Large Model API Pricing
Explore pricing for our model APIs. Find the right plan for your needs with transparent rates and flexible options.
Anthropic
Anthropic's Claude models provide advanced safe AI capabilities, focusing on helpful, harmless, and honest AI assistants with strong reasoning and conversational abilities.
| Model Name | Input Token Range | Context | Input(/Mt) | Cache Write(/Mt) | Cache Read(/Mt) | Output(/Mt) | Actions |
|---|---|---|---|---|---|---|---|
| claude-fable-5-1Official resource | - | 1M | $10 | $12.5(5m)·$20(1h) | $0.25 | $50 | |
| claude-fable-5Official resource | - | 1M | $10 | $12.5(5m)·$20(1h) | $1 | $50 | |
| claude-opus-4-7Official resource | - | 1M | $4.75$5 | $5.9375(5m)·$9.5(1h)$6.25(5m)·$10(1h) | $0.475$0.5 | $23.75$25 | |
| claude-opus-5Official resource | - | 1M | $5 | $6.25(5m)·$10(1h) | $0.5 | $25 | |
| claude-sonnet-5Official resource | - | 1M | $2 | $2.5(5m)·$4(1h) | $0.2 | $10 | |
| claude-opus-4-8Official resource | - | 1M | $4.75$5 | $5.9375(5m)·$9.5(1h)$6.25(5m)·$10(1h) | $0.475$0.5 | $23.75$25 | |
| claude-opus-4-8-rValue zone | - | 1M | $1$5 | $1.25(5m)·$2(1h)$6.25(5m)·$10(1h) | $0.1$0.5 | $5$25 | |
| claude-opus-4-7-rValue zone | - | 1M | $1$5 | $1.25(5m)·$2(1h)$6.25(5m)·$10(1h) | $0.1$0.5 | $5$25 | |
| claude-opus-4-6-ddValue zone | - | 1M | $2.75$5 | $3.4375(5m)·$5.5(1h)$6.25(5m)·$10(1h) | $0.275$0.5 | $13.75$25 | |
| claude-opus-4-6Official resource | 1-200K | 1M | $5 | $6.25(5m)·$10(1h) | $0.5 | $25 | |
| 200K-1M | 1M | $5 | $6.25(5m)·$10(1h) | $0.5 | $25 | ||
| claude-opus-4-6-rValue zone | - | 1M | $1$5 | $1.25(5m)·$2(1h)$6.25(5m)·$10(1h) | $0.1$0.5 | $5$25 | |
| claude-sonnet-4-6Official resource | 1-200K | 1M | $3 | $3.75(5m)·$6(1h) | $0.3 | $15 | |
| 200K-1M | 1M | $3 | $3.75(5m)·$6(1h) | $0.3 | $15 | ||
| claude-sonnet-4-6-ddValue zone | - | 1M | $1.65$3 | $2.0625(5m)·$3.3(1h)$3.75(5m)·$6(1h) | $0.165$0.3 | $8.25$15 | |
| claude-sonnet-4-6-rValue zone | - | 1M | $0.6$3 | $0.75(5m)·$1.2(1h)$3.75(5m)·$6(1h) | $0.06$0.3 | $3$15 | |
| claude-opus-4-5-20251101Official resource | - | 200K | $4.75$5 | $5.9375(5m)·$9.5(1h)$6.25(5m)·$10(1h) | $0.475$0.5 | $23.75$25 | |
| claude-opus-4-5-20251101-ddValue zone | - | 200K | $2.75$5 | $3.4375(5m)$6.25(5m) | $0.275$0.5 | $13.75$25 | |
| claude-sonnet-4-5-20250929Official resource | 1-200K | 200K | $3 | $3.75(5m)·$6(1h) | $0.3 | $15 | |
| 200K-1M | 200K | $6 | $7.5(5m)·$12(1h) | $0.6 | $22.5 | ||
| claude-sonnet-4-5-20250929-ddValue zone | - | 200K | $1.65$3 | $2.0625(5m)$3.75(5m) | $0.165$0.3 | $8.25$15 | |
