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Price data loaded successfully. Showing 301 models from 51 providers.
Provider
GPT
Models
50
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 OpenAI: gpt-oss-20b openai/gpt-oss-20b | 131K | $0.030 | $0.140 | LOW |
| OpenAI: gpt-oss-120b (exacto) openai/gpt-oss-120b:exacto | 131K | $0.040 | $0.200 | LOW |
| OpenAI: gpt-oss-120b openai/gpt-oss-120b | 131K | $0.040 | $0.200 | LOW |
| OpenAI: gpt-oss-safeguard-20b openai/gpt-oss-safeguard-20b | 131K | $0.075 | $0.300 | LOW |
| OpenAI: GPT-5 Nano openai/gpt-5-nano | 400K | $0.050 | $0.400 | LOW |
| OpenAI: GPT-4.1 Nano openai/gpt-4.1-nano | 1M | $0.100 | $0.400 | LOW |
| OpenAI: GPT-4o-mini Search Preview openai/gpt-4o-mini-search-preview | 128K | $0.150 | $0.600 | LOW |
| OpenAI: GPT-4o-mini openai/gpt-4o-mini | 128K | $0.150 | $0.600 | LOW |
| OpenAI: GPT-4o-mini (2024-07-18) openai/gpt-4o-mini-2024-07-18 | 128K | $0.150 | $0.600 | LOW |
| OpenAI: GPT-4.1 Mini openai/gpt-4.1-mini | 1M | $0.400 | $1.60 | MED |
| OpenAI: GPT-3.5 Turbo openai/gpt-3.5-turbo | 16K | $0.500 | $1.50 | MED |
| OpenAI: GPT-5.1-Codex-Mini openai/gpt-5.1-codex-mini | 400K | $0.250 | $2.00 | MED |
| OpenAI: GPT-5 Mini openai/gpt-5-mini | 400K | $0.250 | $2.00 | MED |
| OpenAI: GPT-3.5 Turbo (older v0613) openai/gpt-3.5-turbo-0613 | 4K | $1.00 | $2.00 | MED |
| OpenAI: GPT-3.5 Turbo Instruct openai/gpt-3.5-turbo-instruct | 4K | $1.50 | $2.00 | MED |
| OpenAI: GPT-5 Image Mini openai/gpt-5-image-mini | 400K | $2.50 | $2.00 | MED |
| OpenAI: o4 Mini High openai/o4-mini-high | 200K | $1.10 | $4.40 | MED |
| OpenAI: o4 Mini openai/o4-mini | 200K | $1.10 | $4.40 | MED |
| OpenAI: o3 Mini High openai/o3-mini-high | 200K | $1.10 | $4.40 | MED |
| OpenAI: o3 Mini openai/o3-mini | 200K | $1.10 | $4.40 | MED |
| OpenAI: GPT-3.5 Turbo 16k openai/gpt-3.5-turbo-16k | 16K | $3.00 | $4.00 | MED |
| OpenAI: Codex Mini openai/codex-mini | 200K | $1.50 | $6.00 | MED |
| OpenAI: o4 Mini Deep Research openai/o4-mini-deep-research | 200K | $2.00 | $8.00 | HIGH |
| OpenAI: o3 openai/o3 | 200K | $2.00 | $8.00 | HIGH |
| OpenAI: GPT-4.1 openai/gpt-4.1 | 1M | $2.00 | $8.00 | HIGH |
| OpenAI: GPT-5.1 openai/gpt-5.1 | 400K | $1.25 | $10 | HIGH |
| OpenAI: GPT-5.1 Chat openai/gpt-5.1-chat | 128K | $1.25 | $10 | HIGH |
| OpenAI: GPT-5.1-Codex openai/gpt-5.1-codex | 400K | $1.25 | $10 | HIGH |
| OpenAI: GPT-5 Codex openai/gpt-5-codex | 400K | $1.25 | $10 | HIGH |
| OpenAI: GPT-5 Chat openai/gpt-5-chat | 128K | $1.25 | $10 | HIGH |
| OpenAI: GPT-5 openai/gpt-5 | 400K | $1.25 | $10 | HIGH |
| OpenAI: GPT-4o Audio openai/gpt-4o-audio-preview | 128K | $2.50 | $10 | HIGH |
| OpenAI: GPT-4o Search Preview openai/gpt-4o-search-preview | 128K | $2.50 | $10 | HIGH |
| OpenAI: GPT-4o (2024-11-20) openai/gpt-4o-2024-11-20 | 128K | $2.50 | $10 | HIGH |
| OpenAI: GPT-4o (2024-08-06) openai/gpt-4o-2024-08-06 | 128K | $2.50 | $10 | HIGH |
| OpenAI: GPT-4o openai/gpt-4o | 128K | $2.50 | $10 | HIGH |
| OpenAI: GPT-5 Image openai/gpt-5-image | 400K | $10 | $10 | HIGH |
| OpenAI: ChatGPT-4o openai/chatgpt-4o-latest | 128K | $5.00 | $15 | HIGH |
| OpenAI: GPT-4o (2024-05-13) openai/gpt-4o-2024-05-13 | 128K | $5.00 | $15 | HIGH |
| OpenAI: GPT-4o (extended) openai/gpt-4o:extended | 128K | $6.00 | $18 | HIGH |
| OpenAI: GPT-4 Turbo openai/gpt-4-turbo | 128K | $10 | $30 | HIGH |
| OpenAI: GPT-4 Turbo Preview openai/gpt-4-turbo-preview | 128K | $10 | $30 | HIGH |
| OpenAI: GPT-4 Turbo (older v1106) openai/gpt-4-1106-preview | 128K | $10 | $30 | HIGH |
| OpenAI: o3 Deep Research openai/o3-deep-research | 200K | $10 | $40 | HIGH |
| OpenAI: o1 openai/o1 | 200K | $15 | $60 | HIGH |
| OpenAI: GPT-4 (older v0314) openai/gpt-4-0314 | 8K | $30 | $60 | HIGH |
| OpenAI: GPT-4 openai/gpt-4 | 8K | $30 | $60 | HIGH |
| OpenAI: o3 Pro openai/o3-pro | 200K | $20 | $80 | HIGH |
| OpenAI: GPT-5 Pro openai/gpt-5-pro | 400K | $15 | $120 | HIGH |
| OpenAI: o1-pro openai/o1-pro | 200K | $150 | $600 | HIGH |
Provider
Claude
Models
13
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 Anthropic: Claude 3 Haiku anthropic/claude-3-haiku | 200K | $0.250 | $1.25 | MED |
