Free price reference
LLM pricing, every model side by side
Cost per million tokens (input, output, and cache), plus context windows, for 4,880 models across every major provider. Prices sync daily from the open LiteLLM dataset. Pick a model for details and a workload cost calculator.
| Model | Provider ↑ | Input /Mtok | Output /Mtok | Cache read | Cache write | Context | Modality |
|---|---|---|---|---|---|---|---|
|
deepinfra/Qwen/Qwen3-30B-A3B
deepinfra/Qwen/Qwen3-30B-A3B
|
Deepinfra | $0.1200 | $0.5000 | — | — | 40,960 | text |
|
deepinfra/Qwen/Qwen3-32B
deepinfra/Qwen/Qwen3-32B
|
Deepinfra | $0.0800 | $0.2800 | — | — | 40,960 | text |
|
deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct
deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct
|
Deepinfra | $0.4000 | $1.60 | — | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo
deepinfra/Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo
|
Deepinfra | $0.3000 | $1.00 | $0.1000 | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3-Max
deepinfra/Qwen/Qwen3-Max
|
Deepinfra | $1.20 | $6.00 | $0.2400 | — | 256,000 | text |
|
deepinfra/Qwen/Qwen3-Max-Thinking
deepinfra/Qwen/Qwen3-Max-Thinking
|
Deepinfra | $1.20 | $6.00 | $0.2400 | — | 256,000 | text |
|
deepinfra/Qwen/Qwen3-Next-80B-A3B-Instruct
deepinfra/Qwen/Qwen3-Next-80B-A3B-Instruct
|
Deepinfra | $0.0900 | $1.10 | — | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3-Next-80B-A3B-Thinking
deepinfra/Qwen/Qwen3-Next-80B-A3B-Thinking
|
Deepinfra | $0.1400 | $1.40 | — | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3-VL-235B-A22B-Instruct
deepinfra/Qwen/Qwen3-VL-235B-A22B-Instruct
|
Deepinfra | $0.2000 | $0.8800 | $0.1100 | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3-VL-30B-A3B-Instruct
deepinfra/Qwen/Qwen3-VL-30B-A3B-Instruct
|
Deepinfra | $0.1500 | $0.6000 | — | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.5-122B-A10B
deepinfra/Qwen/Qwen3.5-122B-A10B
|
Deepinfra | $0.2900 | $2.40 | — | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.5-27B
deepinfra/Qwen/Qwen3.5-27B
|
Deepinfra | $0.2600 | $2.60 | — | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.5-35B-A3B
deepinfra/Qwen/Qwen3.5-35B-A3B
|
Deepinfra | $0.1400 | $1.00 | $0.0500 | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.5-397B-A17B
deepinfra/Qwen/Qwen3.5-397B-A17B
|
Deepinfra | $0.4500 | $3.00 | $0.2200 | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.5-9B
deepinfra/Qwen/Qwen3.5-9B
|
Deepinfra | $0.1000 | $0.1500 | — | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.6-27B
deepinfra/Qwen/Qwen3.6-27B
|