| claude-haiku-4-5-20251001Official resource | - | 20K | $1 | $1.25(5m)·$2(1h) | $0.1 | $5 | |
| claude-haiku-4-5-20251001-ddValue zone | - | 200K | $0.55$1 | $0.6875(5m)·$1.1(1h)$1.25(5m)·$2(1h) | $0.055$0.1 | $2.75$5 | |
| claude-haiku-4-5-20251001-rValue zone | - | 200K | $0.2$1 | $0.25(5m)·$0.4(1h)$1.25(5m)·$2(1h) | $0.02$0.1 | $1$5 | |
| claude-opus-4-8-ccValue zone | - | 1M | $1.85$5 | $2.3125(5m)·$3.7(1h)$6.25(5m)·$10(1h) | $0.185$0.5 | $9.25$25 | |
| claude-opus-4-6-ccValue zone | - | 1M | $1.85$5 | $2.3125(5m)·$3.7(1h)$6.25(5m)·$10(1h) | $0.185$0.5 | $9.25$25 | |
| claude-opus-4-7-ccValue zone | - | 1M | $1.85$5 | $2.3125(5m)·$3.7(1h)$6.25(5m)·$10(1h) | $0.185$0.5 | $9.25$25 | |
| claude-sonnet-4-6-ccValue zone | - | 1M | $1.11$3 | $1.3875(5m)·$2.22(1h)$3.75(5m)·$6(1h) | $0.111$0.3 | $5.55$15 | |
| claude-haiku-4-5-20251001-ccValue zone | - | 200K | $0.37$1 | $0.4625(5m)·$0.74(1h)$1.25(5m)·$2(1h) | $0.037$0.1 | $1.85$5 |
OpenAI
OpenAI's GPT series provides state-of-the-art language understanding and generation, excels across many tasks, and leads the industry in AI models.
| Model Name | Input Token Range | Context | Input(/Mt) | Cache Write(/Mt) | Cache Read(/Mt) | Output(/Mt) | Actions |
|---|---|---|---|---|---|---|---|
| gpt-6-astraOfficial resource | 1-272K | 1.1M | $9.5$10 | $11.875(30m)$12.5(30m) | $0.95$1 | $47.5$50 | |
| 272K-1.1M | 1.1M | $19$20 | $23.75(30m)$25(30m) | $1.9$2 | $71.25$75 | ||
| gpt-5.6-terra-esValue zone | 1-272K | 3.7M | $0.2$2 | $0.25(30m)$2.5(30m) | $0.02$0.2 | $1.2$12 | |
| 272K-372K | 3.7M | $0.4$4 | $0.5(30m)$5(30m) | $0.04$0.4 | $1.8$18 | ||
| gpt-5.6-luna-esValue zone | 1-272K | 372K | $0.02$0.2 | $0.025(30m)$0.25(30m) | $0.002$0.02 | $0.12$1.2 | |
| 272K-372K | 372K | $0.04$0.4 | $0.05(30m)$0.5(30m) | $0.004$0.04 | $0.18$1.8 | ||
| gpt-5.6-sol-esValue zone | 1-272K | 372K | $0.4$4 | $0.5(30m)$5(30m) | $0.04$0.4 | $2$20 | |
| 272K-372K | 372K | $0.8$8 | $1(30m)$10(30m) | $0.08$0.8 | $3$30 | ||
| gpt-5.6-terraOfficial resource | 1-272K | 1.1M | $2 | $2.5(30m) | $0.2 | $12 | |
| 272K-1.1M | 1.1M | $4 | $5(30m) | $0.4 | $18 | ||
| gpt-5.6-lunaOfficial resource | 1-272K | 1.1M | $0.2 | $0.25(30m) | $0.02 | $1.2 | |
| 272K-1.1M | 1.1M | $0.4 | $0.5(30m) | $0.04 | $1.8 | ||
| gpt-5.6-solOfficial resource | 1-272K | 1.1M | $4 | $5(30m) | $0.4 | $20 | |
| 272K-1.1M | 1.1M | $8 | $10(30m) | $0.8 | $30 | ||
| gpt-5.5-rValue zone | - | 1.1M | $0.5$5 | - | $0.05$0.5 | $3$30 | |