| Anthropic: Claude 3.5 Haiku (2024-10-22) anthropic/claude-3.5-haiku-20241022 | 200K | $0.800 | $4.00 | MED |
| Anthropic: Claude 3.5 Haiku anthropic/claude-3.5-haiku | 200K | $0.800 | $4.00 | MED |
| Anthropic: Claude Haiku 4.5 anthropic/claude-haiku-4.5 | 200K | $1.00 | $5.00 | MED |
| Anthropic: Claude Sonnet 4.5 anthropic/claude-sonnet-4.5 | 1M | $3.00 | $15 | HIGH |
| Anthropic: Claude Sonnet 4 anthropic/claude-sonnet-4 | 1M | $3.00 | $15 | HIGH |
| Anthropic: Claude 3.7 Sonnet (thinking) anthropic/claude-3.7-sonnet:thinking | 200K | $3.00 | $15 | HIGH |
| Anthropic: Claude 3.7 Sonnet anthropic/claude-3.7-sonnet | 200K | $3.00 | $15 | HIGH |
| Anthropic: Claude 3.5 Sonnet anthropic/claude-3.5-sonnet | 200K | $3.00 | $15 | HIGH |
| Anthropic: Claude Opus 4.5 anthropic/claude-opus-4.5 | 200K | $5.00 | $25 | HIGH |
| Anthropic: Claude Opus 4.1 anthropic/claude-opus-4.1 | 200K | $15 | $75 | HIGH |
| Anthropic: Claude Opus 4 anthropic/claude-opus-4 | 200K | $15 | $75 | HIGH |
| Anthropic: Claude 3 Opus anthropic/claude-3-opus | 200K | $15 | $75 | HIGH |
Provider
Gemini
Models
19
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 Google: Gemma 3n 4B google/gemma-3n-e4b-it | 33K | $0.020 | $0.040 | LOW |
| Google: Gemma 3 4B google/gemma-3-4b-it | 96K | $0.017 | $0.068 | LOW |
| Google: Gemma 2 9B google/gemma-2-9b-it | 8K | $0.030 | $0.090 | LOW |
| Google: Gemma 3 12B google/gemma-3-12b-it | 131K | $0.030 | $0.100 | LOW |
| Google: Gemini 2.0 Flash Lite google/gemini-2.0-flash-lite-001 | 1M | $0.075 | $0.300 | LOW |
| Google: Gemini 2.5 Flash Lite Preview 09-2025 google/gemini-2.5-flash-lite-preview-09-2025 | 1M | $0.100 | $0.400 | LOW |
| Google: Gemini 2.5 Flash Lite google/gemini-2.5-flash-lite | 1M | $0.100 | $0.400 | LOW |
| Google: Gemini 2.0 Flash google/gemini-2.0-flash-001 | 1M | $0.100 | $0.400 | LOW |
| Google: Gemma 3 27B google/gemma-3-27b-it | 131K | $0.070 | $0.500 | LOW |
| Google: Gemma 2 27B google/gemma-2-27b-it | 8K | $0.650 | $0.650 | MED |
| Google: Gemini 2.5 Flash Image (Nano Banana) google/gemini-2.5-flash-image | 33K | $0.300 | $2.50 | MED |
| Google: Gemini 2.5 Flash Preview 09-2025 google/gemini-2.5-flash-preview-09-2025 | 1M | $0.300 | $2.50 | MED |
| Google: Gemini 2.5 Flash Image Preview (Nano Banana) google/gemini-2.5-flash-image-preview | 33K | $0.300 | $2.50 | MED |
| Google: Gemini 2.5 Flash google/gemini-2.5-flash | 1M | $0.300 | $2.50 | MED |
| Google: Gemini 2.5 Pro google/gemini-2.5-pro | 1M | $1.25 | $10 | HIGH |
| Google: Gemini 2.5 Pro Preview 06-05 google/gemini-2.5-pro-preview | 1M | $1.25 | $10 | HIGH |
| Google: Gemini 2.5 Pro Preview 05-06 google/gemini-2.5-pro-preview-05-06 | 1M | $1.25 | $10 | HIGH |
| Google: Nano Banana Pro (Gemini 3 Pro Image Preview) google/gemini-3-pro-image-preview | 66K | $2.00 | $12 | HIGH |
| Google: Gemini 3 Pro Preview google/gemini-3-pro-preview | 1M | $2.00 | $12 | HIGH |
Provider
Grok
Models
7
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 xAI: Grok 4 Fast x-ai/grok-4-fast | 2M | $0.200 | $0.500 | LOW |
| xAI: Grok 3 Mini x-ai/grok-3-mini | 131K | $0.300 | $0.500 | LOW |
| xAI: Grok 3 Mini Beta x-ai/grok-3-mini-beta | 131K | $0.300 | $0.500 | LOW |
| xAI: Grok Code Fast 1 x-ai/grok-code-fast-1 | 256K | $0.200 | $1.50 | MED |
| xAI: Grok 4 x-ai/grok-4 | 256K | $3.00 | $15 | HIGH |
| xAI: Grok 3 x-ai/grok-3 | 131K | $3.00 | $15 | HIGH |
| xAI: Grok 3 Beta x-ai/grok-3-beta | 131K | $3.00 | $15 | HIGH |
Provider
Qwen
Models
38
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 Qwen: Qwen2.5 Coder 7B Instruct qwen/qwen2.5-coder-7b-instruct | 33K | $0.030 | $0.090 | LOW |
| Qwen: Qwen3 8B qwen/qwen3-8b | 128K | $0.028 | $0.110 | LOW |
| Qwen: Qwen2.5 7B Instruct qwen/qwen-2.5-7b-instruct | 33K | $0.040 | $0.100 | LOW |
| Qwen2.5 Coder 32B Instruct qwen/qwen-2.5-coder-32b-instruct | 33K | $0.030 | $0.110 | LOW |
| Qwen: Qwen2.5 VL 72B Instruct qwen/qwen2.5-vl-72b-instruct | 33K | $0.030 | $0.130 | LOW |
| Qwen: Qwen-Turbo qwen/qwen-turbo | 1M | $0.050 | $0.200 | LOW |
| Qwen: Qwen3 14B qwen/qwen3-14b | 41K | $0.050 | $0.220 | LOW |
| Qwen: Qwen2.5 VL 32B Instruct qwen/qwen2.5-vl-32b-instruct | 16K | $0.050 | $0.220 | LOW |
| Qwen: Qwen3 30B A3B qwen/qwen3-30b-a3b | 41K | $0.060 | $0.220 | LOW |