Deepinfra | $0.3200 | $3.20 | — | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.6-35B-A3B
deepinfra/Qwen/Qwen3.6-35B-A3B
|
Deepinfra | $0.1000 | $0.9500 | — | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.7-Max
deepinfra/Qwen/Qwen3.7-Max
|
Deepinfra | $2.50 | $7.50 | $0.5000 | — | 256,000 | text |
|
deepinfra/Qwen/Qwen3.8-2.4T-A95B
deepinfra/Qwen/Qwen3.8-2.4T-A95B
|
Deepinfra | $2.00 | $6.00 | $0.2000 | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.8-27B
deepinfra/Qwen/Qwen3.8-27B
|
Deepinfra | $0.4000 | $3.00 | $0.0400 | — | 262,144 | text |
|
deepinfra/Qwen/Qwen3.8-Max
deepinfra/Qwen/Qwen3.8-Max
|
Deepinfra | $1.65 | $4.95 | $0.2060 | — | 256,000 | text |
|
deepinfra/Qwen/QwQ-32B
deepinfra/Qwen/QwQ-32B
|
Deepinfra | $0.1500 | $0.4000 | — | — | 131,072 | text |
|
deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo
deepinfra/Sao10K/L3-8B-Lunaris-v1-Turbo
|
Deepinfra | $0.0400 | $0.0500 | — | — | 8,192 | text |
|
deepinfra/Sao10K/L3.1-70B-Euryale-v2.2
deepinfra/Sao10K/L3.1-70B-Euryale-v2.2
|
Deepinfra | $0.8500 | $0.8500 | — | — | 131,072 | text |
|
deepinfra/Sao10K/L3.3-70B-Euryale-v2.3
deepinfra/Sao10K/L3.3-70B-Euryale-v2.3
|
Deepinfra | $0.6500 | $0.7500 | — | — | 131,072 | text |
|
deepinfra/stepfun-ai/Step-3.7-Flash
deepinfra/stepfun-ai/Step-3.7-Flash
|
Deepinfra | $0.2000 | $1.15 | $0.0400 | — | 262,144 | text |
|
deepinfra/tencent/Hy3
deepinfra/tencent/Hy3
|
Deepinfra | $0.1400 | $0.5800 | $0.0350 | — | 262,144 | text |
|
deepinfra/thinkingmachines/Inkling
deepinfra/thinkingmachines/Inkling
|
Deepinfra | $0.9500 | $4.05 | $0.1600 | — | 524,288 | text |
|
deepinfra/thinkingmachines/Inkling-Small
deepinfra/thinkingmachines/Inkling-Small
|
Deepinfra | $0.4500 | $1.20 | $0.1000 | — | 524,288 | text |
|
deepinfra/XiaomiMiMo/MiMo-V2.5
deepinfra/XiaomiMiMo/MiMo-V2.5
|
Deepinfra | $0.4000 | $2.00 | $0.0800 | — | 262,144 | text |
|
deepinfra/XiaomiMiMo/MiMo-V2.5-Pro
deepinfra/XiaomiMiMo/MiMo-V2.5-Pro
|
Deepinfra | $1.00 | $3.00 | $0.2000 | — | 1,048,576 | text |
|
deepinfra/zai-org/GLM-4.5
deepinfra/zai-org/GLM-4.5
|
Deepinfra | $0.4000 | $1.60 | — | — | 131,072 | text |
|
deepinfra/zai-org/GLM-4.6
deepinfra/zai-org/GLM-4.6
|
Deepinfra | $0.5000 | $2.00 | $0.1000 | — | 202,752 | text |
|
deepinfra/zai-org/GLM-4.7
deepinfra/zai-org/GLM-4.7
|
Deepinfra | $0.4000 | $1.75 | $0.0800 | — | 202,752 | text |
|
deepinfra/zai-org/GLM-4.7-Flash
deepinfra/zai-org/GLM-4.7-Flash
|
Deepinfra | $0.0600 | $0.4000 | $0.0100 | — | 202,752 | text |
|
deepinfra/zai-org/GLM-5
deepinfra/zai-org/GLM-5
|
Deepinfra | $0.6000 | $2.08 | $0.1200 | — | 202,752 | text |
|
deepinfra/zai-org/GLM-5.1
deepinfra/zai-org/GLM-5.1
