Trust
73 /100Price (list = 100%)
100%Models
97Prices
97Uptime
—About
The 0G Router is an AI model router/aggregator designed for the web3 region, specializing in aggregating and managing various machine-learning models.
AI-generated summary from public information — is this yours? Claim & edit
Trust 73/100 = coverage 80 ×35% + price 80 ×30% + reliability n/a ×25% + evidence 80 ×10%. Data completeness 75% — unmeasured components take a neutral prior, never invented. Price sample: n=83 comparable models vs official list.
24h token usage Self-reported
Total 6.75B · 2026-11-02 UTC · 113 models
| Model | 24h tokens |
|---|---|
| minimax-m3.1-flash | 2.93B |
| deepseek-v4.1-flash | 1.44B |
| glm-5.3 | 830M |
| claude-opus-5.5 | 799M |
| deepseek-v4-pro | 141M |
| deepseek-v4-flash | 120M |
| glm-5.3-flash | 97M |
| 0gm-1.0-35b-a3b | 85M |
| mimo-v2.6-pro | 76M |
| minimax-m3 | 52M |
| qwen3.7-flash | 43M |
| claude-sonnet-5 | 41M |
| glm-5.3-flashx | 24M |
| claude-opus-4-8 | 17M |
| claude-fable-5.1 | 9M |
| mimo-v2.6-flash | 8M |
| glm-5.2 | 7M |
| gemini-3.6-flash | 5M |
| 0gm-1.0-35b-a3b-sia | 4M |
| gemini-3.1-pro-preview | 3M |
| gpt-6-astra | 3M |
| gpt-6.1-sol | 3M |
| qwen3.8-max | 2M |
| qwen-plus | 2M |
| qwen3.5-plus | 2M |
| qwen3.8-flash | 2M |
| gpt-5.2 | 1M |
| gpt-5.6-luna | 946K |
| claude-opus-5 | 882K |
| gpt-5.6-sol | 855K |
| kimi-k3 | 703K |
| gemini-2.5-flash-lite | 585K |
| kimi-k2.7-code | 390K |
| glm-5 | 379K |
| gpt-5.5 | 372K |
| gpt-5.6-terra | 326K |
| qwen3-vl-plus | 109K |
| gpt-4.1-mini | 108K |
| gpt-5.4-mini | 100K |
| qwen3-embedding-8b | 44K |
| hy4-preview | 37K |
| qwen3.7-plus | 28K |
| hy3 | 17K |
| longcat-2.0 | 17K |
| step-5-preview | 17K |
| minimax-speech-2.8-hd | 17K |
| gemini-3.5-flash | 13K |
| deepseek-v4-flash-vision-exp | 12K |
| qwen3.5-397b-a17b | 11K |
| gemini-2.5-flash | 8K |
| minimax-m2.7 | 6K |
| glm-4.7 | 6K |
| ernie-5.1 | 5K |
| qwen3.6-27b | 5K |
| qwen3.6-35b-a3b | 4K |
| kimi-k2.6 | 4K |
| qwen3.7-max | 3K |
| qwen3.8-2.4t-a95b | 3K |
| qwen-flash-character | 2K |
| claude-sonnet-4.5 | 2K |
| whisper-large-v3 | 2K |
| qwen3.5-122b-a10b | 2K |
| qwen3.5-flash | 2K |
| qwen3.6-flash | 2K |
| qwen3.6-plus | 2K |
| kimi-k2.5 | 1K |
| qwen3.5-35b-a3b | 1K |
| bytedance/seedream-5.0-flash | 1K |
| glm-5.1 | 1K |
| minimax-m2.5 | 1K |
| qwen3.8-27b | 990 |
| gemini-2.5-pro | 968 |
| glm-4.5 | 937 |
| glm-5.2-fast-preview | 892 |
| minimax-speech-2.8-turbo | 826 |
| glm-4.5-air | 783 |
| glm-5-turbo | 778 |
| qwen2.5-vl-72b-instruct | 754 |
| mimo-v2.5-pro | 686 |
| qwen3.5-omni-flash | 616 |
| qwen3.5-27b | 595 |
| qwen3.5-omni-plus | 595 |
| gemini-3-flash-preview | 547 |
| qwen-flash | 537 |
| qwen3-coder-flash | 536 |
| gpt-5-nano | 511 |
| qwen3-omni-flash | 484 |
| qianfan-ocr | 476 |
| qwen-max | 468 |
| gpt-5-mini | 445 |
| laya | 369 |
| gemini-3.1-flash-lite | 359 |
| kimi-k2.7-code-highspeed | 266 |
| gpt-5.4 | 245 |
| claude-opus-4.7 | 232 |
| gpt-5.4-nano | 198 |
| claude-fable-5 | 189 |
| claude-sonnet-4.6 | 156 |
| claude-opus-4.6 | 151 |
| gpt-5.1 | 149 |
| gemini-3.5-flash-lite | 119 |
| gpt-4.1 | 104 |
| gpt-4.1-nano | 100 |
| qwen3.7-text-embedding | 70 |
| bytedance/seedream-4.5 | 67 |
| minimax-image-01 | 28 |
| tencent/hy-image-3.5-preview | 17 |
| tencent/hy-image-3.0 | 4 |
| bytedance/seedream-5.0-lite | 3 |
| qwen3-embedding-0.6b | 2 |
| bytedance/seedance-2.0 | 0 |
| bytedance/seedance-2.5 | 0 |
| minimax-h3 | 0 |
Self-reported by the router via the TKX usage standard — checked for freshness and internal consistency, not measured by TKX. Per-model token counts as provided by the source.