| Qwen: Qwen3 Coder 30B A3B Instruct qwen/qwen3-coder-30b-a3b-instruct | 262K | $0.060 | $0.250 | LOW |
| Qwen: Qwen3 32B qwen/qwen3-32b | 41K | $0.080 | $0.240 | LOW |
| Qwen2.5 72B Instruct qwen/qwen-2.5-72b-instruct | 33K | $0.070 | $0.260 | LOW |
| Qwen: Qwen3 30B A3B Thinking 2507 qwen/qwen3-30b-a3b-thinking-2507 | 33K | $0.051 | $0.340 | LOW |
| Qwen: Qwen2.5-VL 7B Instruct qwen/qwen-2.5-vl-7b-instruct | 33K | $0.200 | $0.200 | LOW |
| Qwen: Qwen3 30B A3B Instruct 2507 qwen/qwen3-30b-a3b-instruct-2507 | 262K | $0.080 | $0.330 | LOW |
| Qwen: Qwen3 VL 8B Instruct qwen/qwen3-vl-8b-instruct | 131K | $0.064 | $0.400 | LOW |
| Qwen: Qwen3 235B A22B Instruct 2507 qwen/qwen3-235b-a22b-2507 | 131K | $0.072 | $0.464 | LOW |
| Qwen: QwQ 32B qwen/qwq-32b | 33K | $0.150 | $0.400 | LOW |
| Qwen: Qwen3 235B A22B Thinking 2507 qwen/qwen3-235b-a22b-thinking-2507 | 262K | $0.110 | $0.600 | LOW |
| Qwen: Qwen3 235B A22B qwen/qwen3-235b-a22b | 41K | $0.180 | $0.540 | LOW |
| Qwen: Qwen3 VL 30B A3B Instruct qwen/qwen3-vl-30b-a3b-instruct | 262K | $0.150 | $0.600 | LOW |
| Qwen: Qwen VL Plus qwen/qwen-vl-plus | 8K | $0.210 | $0.630 | LOW |
| Qwen: Qwen3 Next 80B A3B Instruct qwen/qwen3-next-80b-a3b-instruct | 262K | $0.100 | $0.800 | LOW |
| Qwen: Qwen3 VL 30B A3B Thinking qwen/qwen3-vl-30b-a3b-thinking | 131K | $0.160 | $0.800 | LOW |
| Qwen: Qwen3 Coder 480B A35B qwen/qwen3-coder | 262K | $0.220 | $0.950 | MED |
| Qwen: Qwen3 Next 80B A3B Thinking qwen/qwen3-next-80b-a3b-thinking | 131K | $0.120 | $1.20 | MED |
| Qwen: Qwen3 VL 235B A22B Thinking qwen/qwen3-vl-235b-a22b-thinking | 262K | $0.300 | $1.20 | MED |
| Qwen: Qwen Plus 0728 qwen/qwen-plus-2025-07-28 | 1M | $0.400 | $1.20 | MED |
| Qwen: Qwen-Plus qwen/qwen-plus | 131K | $0.400 | $1.20 | MED |
| Qwen: Qwen3 Coder Flash qwen/qwen3-coder-flash | 128K | $0.300 | $1.50 | MED |
| Qwen: Qwen3 Coder 480B A35B (exacto) qwen/qwen3-coder:exacto | 262K | $0.380 | $1.53 | MED |
| Qwen: Qwen3 VL 235B A22B Instruct qwen/qwen3-vl-235b-a22b-instruct | 131K | $0.210 | $1.90 | MED |
| Qwen: Qwen3 VL 8B Thinking qwen/qwen3-vl-8b-thinking | 256K | $0.180 | $2.10 | MED |
| Qwen: Qwen VL Max qwen/qwen-vl-max | 131K | $0.800 | $3.20 | MED |
| Qwen: Qwen Plus 0728 (thinking) qwen/qwen-plus-2025-07-28:thinking | 1M | $0.400 | $4.00 | MED |
| Qwen: Qwen3 Coder Plus qwen/qwen3-coder-plus | 128K | $1.00 | $5.00 | MED |
| Qwen: Qwen3 Max qwen/qwen3-max | 256K | $1.20 | $6.00 | MED |
| Qwen: Qwen-Max qwen/qwen-max | 33K | $1.60 | $6.40 | MED |
Provider
DeepSeek
Models
13
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 DeepSeek: DeepSeek R1 0528 Qwen3 8B deepseek/deepseek-r1-0528-qwen3-8b | 33K | $0.020 | $0.100 | LOW |
| DeepSeek: R1 Distill Llama 70B deepseek/deepseek-r1-distill-llama-70b | 131K | $0.030 | $0.130 | LOW |
| DeepSeek: R1 Distill Qwen 14B deepseek/deepseek-r1-distill-qwen-14b | 33K | $0.120 | $0.120 | LOW |
| DeepSeek: R1 Distill Qwen 32B deepseek/deepseek-r1-distill-qwen-32b | 64K | $0.240 | $0.240 | LOW |
| DeepSeek: DeepSeek V3.2 Exp deepseek/deepseek-v3.2-exp | 164K | $0.216 | $0.328 | LOW |
| DeepSeek: DeepSeek V3.1 deepseek/deepseek-chat-v3.1 | 164K | $0.200 | $0.800 | LOW |
| DeepSeek: DeepSeek V3.1 Terminus (exacto) deepseek/deepseek-v3.1-terminus:exacto | 131K | $0.216 | $0.800 | MED |
| DeepSeek: DeepSeek V3.1 Terminus deepseek/deepseek-v3.1-terminus | 131K | $0.216 | $0.800 | MED |
| DeepSeek: DeepSeek V3 0324 deepseek/deepseek-chat-v3-0324 | 164K | $0.200 | $0.880 | MED |
| DeepSeek: R1 deepseek/deepseek-r1 | 164K | $0.300 | $1.20 | MED |
| DeepSeek: DeepSeek V3 deepseek/deepseek-chat | 164K | $0.300 | $1.20 | MED |
| DeepSeek: DeepSeek Prover V2 deepseek/deepseek-prover-v2 | 164K | $0.500 | $2.18 | MED |
| DeepSeek: R1 0528 deepseek/deepseek-r1-0528 | 164K | $0.200 | $4.50 | MED |
Provider
Mistral
Models
31
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