| gpt-5.5Official resource | 1-272K | 1.1M | $4.75$5 | - | $0.475$0.5 | $28.5$30 | |
| 272K-1.1M | 1.1M | $9.5$10 | - | $0.95$1 | $42.75$45 | ||
| gpt-4.1-nanoOfficial resource | - | 1M | $0.095$0.1 | - | $0.0237$0.025 | $0.38$0.4 | |
| gpt-5.5-proOfficial resource | 1-272K | 1.1M | $30 | - | - | $180 | |
| 272K-1.1M | 1.1M | $60 | - | - | $270 | ||
| gpt-5.4-proOfficial resource | 1-272K | 1.1M | $30 | - | - | $180 | |
| 272K-1.1M | 1.1M | $60 | - | - | $270 | ||
| gpt-5.4Official resource | 1-272K | 1.1M | $2.5 | - | $0.25 | $15 | |
| 272K-1.1M | 1.1M | $5 | - | $0.5 | $22.5 | ||
| gpt-5.4-miniOfficial resource | - | 400K | $0.7125$0.75 | - | $0.0712$0.075 | $4.275$4.5 | |
| gpt-5.4-nanoOfficial resource | - | 400K | $0.19$0.2 | - | $0.019$0.02 | $1.1875$1.25 | |
| gpt-5.3-codexOfficial resource | - | 400K | $1.6625$1.75 | - | $0.1662$0.175 | $13.3$14 | |
| gpt-5.2-proOfficial resource | - | 400K | $19.95$21 | - | - | $159.6$168 | |
| gpt-5.2-codexOfficial resource | - | 400K | $1.75 | - | $0.175 | $14 | |
| gpt-5.2Official resource | - | 400K | $1.6625$1.75 | - | $0.1662$0.175 | $13.3$14 | |
| gpt-5.1-codex-maxOfficial resource | - | 400K | $1.1875$1.25 | - | $0.1187$0.125 | $9.5$10 | |
| gpt-5.1-codexOfficial resource | - | 400K | $1.1875$1.25 | - | $0.1187$0.125 | $9.5$10 | |
| gpt-5.1-codex-miniOfficial resource | - | 400K | $0.2375$0.25 | - | $0.0237$0.025 | $1.9$2 | |
| gpt-5.1Official resource | - | 400K | $1.1875$1.25 | - | $0.1187$0.125 | $9.5$10 | |
| gpt-5-proOfficial resource | - | 400K | $14.25$15 | - | - | $114$120 | |
| gpt-5-codexOfficial resource | - | 400K | $1.1875$1.25 | - | $0.1187$0.125 | $9.5$10 | |
| gpt-5Official resource | - | 400K | $1.1875$1.25 | - | $0.1187$0.125 | $9.5$10 | |
| gpt-5-miniOfficial resource | - | 400K | $0.2375$0.25 | - | $0.0237$0.025 | $1.9$2 | |
| gpt-5-nanoOfficial resource | - | 400K | $0.0475$0.05 | - | $0.0047$0.005 | $0.38$0.4 | |
| gpt-4.1Official resource | - | 1M | $2 | - | $0.5 | $8 | |
| gpt-4.1-miniOfficial resource | - | 1M | $0.4 | - | $0.1 | $1.6 | |
| gpt-4oOfficial resource | - | 131.1K | $2.375$2.5 | - | $1.1875$1.25 | $9.5$10 | |
| gpt-4o-miniOfficial resource | - | 128K | $0.1425$0.15 | - | $0.0712$0.075 | $0.57$0.6 | |
| OpenAI: GPT OSS 20B | - | 131.1K | $0.05 | - | - | $0.2 | |
| OpenAI GPT OSS 120B | - | 131.1K | $0.1 | - | - | $0.5 |
Gemini
Google's Gemini models provide high-quality language processing, excel across NLP tasks, and offer powerful multimodal capabilities.