|
Deepinfra | $1.05 | $3.50 | $0.2050 | — | 202,752 | text |
|
deepinfra/zai-org/GLM-5.2
deepinfra/zai-org/GLM-5.2
|
Deepinfra | $0.7500 | $2.40 | $0.1400 | — | 1,048,576 | text |
|
deepseek-chat
deepseek-chat
|
DeepSeek | $0.2800 | $0.4200 | $0.0280 | — | 131,072 | text |
|
deepseek-flash
deepseek-flash
|
DeepSeek | $0.3000 | $1.20 | $0.0060 | $0.0000 | 1,000,000 | text |
|
deepseek-reasoner
deepseek-reasoner
|
DeepSeek | $0.2800 | $0.4200 | $0.0280 | — | 131,072 | text |
|
deepseek-v4-flash
deepseek-v4-flash
|
DeepSeek | $0.3000 | $1.20 | $0.0060 | $0.0000 | 1,000,000 | text |
|
deepseek-v4-flash-vision-exp
deepseek-v4-flash-vision-exp
|
DeepSeek | $0.3000 | $1.20 | $0.0060 | $0.0000 | 1,000,000 | text |
|
deepseek-v4-pro
deepseek-v4-pro
|
DeepSeek | $1.32 | $3.96 | $0.0440 | $0.0000 | 1,000,000 | text |
|
deepseek/deepseek-chat
deepseek/deepseek-chat
|
DeepSeek | $0.2800 | $0.4200 | $0.0280 | $0.0000 | 131,072 | text |
|
deepseek/deepseek-coder
deepseek/deepseek-coder
|
DeepSeek | $0.1400 | $0.2800 | $0.0140 | — | 128,000 | text |
|
deepseek/deepseek-flash
deepseek/deepseek-flash
|
DeepSeek | $0.3000 | $1.20 | $0.0060 | $0.0000 | 1,000,000 | text |
|
deepseek/deepseek-r1
deepseek/deepseek-r1
|
DeepSeek | $0.5500 | $2.19 | $0.1400 | — | 65,536 | text |
|
deepseek/deepseek-reasoner
deepseek/deepseek-reasoner
|
DeepSeek | $0.2800 | $0.4200 | $0.0280 | — | 131,072 | text |
|
deepseek/deepseek-v3
deepseek/deepseek-v3
|
DeepSeek | $0.2700 | $1.10 | $0.0700 | $0.0000 | 65,536 | text |
|
deepseek/deepseek-v3.2
deepseek/deepseek-v3.2
|
DeepSeek | $0.2800 | $0.4000 | $0.0280 | — | 163,840 | text |
|
deepseek/deepseek-v4-flash
deepseek/deepseek-v4-flash
|
DeepSeek | $0.3000 | $1.20 | $0.0060 | $0.0000 | 1,000,000 | text |
|
deepseek/deepseek-v4-flash-vision-exp
deepseek/deepseek-v4-flash-vision-exp
|
DeepSeek | $0.3000 | $1.20 | $0.0060 | $0.0000 | 1,000,000 | text |
|
deepseek/deepseek-v4-pro
deepseek/deepseek-v4-pro
|
DeepSeek | $1.32 | $3.96 | $0.0440 | $0.0000 | 1,000,000 | text |
|
empiriolabs/aplomb-1
empiriolabs/aplomb-1
|
Empiriolabs | $0.0200 | $0.0000 | — | — | 1,000,000 | text |
|
empiriolabs/deepseek-v4-1-flash-1017
empiriolabs/deepseek-v4-1-flash-1017
|
Empiriolabs | $0.2000 | $0.8000 | $0.0200 | — | 1,000,000 | text |
|
empiriolabs/deepseek-v4-flash-0731
empiriolabs/deepseek-v4-flash-0731
|
Empiriolabs | $0.4240 | $1.27 | — | — | 1,000,000 | text |
|
empiriolabs/deepseek-v4-flash-0731:variant1
empiriolabs/deepseek-v4-flash-0731:variant1
|
Empiriolabs | $0.4400 | $1.32 | — | — | 1,000,000 | text |
|
empiriolabs/deepseek-v4-pro
empiriolabs/deepseek-v4-pro