'%3e%3cpath%20d='M54.3219%200H27.1528V27.0892H54.3219V0Z'%20fill='%23FFD800'/%3e%3cpath%20d='M162.984%200H135.815V27.0892H162.984V0Z'%20fill='%23FFD800'/%3e%3cpath%20d='M81.482%2027.0913H27.1528V54.1805H81.482V27.0913Z'%20fill='%23FFAF00'/%3e%3cpath%20d='M162.99%2027.0913H108.661V54.1805H162.99V27.0913Z'%20fill='%23FFAF00'/%3e%3cpath%20d='M162.971%2054.168H27.1528V81.2572H162.971V54.168Z'%20fill='%23FF8205'/%3e%3cpath%20d='M54.3219%2081.2593H27.1528V108.349H54.3219V81.2593Z'%20fill='%23FA500F'/%3e%3cpath%20d='M108.661%2081.2593H81.4917V108.349H108.661V81.2593Z'%20fill='%23FA500F'/%3e%3cpath%20d='M162.984%2081.2593H135.815V108.349H162.984V81.2593Z'%20fill='%23FA500F'/%3e%3cpath%20d='M81.4879%20108.339H-0.00146484V135.429H81.4879V108.339Z'%20fill='%23E10500'/%3e%3cpath%20d='M190.159%20108.339H108.661V135.429H190.159V108.339Z'%20fill='%23E10500'/%3e%3c/g%3e%3cdefs%3e%3cclipPath%20id='clip0_173_337'%3e%3crect%20width='190.141'%20height='135'%20fill='white'/%3e%3c/clipPath%3e%3c/defs%3e%3c/svg%3e) Mistral: Mistral Nemo mistralai/mistral-nemo | 131K | $0.020 | $0.040 | LOW |
| Mistral: Ministral 3B mistralai/ministral-3b | 131K | $0.040 | $0.040 | LOW |
| Mistral: Mistral 7B Instruct mistralai/mistral-7b-instruct | 33K | $0.028 | $0.054 | LOW |
| Mistral: Mistral Small 3 mistralai/mistral-small-24b-instruct-2501 | 33K | $0.050 | $0.080 | LOW |
| Mistral: Mistral Small 3.1 24B mistralai/mistral-small-3.1-24b-instruct | 131K | $0.030 | $0.110 | LOW |
| Mistral: Devstral Small 2505 mistralai/devstral-small-2505 | 128K | $0.060 | $0.120 | LOW |
| Mistral: Ministral 8B mistralai/ministral-8b | 131K | $0.100 | $0.100 | LOW |
| Mistral: Pixtral 12B mistralai/pixtral-12b | 33K | $0.100 | $0.100 | LOW |
| Mistral: Mistral Small 3.2 24B mistralai/mistral-small-3.2-24b-instruct | 131K | $0.060 | $0.180 | LOW |
| Mistral: Mistral 7B Instruct v0.1 mistralai/mistral-7b-instruct-v0.1 | 3K | $0.110 | $0.190 | LOW |
| Mistral: Devstral Small 1.1 mistralai/devstral-small | 128K | $0.070 | $0.280 | LOW |
| Mistral: Voxtral Small 24B 2507 mistralai/voxtral-small-24b-2507 | 32K | $0.100 | $0.300 | LOW |
| Mistral: Mistral 7B Instruct v0.3 mistralai/mistral-7b-instruct-v0.3 | 33K | $0.200 | $0.200 | LOW |
| Mistral: Mistral 7B Instruct v0.2 mistralai/mistral-7b-instruct-v0.2 | 33K | $0.200 | $0.200 | LOW |
| Mistral Tiny mistralai/mistral-tiny | 33K | $0.250 | $0.250 | LOW |
| Mistral: Saba mistralai/mistral-saba | 33K | $0.200 | $0.600 | LOW |
| Mistral Small mistralai/mistral-small | 33K | $0.200 | $0.600 | LOW |
| Mistral: Mixtral 8x7B Instruct mistralai/mixtral-8x7b-instruct | 33K | $0.540 | $0.540 | MED |
| Mistral: Codestral 2508 mistralai/codestral-2508 | 256K | $0.300 | $0.900 | MED |
| Mistral: Codestral 2501 mistralai/codestral-2501 | 256K | $0.300 | $0.900 | MED |
| Mistral: Magistral Small 2506 mistralai/magistral-small-2506 | 40K | $0.500 | $1.50 | MED |
| Mistral: Mistral Medium 3.1 mistralai/mistral-medium-3.1 | 131K | $0.400 | $2.00 | MED |
| Mistral: Devstral Medium mistralai/devstral-medium | 131K | $0.400 | $2.00 | MED |
| Mistral: Mistral Medium 3 mistralai/mistral-medium-3 | 131K | $0.400 | $2.00 | MED |
| Mistral: Magistral Medium 2506 (thinking) mistralai/magistral-medium-2506:thinking | 41K | $2.00 | $5.00 | MED |
| Mistral: Magistral Medium 2506 mistralai/magistral-medium-2506 | 41K | $2.00 | $5.00 | MED |
| Mistral Large 2411 mistralai/mistral-large-2411 | 131K | $2.00 | $6.00 | MED |
| Mistral Large 2407 mistralai/mistral-large-2407 | 131K | $2.00 | $6.00 | MED |
| Mistral: Pixtral Large 2411 mistralai/pixtral-large-2411 | 131K | $2.00 | $6.00 | MED |
| Mistral: Mixtral 8x22B Instruct mistralai/mixtral-8x22b-instruct | 66K | $2.00 | $6.00 | MED |
| Mistral Large mistralai/mistral-large | 128K | $2.00 | $6.00 | MED |
Provider
Cohere
Models
4
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