| Model Name | Input Token Range | Context | Input(/Mt) | Cache Write(/Mt) | Cache Read(/Mt) | Output(/Mt) | Actions |
|---|---|---|---|---|---|---|---|
| gemini-3.1-flash-lite | - | 1M | $0.25 | $0.083(5m)·$1(1h) | $0.025 | $1.5 | |
| gemini-3.5-flashOfficial resource | - | 1M | $1.425$1.5 | $0.0788(5m)·$0.95(1h)$0.083(5m)·$1(1h) | $0.1425$0.15 | $8.55$9 | |
| gemini-3.1-pro-previewOfficial resource | 1-204.8K | 1M | $2 | $0.375(5m)·$4.5(1h) | $0.2 | $12 | |
| 204.8K-1M | 1M | $4 | $0.375(5m)·$4.5(1h) | $0.4 | $18 | ||
| gemini-3-flash-previewOfficial resource | - | 1M | $0.475$0.5 | $0.0788(5m)·$0.95(1h)$0.083(5m)·$1(1h) | $0.0475$0.05 | $2.85$3 | |
| gemini-2.5-proOfficial resource | - | 1M | $1.1875$1.25 | $0.3562(5m)·$4.275(1h)$0.375(5m)·$4.5(1h) | $0.1187$0.125 | $9.5$10 | |
| gemini-2.5-pro-preview-06-05Official resource | - | 1M | $1.1875$1.25 | $0.3562(5m)·$4.275(1h)$0.375(5m)·$4.5(1h) | $0.1187$0.125 | $9.5$10 | |
| gemini-2.5-flash-preview-05-20Official resource | - | 1M | $0.1425$0.15 | $0.0788(5m)·$0.95(1h)$0.083(5m)·$1(1h) | $0.0285$0.03 | $3.325$3.5 | |
| gemini-2.5-flash | - | 1M | $0.285$0.3 | $0.0788(5m)·$0.95(1h)$0.083(5m)·$1(1h) | $0.0285$0.03 | $2.375$2.5 | |
| gemini-2.5-flash-lite-preview-09-2025Official resource | - | 1M | $0.095$0.1 | $0.0788(5m)·$0.95(1h)$0.083(5m)·$1(1h) | $0.0095$0.01 | $0.38$0.4 | |
| gemini-2.5-flash-liteOfficial resource | - | 1M | $0.095$0.1 | $0.0788(5m)·$0.95(1h)$0.083(5m)·$1(1h) | $0.0095$0.01 | $0.38$0.4 | |
| Gemma 3 27B | - | 32.8K | $0.119 | - | - | $0.2 | |
| Gemma3 12B | - | 131.1K | $0.05 | - | - | $0.1 | |
| gemini-3.8-flash | - | 1M | $0.75 | $0.0417(5m)·$0.5(1h) | $0.075 | $3.75 | |
| gemini-3.7-flash | - | 1M | $0.75 | $0.0417(5m)·$0.5(1h) | $0.075 | $3.75 | |
| gemini-3.6-flashOfficial resource | - | 1M | $0.75 | $0.0417(5m)·$0.5(1h) | $0.075 | $3.75 | |
| gemini-3.5-flash-liteOfficial resource | - | 1M | $0.3 | $0.0833(5m)·$1(1h) | $0.03 | $2.5 |
Llama
Meta's Llama models provide state-of-the-art language understanding through an open architecture suited to diverse applications.
Qwen
Qwen models provide efficient language processing across a range of parameter sizes, from lightweight to enterprise solutions.
| Model Name | Input Token Range | Context | Input(/Mt) | Cache Read(/Mt) | Output(/Mt) | Actions |
|---|---|---|---|---|---|---|
| Qwen3.5-Plus | 1-256K | 1M | $0.4 | - | $2.4 | |
| 256K-1M | 1M | $1.2 | - | $7.2 | ||
| Qwen3.8 Flash | - | 1M | $0.15 | $0.016 | $0.47 | |
| Qwen3.8 27B | - | 1M | $0.42 | $0.085 | $3 | |
| Qwen3.8 2.4T A95B | - | 1M | $2 | $0.25 | $6 | |
| Qwen3 235B A22B Instruct 2507 | - | 131.1K | $0.15 | - | $0.8 | |
| Qwen 2.5 72B Instruct | - | 32K | $0.38 | - | $0.4 | |
| Qwen MT Plus | - | 4.1K | $0.25 | - | $0.75 | |
| Qwen2.5 7B Instruct | - | 32K | $0.07 | - | $0.07 | |
| Qwen2.5 VL 72B Instruct | - | 32.8K | $0.8 | - | $0.8 | |
| Qwen3 30B A3B | - | 41K | $0.09 | - | $0.45 | |
| Qwen3 32B | - | 41K | $0.1 | - | $0.45 | |
| Qwen3 235B A22B | - | 41K | $0.2 | - | $0.8 | |
| Qwen3 235B A22b Thinking 2507 | - | 131.1K | $0.3 | - | $3 | |
| Qwen3 Coder 480B A35B Instruct | - | 262.1K | $0.38 | - | $1.55 | |
| Qwen3 Coder Next FP8 | - | 262.1K | $0.2 | - | $1.5 | |
| Qwen3 Next 80B A3B Instruct | - | 65.5K | $0.15 | - | $1.5 | |
| Qwen3 Next 80B A3B Thinking | - | 65.5K | $0.15 | - | $1.5 | |
| Qwen3.5-27B | - | 262.1K | $0.3 | - | $2.4 | |
| Qwen3.8 Max | - | 1M | $2 | $0.25 | $6 | |
| Qwen3.5-122B-A10B | - | 262.1K | $0.4 | - | $3.2 | |
| Qwen3.5-35B-A3B | - | 262.1K | $0.25 | - | $2 | |
| Qwen3.5-397B-A17B | - | 262.1K | $0.6 | - | $3.6 |
Baidu
Baidu's ERNIE models provide advanced Chinese language understanding and multimodal capabilities, optimized for Chinese applications at competitive prices.
