Compare UI-TARS 7B from bytedance and Qwen3.7 Max from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


UI-TARS 7B and Qwen3.7 Max are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
UI-TARS 7B , from bytedance, has a 128,000-token context window and is priced at $0.10/M tokens input, $0.20/M tokens output on OpenRouter.
Qwen3.7 Max, from Qwen, has a 1,000,000-token context window and is priced at $1.475/M tokens input, $4.425/M tokens output on OpenRouter.
| Attribute | UI-TARS 7B | Qwen3.7 Max |
|---|---|---|
| Input price | $0.10/M tokens | $1.475/M tokens |
| Output price | $0.20/M tokens | $4.425/M tokens |
| Context window | 128,000 tokens | 1,000,000 tokens |
| Intelligence Index | Not available | 29.5 |
| Coding Index | Not available | 66.0 |
| Agentic Index | Not available | 22.5 |
| Latency (p50) | 0.75 s | 1.17 s |
| Throughput (p50) | 50.0 tok/s | 68.0 tok/s |
Benchmark data updated
UI-TARS 7B is cheaper than Qwen3.7 Max on OpenRouter: UI-TARS 7B costs $0.10/M tokens input and $0.20/M tokens output, while Qwen3.7 Max costs $1.475/M tokens input and $4.425/M tokens output.
Qwen3.7 Max has the longer context window at 1,000,000 tokens, compared with 128,000 tokens for UI-TARS 7B .
Qwen3.7 Max is faster on OpenRouter, generating a median 68.0 tokens per second compared with 50.0 tokens per second for UI-TARS 7B .