'%3e%3cpath%20fill-rule='evenodd'%20clip-rule='evenodd'%20d='M10.3615%2019.053C11.2016%2019.053%2012.8726%2019.0057%2015.1823%2018.0307C17.8739%2016.8945%2023.229%2014.8318%2027.0919%2012.7132C29.7936%2011.2314%2030.9779%209.27159%2030.9779%206.63236C30.978%202.96943%2028.0819%200%2024.5094%200H9.54127C4.40983%200%200.25%204.26514%200.25%209.52649C0.25%2014.7878%204.14483%2019.053%2010.3615%2019.053Z'%20fill='%23355146'/%3e%3cpath%20fill-rule='evenodd'%20clip-rule='evenodd'%20d='M12.8928%2025.6161C12.8928%2023.0371%2014.4071%2020.7118%2016.7303%2019.7231L21.4441%2017.7173C26.2121%2015.6884%2031.46%2019.281%2031.46%2024.5741C31.46%2028.6749%2028.2172%2031.999%2024.2176%2031.9979L19.114%2031.9965C15.6778%2031.9956%2012.8928%2029.1392%2012.8928%2025.6161Z'%20fill='%23D18EE2'/%3e%3cpath%20d='M5.60615%2020.3047H5.60606C2.64799%2020.3047%200.25%2022.7634%200.25%2025.7963V26.5076C0.25%2029.5406%202.64799%2031.9993%205.60606%2031.9993H5.60615C8.56422%2031.9993%2010.9622%2029.5406%2010.9622%2026.5076V25.7963C10.9622%2022.7634%208.56422%2020.3047%205.60615%2020.3047Z'%20fill='%23FF7759'/%3e%3c/g%3e%3cdefs%3e%3cclipPath%20id='clip0_3915_2196'%3e%3crect%20width='31.2099'%20height='32'%20fill='white'%20transform='translate(0.25)'/%3e%3c/clipPath%3e%3c/defs%3e%3c/svg%3e) Cohere: Command R7B (12-2024) cohere/command-r7b-12-2024 | 128K | $0.037 | $0.150 | LOW |
| Cohere: Command R (08-2024) cohere/command-r-08-2024 | 128K | $0.150 | $0.600 | LOW |
| Cohere: Command A cohere/command-a | 256K | $2.50 | $10 | HIGH |
| Cohere: Command R+ (08-2024) cohere/command-r-plus-08-2024 | 128K | $2.50 | $10 | HIGH |
Provider
MoonshotAI
Models
6
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 MoonshotAI: Kimi Linear 48B A3B Instruct moonshotai/kimi-linear-48b-a3b-instruct | 1M | $0.500 | $0.600 | MED |
| MoonshotAI: Kimi Dev 72B moonshotai/kimi-dev-72b | 131K | $0.290 | $1.15 | MED |
| MoonshotAI: Kimi K2 0905 moonshotai/kimi-k2-0905 | 262K | $0.390 | $1.90 | MED |
| MoonshotAI: Kimi K2 0711 moonshotai/kimi-k2 | 131K | $0.456 | $1.84 | MED |
| MoonshotAI: Kimi K2 Thinking moonshotai/kimi-k2-thinking | 262K | $0.450 | $2.35 | MED |
| MoonshotAI: Kimi K2 0905 (exacto) moonshotai/kimi-k2-0905:exacto | 262K | $0.600 | $2.50 | MED |
Provider
ByteDance
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 ByteDance: UI-TARS 7B bytedance/ui-tars-1.5-7b | 128K | $0.100 | $0.200 | LOW |
Provider
DeepCogito
Models
5
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Cogito V2 Preview Llama 109B deepcogito/cogito-v2-preview-llama-109b-moe | 33K | $0.180 | $0.590 | LOW |
Deep Cogito: Cogito V2 Preview Llama 70B deepcogito/cogito-v2-preview-llama-70b | 33K | $0.880 | $0.880 | MED |
Deep Cogito: Cogito v2.1 671B deepcogito/cogito-v2.1-671b | 128K | $1.25 | $1.25 | MED |
Deep Cogito: Cogito V2 Preview Deepseek 671B deepcogito/cogito-v2-preview-deepseek-671b | 164K | $1.25 | $1.25 | MED |
Deep Cogito: Cogito V2 Preview Llama 405B deepcogito/cogito-v2-preview-llama-405b | 33K | $3.50 | $3.50 | MED |
Provider
Baidu
Models
5
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Baidu: ERNIE 4.5 21B A3B Thinking baidu/ernie-4.5-21b-a3b-thinking | 131K | $0.056 | $0.224 | LOW |
Baidu: ERNIE 4.5 21B A3B baidu/ernie-4.5-21b-a3b | 120K | $0.056 | $0.224 | LOW |
Baidu: ERNIE 4.5 VL 28B A3B baidu/ernie-4.5-vl-28b-a3b | 30K | $0.112 | $0.448 | LOW |
Baidu: ERNIE 4.5 300B A47B baidu/ernie-4.5-300b-a47b | 123K | $0.224 | $0.880 | MED |
Baidu: ERNIE 4.5 VL 424B A47B baidu/ernie-4.5-vl-424b-a47b | 123K | $0.336 | $1.00 | MED |
Provider
Z-AI
Models
6
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
'%3e%3cpath%20d='M137.381%200H22.619C10.1269%200%200%2010.1269%200%2022.619V137.381C0%20149.873%2010.1269%20160%2022.619%20160H137.381C149.873%20160%20160%20149.873%20160%20137.381V22.619C160%2010.1269%20149.873%200%20137.381%200Z'%20fill='black'/%3e%3cpath%20d='M82.771%2033.208L75.0661%2044.157C74.4609%2045.0175%2073.6581%2045.7202%2072.7251%2046.2063C71.7922%2046.6924%2070.7562%2046.9476%2069.7043%2046.9506H27.7104V33.1629L82.771%2033.208Z'%20fill='white'/%3e%3cpath%20d='M135.083%2033.2075L68.9835%20126.837H24.917L91.0167%2033.2075H135.083Z'%20fill='white'/%3e%3cpath%20d='M77.2741%20126.837L85.024%20115.843C85.6315%20114.988%2086.4359%20114.292%2087.3692%20113.814C88.3024%20113.336%2089.3371%20113.089%2090.3859%20113.095H132.335V126.612L77.2741%20126.837Z'%20fill='white'/%3e%3c/g%3e%3cdefs%3e%3cclipPath%20id='clip0_3_10'%3e%3crect%20width='160'%20height='160'%20fill='white'/%3e%3c/clipPath%3e%3c/defs%3e%3c/svg%3e) Z.AI: GLM 4 32B z-ai/glm-4-32b | 128K | $0.100 | $0.100 | LOW |
| Z.AI: GLM 4.5 Air z-ai/glm-4.5-air | 131K | $0.104 | $0.680 | LOW |
| Z.AI: GLM 4.5 z-ai/glm-4.5 | 131K | $0.350 | $1.55 | MED |
| Z.AI: GLM 4.5V z-ai/glm-4.5v | 66K | $0.480 | $1.44 | MED |