|
Empiriolabs | $1.65 | $3.30 | — | — | 1,000,000 | text |
|
empiriolabs/deepseek-v4-pro-0813
empiriolabs/deepseek-v4-pro-0813
|
Empiriolabs | $1.32 | $3.96 | — | — | 1,000,000 | text |
|
empiriolabs/deepseek-v4-pro:variant1
empiriolabs/deepseek-v4-pro:variant1
|
Empiriolabs | $2.40 | $4.80 | — | — | 1,000,000 | text |
|
empiriolabs/deepseek-v4-pro:variant2
empiriolabs/deepseek-v4-pro:variant2
|
Empiriolabs | $1.65 | $3.30 | $0.1380 | — | 1,000,000 | text |
|
empiriolabs/deepseek-v4-pro:variant3
empiriolabs/deepseek-v4-pro:variant3
|
Empiriolabs | $2.40 | $4.80 | — | — | 1,000,000 | text |
|
empiriolabs/fugu-max
empiriolabs/fugu-max
|
Empiriolabs | $2.00 | $6.00 | $0.2500 | — | 1,000,000 | text |
|
empiriolabs/fugu-ultra-v1-0
empiriolabs/fugu-ultra-v1-0
|
Empiriolabs | $7.50 | $45.00 | $1.50 | — | 1,000,000 | text |
|
empiriolabs/fugu-ultra-v1-1
empiriolabs/fugu-ultra-v1-1
|
Empiriolabs | $5.00 | $30.00 | $0.5000 | — | 1,000,000 | text |
|
empiriolabs/fugu-ultra-v2-0
empiriolabs/fugu-ultra-v2-0
|
Empiriolabs | $5.00 | $30.00 | $0.5000 | — | 1,000,000 | text |
|
empiriolabs/gemma-4-26b-a4b
empiriolabs/gemma-4-26b-a4b
|
Empiriolabs | $0.0500 | $0.2900 | $0.0250 | — | 262,144 | text |
|
empiriolabs/glm-4-6v-flashx
empiriolabs/glm-4-6v-flashx
|
Empiriolabs | $0.0400 | $0.4000 | $0.0360 | — | 131,072 | text |
|
empiriolabs/glm-4-7-flashx
empiriolabs/glm-4-7-flashx
|
Empiriolabs | $0.0700 | $0.4000 | $0.0630 | — | 202,752 | text |
|
empiriolabs/glm-5-1
empiriolabs/glm-5-1
|
Empiriolabs | $0.8250 | $3.30 | $0.1650 | — | 202,745 | text |
|
empiriolabs/glm-5-2
empiriolabs/glm-5-2
|
Empiriolabs | $1.40 | $4.40 | — | — | 1,048,576 | text |
|
empiriolabs/glm-5-2:variant1
empiriolabs/glm-5-2:variant1
|
Empiriolabs | $1.10 | $3.85 | $0.2750 | — | 1,048,576 | text |
|
empiriolabs/glm-5-2:variant2
empiriolabs/glm-5-2:variant2
|
Empiriolabs | $1.40 | $4.40 | — | — | 1,048,576 | text |
|
empiriolabs/glm-5-3
empiriolabs/glm-5-3
|
Empiriolabs | $1.40 | $4.40 | — | — | 1,048,576 | text |
|
empiriolabs/glm-5-3-flash
empiriolabs/glm-5-3-flash
|
Empiriolabs | $0.0750 | $0.2500 | — | — | 1,048,576 | text |
|
empiriolabs/kimi-k2-6
empiriolabs/kimi-k2-6
|
Empiriolabs | $0.8939 | $3.71 | $0.1788 | — | 262,144 | text |
|
empiriolabs/kimi-k2-7-code
empiriolabs/kimi-k2-7-code
|
Empiriolabs | $0.9500 | $4.00 | — | — | 262,144 | text |
|
empiriolabs/kimi-k2-7-code-highspeed
empiriolabs/kimi-k2-7-code-highspeed
|
Empiriolabs | $1.90 | $8.00 | — | — | 262,144 | text |
|
empiriolabs/kimi-k2-7-code:variant1
empiriolabs/kimi-k2-7-code:variant1
|
Empiriolabs | $0.8939 | $3.71 | $0.1788 | — | 262,144 | text |