THUDM
GLM series models from Tsinghua University with advanced Chinese language understanding and generation capabilities.
| Model Name | Context | Input(/Mt) | Cache Read(/Mt) | Output(/Mt) | Actions |
|---|---|---|---|---|---|
| GLM 5.3 Flash | 1M | $0.15 | $0.03 | $0.5 | |
| GLM 5.3 | 1M | $1.4 | $0.26 | $4.4 | |
| GLM 5.2 | 1M | $1.4 | $0.26 | $4.4 | |
| GLM-5.1 | 204.8K | $1.38 | $0.26 | $4.4 | |
| GLM-5V-Turbo | 204.8K | $1.2 | $0.24 | $4 | |
| GLM 4.5V | 65.5K | $0.6 | - | $1.8 | |
| GLM-4.5 | 131.1K | $0.6 | - | $2.2 | |
| GLM-4.7 | 204.8K | $0.6 | - | $2.2 | |
| GLM-4.7-Flash | 200K | $0.07 | $0.01 | $0.4 | |
| GLM-5 | 204.8K | $1 | $0.2 | $3.2 | |
| GLM-5-Turbo | 202.8K | $1.2 | $0.24 | $4 |
Sao10K
Fine-tuned models optimized for creative and role-playing applications, with enhanced storytelling capabilities.
Deepseek
Advanced AI models from DeepSeek, offering cutting-edge reasoning capabilities and competitive pricing for enterprise and research applications.
| Model Name | Context | Input(/Mt) | Cache Write(/Mt) | Cache Read(/Mt) | Output(/Mt) | Actions |
|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash | 1M | $0.3 | - | $0.006 | $1.2 | |
| DeepSeek V4 Pro 0813 | 1M | $1.32 | - | $0.044 | $3.96 | |
| DeepSeek V4 Flash Vision Exp | 1M | $0.44 | - | $0.028 | $1.32 | |
| Deepseek V4 Flash 0731 | 1M | $0.44 | - | $0.028 | $1.32 | |
| Deepseek V4 Flash | 1M | $0.14 | - | $0.028 | $0.28 | |
| Deepseek V4 Pro | 1M | $1.6 | - | $0.135 | $3.2 | |
| DeepSeek R1 0528 | 163.8K | $0.7 | - | $0.35 | $2.5 | |
| DeepSeek V3 0324 | 163.8K | $0.28 | $0.14(5m) | $0.14 | $1.14 | |
| DeepSeek V3.1 | 163.8K | $0.27 | - | - | $1 | |
| DeepSeek-OCR 2 | 8.2K | $0.03 | - | - | $0.03 |
Mixture of Expert
An advanced collection of state-of-the-art AI models with advanced reasoning, mathematical proof capabilities, and cutting-edge language understanding across multiple domains.
