Compare UI-TARS 7B from bytedance and Qwen3 VL 235B A22B Instruct 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 VL 235B A22B Instruct 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 VL 235B A22B Instruct, from Qwen, has a 262,144-token context window and is priced at $0.20/M tokens input, $0.88/M tokens output on OpenRouter.
| Attribute | UI-TARS 7B | Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Input price | $0.10/M tokens | $0.20/M tokens |
| Output price | $0.20/M tokens | $0.88/M tokens |
| Context window | 128,000 tokens | 262,144 tokens |
| Intelligence Index | Not available | 9.9 |
| Coding Index | Not available | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 1.22 s | 2.08 s |
| Throughput (p50) | 41.0 tok/s | 10.0 tok/s |
Benchmark data updated
UI-TARS 7B is cheaper than Qwen3 VL 235B A22B Instruct on OpenRouter: UI-TARS 7B costs $0.10/M tokens input and $0.20/M tokens output, while Qwen3 VL 235B A22B Instruct costs $0.20/M tokens input and $0.88/M tokens output.
Qwen3 VL 235B A22B Instruct has the longer context window at 262,144 tokens, compared with 128,000 tokens for UI-TARS 7B .
UI-TARS 7B is faster on OpenRouter, generating a median 41.0 tokens per second compared with 10.0 tokens per second for Qwen3 VL 235B A22B Instruct.