|
empiriolabs/kimi-k3
empiriolabs/kimi-k3
|
Empiriolabs | $3.00 | $15.00 | — | — | 1,048,576 | text |
|
empiriolabs/kimi-k3-1-pro
empiriolabs/kimi-k3-1-pro
|
Empiriolabs | $2.00 | $10.00 | $1.80 | — | 1,048,576 | text |
|
empiriolabs/mimo-v2-6-flash
empiriolabs/mimo-v2-6-flash
|
Empiriolabs | $0.1400 | $0.2800 | — | — | 1,048,576 | text |
|
empiriolabs/mimo-v2-6-pro
empiriolabs/mimo-v2-6-pro
|
Empiriolabs | $0.4350 | $0.8700 | — | — | 1,048,576 | text |
|
empiriolabs/mimo-v2-6-pro-ultraspeed
empiriolabs/mimo-v2-6-pro-ultraspeed
|
Empiriolabs | $4.35 | $8.70 | — | — | 1,048,576 | text |
|
empiriolabs/minimax-m2-7
empiriolabs/minimax-m2-7
|
Empiriolabs | $0.1500 | $0.6000 | $0.0300 | — | 204,800 | text |
|
empiriolabs/minimax-m2-7-highspeed
empiriolabs/minimax-m2-7-highspeed
|
Empiriolabs | $0.3000 | $1.20 | $0.0300 | — | 204,800 | text |
|
empiriolabs/minimax-m3
empiriolabs/minimax-m3
|
Empiriolabs | $0.2250 | $0.9000 | $0.0450 | — | 1,048,576 | text |
|
empiriolabs/minimax-m3-1-flash
empiriolabs/minimax-m3-1-flash
|
Empiriolabs | $0.1125 | $0.4500 | $0.0113 | — | 1,048,576 | text |
|
empiriolabs/minimax-m3:priority
empiriolabs/minimax-m3:priority
|
Empiriolabs | $0.3375 | $1.35 | $0.0675 | — | 1,048,458 | text |
|
empiriolabs/mistral-small-4
empiriolabs/mistral-small-4
|
Empiriolabs | $0.1500 | $0.6000 | — | — | 262,144 | text |
|
empiriolabs/muse-glimmer-30b
empiriolabs/muse-glimmer-30b
|
Empiriolabs | $0.2000 | $0.8000 | $0.0500 | — | 131,072 | text |
|
empiriolabs/muse-spark-1-1
empiriolabs/muse-spark-1-1
|
Empiriolabs | $1.25 | $4.25 | $1.00 | — | 1,048,576 | text |
|
empiriolabs/muse-spark-1-2
empiriolabs/muse-spark-1-2
|
Empiriolabs | $1.25 | $4.25 | $1.00 | — | 1,048,576 | text |
|
empiriolabs/muse-spark-1-3
empiriolabs/muse-spark-1-3
|
Empiriolabs | $1.25 | $4.25 | $1.00 | — | 1,048,576 | text |
|
empiriolabs/nova-lite-1-0
empiriolabs/nova-lite-1-0
|
Empiriolabs | $0.0690 | $0.2800 | $0.0386 | — | 317,379 | text |
|
empiriolabs/nova-lite-2
empiriolabs/nova-lite-2
|
Empiriolabs | $0.3800 | $3.16 | $0.2128 | — | 1,000,000 | text |
|
empiriolabs/nova-micro-1-0
empiriolabs/nova-micro-1-0
|
Empiriolabs | $0.0400 | $0.1600 | $0.0224 | — | 133,003 | text |
|
empiriolabs/nova-pro-1-0
empiriolabs/nova-pro-1-0
|
Empiriolabs | $2.40 | $9.60 | — | — | 317,319 | text |
|
empiriolabs/perplexity-advanced-deep-research
empiriolabs/perplexity-advanced-deep-research
|
Empiriolabs | $12.00 | $60.00 | — | — | — | text |
Prices are sourced from the open LiteLLM dataset and may lag provider changes. Always confirm against the provider's official pricing before relying on a figure.