| Model Name | Input Token Range | Context | Input(/Mt) | Cache Write(/Mt) | Cache Read(/Mt) | Output(/Mt) | Actions |
|---|---|---|---|---|---|---|---|
| Qwen3.5-Plus | 1-256K | 1M | $0.4 | - | - | $2.4 | |
| 256K-1M | 1M | $1.2 | - | - | $7.2 | ||
| DeepSeek V4.1 Flash | - | 1M | $0.3 | - | $0.006 | $1.2 | |
| GLM 5.3 Flash | - | 1M | $0.15 | - | $0.03 | $0.5 | |
| GLM 5.3 | - | 1M | $1.4 | - | $0.26 | $4.4 | |
| DeepSeek V4 Pro 0813 | - | 1M | $1.32 | - | $0.044 | $3.96 | |
| Qwen3.8 Flash | - | 1M | $0.15 | - | $0.016 | $0.47 | |
| DeepSeek V4 Flash Vision Exp | - | 1M | $0.44 | - | $0.028 | $1.32 | |
| Deepseek V4 Flash 0731 | - | 1M | $0.44 | - | $0.028 | $1.32 | |
| Qwen3.8 2.4T A95B | - | 1M | $2 | - | $0.25 | $6 | |
| GLM 5.2 | - | 1M | $1.4 | - | $0.26 | $4.4 | |
| Kimi K2.7 Code | - | 262.1K | $0.95 | - | $0.19 | $4 | |
| MiniMax M3 | 1-524.3K | 1M | $0.3 | - | $0.06 | $1.2 | |
| 524.3K-1M | 1M | $1.2 | - | $0.24 | $4.8 | ||
| Deepseek V4 Flash | - | 1M | $0.14 | - | $0.028 | $0.28 | |
| Deepseek V4 Pro | - | 1M | $1.6 | - | $0.135 | $3.2 | |
| MiniMax M2.7 | - | 204.8K | $0.3 | - | $0.03 | $1.2 | |
| Kimi K2.5 | - | 262.1K | $0.6 | - | $0.1 | $3 | |
| Kimi K2 Instruct | - | 131.1K | $0.57 | - | - | $2.3 | |
| GLM-5.1 | - | 204.8K | $1.38 | - | $0.26 | $4.4 | |
| GLM-5V-Turbo | - | 204.8K | $1.2 | - | $0.24 | $4 | |
| ERNIE 4.5 VL 424B A47B | - | 123K | $0.42 | - | - | $1.25 | |
| OpenAI: GPT OSS 20B | - | 131.1K | $0.05 | - | - | $0.2 | |
| OpenAI GPT OSS 120B | - | 131.1K | $0.1 | - | - | $0.5 | |
| DeepSeek R1 0528 | - | 163.8K | $0.7 | - | $0.35 | $2.5 | |
| DeepSeek V3 0324 | - | 163.8K | $0.28 | $0.14(5m) | $0.14 | $1.14 | |
| DeepSeek V3.1 | - | 163.8K | $0.27 | - | - | $1 | |
| ERNIE 4.5 300B A47B | - | 123K | $0.28 | - | - | $1.1 | |
| GLM 4.5V | - | 65.5K | $0.6 | - | - | $1.8 | |
| GLM-4.5 | - | 131.1K | $0.6 | - | - | $2.2 | |
| Kimi K2.6 | - | 262.1K | $0.8 | - | $0.16 | $3.4 | |
| GLM-4.7 | - | 204.8K | $0.6 | - | - | $2.2 | |
| GLM-4.7-Flash | - | 200K | $0.07 | - | $0.01 | $0.4 | |
| GLM-5 | - | 204.8K | $1 | - | $0.2 | $3.2 | |
| GLM-5-Turbo | - | 202.8K | $1.2 | - | $0.24 | $4 | |
| Llama 4 Maverick Instruct | - | 1M | $0.17 | - | - | $0.85 | |
| Llama 4 Scout Instruct | - | 131.1K | $0.1 | - | - | $0.5 | |
| MiniMax M1 | - | 1M | $0.55 | - | - | $2.2 | |
| Minimax M2.1 | - | 204.8K | $0.3 | $0.375(5m) | $0.03 | $1.2 | |
| MiniMax M2.5 | - | 204.8K | $0.3 | - | $0.03 | $1.2 | |
| MiniMax M2.7-highspeed | - | 204.8K | $0.6 | - | $0.06 | $2.4 | |
| MiniMax M2.5-highspeed | - | 204.8K | $0.6 | - | $0.03 | $2.4 | |
| Qwen3 30B A3B | - | 41K | $0.09 | - | - | $0.45 | |
| Qwen3 32B | - | 41K | $0.1 | - | - | $0.45 | |
| Qwen3 235B A22B | - | 41K | $0.2 | - | - | $0.8 | |
| Qwen3 235B A22b Thinking 2507 | - | 131.1K | $0.3 | - | - | $3 | |
| XiaomiMiMo/MiMo-V2-Pro | 1-262.1K | 1M | $1 | - | $0.2 | $3 | |
| 262.1K-1M | 1M | $2 | - | $0.4 | $6 | ||
| Qwen3.8 Max | - | 1M | $2 | - | $0.25 | $6 | |
| XiaomiMiMo/MiMo-V2.5-Pro | 1-262.1K | 1M | $1 | - | $0.2 | $3 | |
| 262.1K-1M | 1M | $2 | - | $0.4 | $6 | ||
| Qwen3.5-122B-A10B | - | 262.1K | $0.4 | - | - | $3.2 | |
| Qwen3.5-35B-A3B | - | 262.1K | $0.25 | - | - | $2 | |
| Qwen3.5-397B-A17B | - | 262.1K | $0.6 | - | - | $3.6 |