| Z.AI: GLM 4.6 z-ai/glm-4.6 | 203K | $0.400 | $1.75 | MED |
| Z.AI: GLM 4.6 (exacto) z-ai/glm-4.6:exacto | 205K | $0.440 | $1.76 | MED |
Provider
Tencent
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Tencent: Hunyuan A13B Instruct tencent/hunyuan-a13b-instruct | 131K | $0.140 | $0.570 | LOW |
Provider
MiniMax
Models
3
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
MiniMax: MiniMax M2 minimax/minimax-m2 | 205K | $0.255 | $1.02 | MED |
MiniMax: MiniMax-01 minimax/minimax-01 | 1M | $0.200 | $1.10 | MED |
MiniMax: MiniMax M1 minimax/minimax-m1 | 1M | $0.400 | $2.20 | MED |
Provider
Meta-Llama
Models
16
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 Meta: Llama 3.2 3B Instruct meta-llama/llama-3.2-3b-instruct | 131K | $0.020 | $0.020 | LOW |
| Meta: Llama 3.1 8B Instruct meta-llama/llama-3.1-8b-instruct | 131K | $0.020 | $0.030 | LOW |
| Llama Guard 3 8B meta-llama/llama-guard-3-8b | 131K | $0.020 | $0.060 | LOW |
| Meta: Llama 3 8B Instruct meta-llama/llama-3-8b-instruct | 8K | $0.030 | $0.060 | LOW |
| Meta: Llama 3.2 11B Vision Instruct meta-llama/llama-3.2-11b-vision-instruct | 131K | $0.049 | $0.049 | LOW |
| Meta: Llama 3.2 1B Instruct meta-llama/llama-3.2-1b-instruct | 60K | $0.027 | $0.200 | LOW |
| Meta: Llama Guard 4 12B meta-llama/llama-guard-4-12b | 164K | $0.180 | $0.180 | LOW |
| Meta: Llama 4 Scout meta-llama/llama-4-scout | 328K | $0.080 | $0.300 | LOW |
| Meta: LlamaGuard 2 8B meta-llama/llama-guard-2-8b | 8K | $0.200 | $0.200 | LOW |
| Meta: Llama 3.3 70B Instruct meta-llama/llama-3.3-70b-instruct | 131K | $0.104 | $0.312 | LOW |
| Meta: Llama 3 70B Instruct meta-llama/llama-3-70b-instruct | 8K | $0.300 | $0.400 | LOW |
| Meta: Llama 3.2 90B Vision Instruct meta-llama/llama-3.2-90b-vision-instruct | 33K | $0.350 | $0.400 | LOW |
| Meta: Llama 3.1 70B Instruct meta-llama/llama-3.1-70b-instruct | 131K | $0.400 | $0.400 | LOW |
| Meta: Llama 4 Maverick meta-llama/llama-4-maverick | 1M | $0.136 | $0.680 | LOW |
| Meta: Llama 3.1 405B Instruct meta-llama/llama-3.1-405b-instruct | 131K | $3.50 | $3.50 | MED |
| Meta: Llama 3.1 405B (base) meta-llama/llama-3.1-405b | 33K | $4.00 | $4.00 | MED |
Provider
Microsoft
Models
8
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
%20--%3e%3csvg%20version='1.1'%20id='Layer_1'%20xmlns='http://www.w3.org/2000/svg'%20xmlns:xlink='http://www.w3.org/1999/xlink'%20x='0px'%20y='0px'%20viewBox='0%200%20129%20129'%20style='enable-background:new%200%200%20129%20129;'%20xml:space='preserve'%3e%3cstyle%20type='text/css'%3e%20.st0{fill:%23F25022;}%20.st1{fill:%237FBA00;}%20.st2{fill:%2300A4EF;}%20.st3{fill:%23FFB900;}%20%3c/style%3e%3cpath%20class='st0'%20d='M0,0h61.3v61.3H0V0z'/%3e%3cpath%20class='st1'%20d='M67.7,0H129v61.3H67.7V0z'/%3e%3cpath%20class='st2'%20d='M0,67.7h61.3V129H0V67.7z'/%3e%3cpath%20class='st3'%20d='M67.7,67.7H129V129H67.7V67.7z'/%3e%3c/svg%3e) Microsoft: Phi 4 Multimodal Instruct microsoft/phi-4-multimodal-instruct | 131K | $0.050 | $0.100 | LOW |
| Microsoft: Phi-3.5 Mini 128K Instruct microsoft/phi-3.5-mini-128k-instruct | 128K | $0.100 | $0.100 | LOW |
| Microsoft: Phi-3 Mini 128K Instruct microsoft/phi-3-mini-128k-instruct | 128K | $0.100 | $0.100 | LOW |
| Microsoft: Phi 4 microsoft/phi-4 | 16K | $0.060 | $0.140 | LOW |
| Microsoft: Phi 4 Reasoning Plus microsoft/phi-4-reasoning-plus | 33K | $0.070 | $0.350 | LOW |
| WizardLM-2 8x22B microsoft/wizardlm-2-8x22b | 66K | $0.480 | $0.480 | LOW |
| Microsoft: MAI DS R1 microsoft/mai-ds-r1 | 164K | $0.300 | $1.20 | MED |
| Microsoft: Phi-3 Medium 128K Instruct microsoft/phi-3-medium-128k-instruct | 128K | $1.00 | $1.00 | MED |
Provider
NVIDIA
Models
5
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 NVIDIA: Nemotron Nano 9B V2 nvidia/nemotron-nano-9b-v2 | 131K | $0.040 | $0.160 | LOW |
| NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 nvidia/llama-3.3-nemotron-super-49b-v1.5 | 131K | $0.100 | $0.400 | LOW |
| NVIDIA: Nemotron Nano 12B 2 VL nvidia/nemotron-nano-12b-v2-vl | 131K | $0.200 | $0.600 | LOW |
| NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 nvidia/llama-3.1-nemotron-ultra-253b-v1 | 131K | $0.600 | $1.80 | MED |
| NVIDIA: Llama 3.1 Nemotron 70B Instruct nvidia/llama-3.1-nemotron-70b-instruct | 131K | $1.20 | $1.20 | MED |
Provider
Perplexity
Models
6
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 Perplexity: Sonar perplexity/sonar | 127K | $1.00 | $1.00 | MED |
| Perplexity: Sonar Reasoning perplexity/sonar-reasoning | 127K | $1.00 | $5.00 | MED |
| Perplexity: Sonar Reasoning Pro perplexity/sonar-reasoning-pro | 128K | $2.00 | $8.00 | HIGH |
| Perplexity: Sonar Deep Research perplexity/sonar-deep-research | 128K | $2.00 | $8.00 | HIGH |
| Perplexity: Sonar Pro Search perplexity/sonar-pro-search | 200K | $3.00 | $15 | HIGH |
| Perplexity: Sonar Pro perplexity/sonar-pro | 200K | $3.00 | $15 | HIGH |
Provider
Amazon
Models
4
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 Amazon: Nova Micro 1.0 amazon/nova-micro-v1 | 128K | $0.035 | $0.140 | LOW |
| Amazon: Nova Lite 1.0 amazon/nova-lite-v1 | 300K | $0.060 | $0.240 | LOW |
| Amazon: Nova Pro 1.0 amazon/nova-pro-v1 | 300K | $0.800 | $3.20 | MED |
| Amazon: Nova Premier 1.0 amazon/nova-premier-v1 | 1M | $2.50 | $13 | HIGH |
Provider
prime-intellect
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Prime Intellect: INTELLECT-3 prime-intellect/intellect-3 | 131K | $0.200 | $1.10 | MED |
Provider
tngtech
Models
3
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
TNG: R1T Chimera tngtech/tng-r1t-chimera | 164K | $0.300 | $1.20 | MED |
TNG: DeepSeek R1T2 Chimera tngtech/deepseek-r1t2-chimera | 164K | $0.300 | $1.20 | MED |
TNG: DeepSeek R1T Chimera tngtech/deepseek-r1t-chimera | 164K | $0.300 | $1.20 | MED |
Provider
allenai
Models
4
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
AllenAI: Olmo 2 32B Instruct allenai/olmo-2-0325-32b-instruct | 128K | $0.050 | $0.200 | LOW |
AllenAI: Olmo 3 7B Instruct allenai/olmo-3-7b-instruct | 66K | $0.100 | $0.200 | LOW |
AllenAI: Olmo 3 7B Think allenai/olmo-3-7b-think | 66K | $0.120 | $0.200 | LOW |
AllenAI: Olmo 3 32B Think allenai/olmo-3-32b-think | 66K | $0.300 | $0.550 | LOW |
Provider
liquid
Models
2
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
LiquidAI/LFM2-8B-A1B liquid/lfm2-8b-a1b | 33K | $0.050 | $0.100 | LOW |
LiquidAI/LFM2-2.6B liquid/lfm-2.2-6b | 33K | $0.050 | $0.100 | LOW |
Provider
ibm-granite
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
IBM: Granite 4.0 Micro ibm-granite/granite-4.0-h-micro | 131K | $0.017 | $0.110 | LOW |
Provider
thedrummer
Models
5
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
TheDrummer: Rocinante 12B thedrummer/rocinante-12b | 33K | $0.170 | $0.430 | LOW |
TheDrummer: UnslopNemo 12B thedrummer/unslopnemo-12b | 33K | $0.400 | $0.400 | LOW |
TheDrummer: Cydonia 24B V4.1 thedrummer/cydonia-24b-v4.1 | 131K | $0.300 | $0.500 | LOW |
TheDrummer: Skyfall 36B V2 thedrummer/skyfall-36b-v2 | 33K | $0.500 | $0.800 | MED |
TheDrummer: Anubis 70B V1.1 thedrummer/anubis-70b-v1.1 | 131K | $0.750 | $1.00 | MED |
Provider
relace
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Relace: Relace Apply 3 relace/relace-apply-3 | 256K | $0.850 | $1.25 | MED |
Provider
alibaba
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
| Tongyi DeepResearch 30B A3B alibaba/tongyi-deepresearch-30b-a3b | 131K | $0.090 | $0.400 | LOW |
Provider
opengvlab
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
OpenGVLab: InternVL3 78B opengvlab/internvl3-78b | 33K | $0.070 | $0.260 | LOW |
Provider
meituan
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Meituan: LongCat Flash Chat meituan/longcat-flash-chat | 131K | $0.150 | $0.750 | LOW |
Provider
stepfun-ai
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
 StepFun: Step3 stepfun-ai/step3 | 66K | $0.570 | $1.42 | MED |
Provider
nousresearch
Models
6
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
NousResearch: Hermes 2 Pro - Llama-3 8B nousresearch/hermes-2-pro-llama-3-8b | 8K | $0.025 | $0.080 | LOW |
Nous: DeepHermes 3 Mistral 24B Preview nousresearch/deephermes-3-mistral-24b-preview | 33K | $0.050 | $0.200 | LOW |
Nous: Hermes 4 70B nousresearch/hermes-4-70b | 131K | $0.110 | $0.380 | LOW |
Nous: Hermes 3 70B Instruct nousresearch/hermes-3-llama-3.1-70b | 66K | $0.300 | $0.300 | LOW |
Nous: Hermes 4 405B nousresearch/hermes-4-405b | 131K | $0.300 | $1.20 | MED |
Nous: Hermes 3 405B Instruct nousresearch/hermes-3-llama-3.1-405b | 131K | $1.00 | $1.00 | MED |
Provider
ai21
Models
2
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
AI21: Jamba Mini 1.7 ai21/jamba-mini-1.7 | 256K | $0.200 | $0.400 | LOW |
AI21: Jamba Large 1.7 ai21/jamba-large-1.7 | 256K | $2.00 | $8.00 | HIGH |
Provider
switchpoint
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Switchpoint Router switchpoint/router | 131K | $0.850 | $3.40 | MED |
Provider
thudm
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
THUDM: GLM 4.1V 9B Thinking thudm/glm-4.1v-9b-thinking | 66K | $0.028 | $0.110 | LOW |
Provider
morph
Models
2
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Morph: Morph V3 Fast morph/morph-v3-fast | 82K | $0.800 | $1.20 | MED |
Morph: Morph V3 Large morph/morph-v3-large | 262K | $0.900 | $1.90 | MED |
Provider
inception
Models
2
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Inception: Mercury inception/mercury | 128K | $0.250 | $1.00 | MED |
Inception: Mercury Coder inception/mercury-coder | 128K | $0.250 | $1.00 | MED |
Provider
arcee-ai
Models
4
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Arcee AI: Spotlight arcee-ai/spotlight | 131K | $0.180 | $0.180 | LOW |
Arcee AI: Coder Large arcee-ai/coder-large | 33K | $0.500 | $0.800 | MED |
Arcee AI: Virtuoso Large arcee-ai/virtuoso-large | 131K | $0.750 | $1.20 | MED |
Arcee AI: Maestro Reasoning arcee-ai/maestro-reasoning | 131K | $0.900 | $3.30 | MED |
Provider
eleutherai
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
EleutherAI: Llemma 7b eleutherai/llemma_7b | 4K | $0.800 | $1.20 | MED |
Provider
alfredpros
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
AlfredPros: CodeLLaMa 7B Instruct Solidity alfredpros/codellama-7b-instruct-solidity | 4K | $0.800 | $1.20 | MED |
Provider
arliai
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
ArliAI: QwQ 32B RpR v1 arliai/qwq-32b-arliai-rpr-v1 | 33K | $0.030 | $0.110 | LOW |
Provider
aion-labs
Models
3
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
AionLabs: Aion-RP 1.0 (8B) aion-labs/aion-rp-llama-3.1-8b | 33K | $0.200 | $0.200 | LOW |
AionLabs: Aion-1.0-Mini aion-labs/aion-1.0-mini | 131K | $0.700 | $1.40 | MED |
AionLabs: Aion-1.0 aion-labs/aion-1.0 | 131K | $4.00 | $8.00 | HIGH |
Provider
sao10k
Models
5
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Sao10K: Llama 3 8B Lunaris sao10k/l3-lunaris-8b | 8K | $0.040 | $0.050 | LOW |
Sao10K: Llama 3.3 Euryale 70B sao10k/l3.3-euryale-70b | 131K | $0.650 | $0.750 | MED |
Sao10K: Llama 3.1 Euryale 70B v2.2 sao10k/l3.1-euryale-70b | 33K | $0.650 | $0.750 | MED |
Sao10k: Llama 3 Euryale 70B v2.1 sao10k/l3-euryale-70b | 8K | $1.48 | $1.48 | MED |
Sao10K: Llama 3.1 70B Hanami x1 sao10k/l3.1-70b-hanami-x1 | 16K | $3.00 | $3.00 | MED |
Provider
raifle
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
SorcererLM 8x22B raifle/sorcererlm-8x22b | 16K | $4.50 | $4.50 | MED |
Provider
anthracite-org
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Magnum v4 72B anthracite-org/magnum-v4-72b | 16K | $3.00 | $5.00 | MED |
Provider
inflection
Models
2
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Inflection: Inflection 3 Productivity inflection/inflection-3-productivity | 8K | $2.50 | $10 | HIGH |
Inflection: Inflection 3 Pi inflection/inflection-3-pi | 8K | $2.50 | $10 | HIGH |
Provider
neversleep
Models
2
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
NeverSleep: Lumimaid v0.2 8B neversleep/llama-3.1-lumimaid-8b | 33K | $0.090 | $0.600 | LOW |
Noromaid 20B neversleep/noromaid-20b | 4K | $1.00 | $1.75 | MED |
Provider
alpindale
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Goliath 120B alpindale/goliath-120b | 6K | $6.00 | $8.00 | HIGH |
Provider
mancer
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
Mancer: Weaver (alpha) mancer/weaver | 8K | $1.13 | $1.13 | MED |
Provider
undi95
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
ReMM SLERP 13B undi95/remm-slerp-l2-13b | 6K | $0.450 | $0.650 | MED |
Provider
gryphe
Models
1
| Model | Context | Input $/M | Output $/M | Tier |
|---|---|---|---|---|
MythoMax 13B gryphe/mythomax-l2-13b | 4K | $0.060 | $0.060 | LOW |