Qwen: Qwen3.5 Flash
Chatbailian/qwen3.5-flashQwen3.5-Flash is Alibaba's speed-optimized vision-language model in the Qwen3.5 series, using a hybrid linear-attention and sparse MoE design for high inference throughput. It shows significant improvements over Qwen3 Flash on both text and multimodal tasks. Context: 1M tokens, output: 64K. Available via OpenAI and Anthropic protocols.
Providers
/v1/chat/completions/v1/responsesCode Examples
from openai import OpenAIclient = OpenAI(base_url="https://api.ofox.io/v1",api_key="YOUR_OFOX_API_KEY",)response = client.chat.completions.create(model="bailian/qwen3.5-flash",messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)
Benchmarks
Qwen: Qwen3.5 Flash scores 1398 in the Overall category of the LMArena text leaderboard (style control), ranking #129 of 374 models based on 53,387 human preference votes (updated 2026-07-12).
| Category | Arena Score | 95% CI | Rank | Votes |
|---|---|---|---|---|
| Overall | 1398 | 1394–1402 | #129 of 374 | 53,387 |
| Hard Prompts | 1415 | 1411–1420 | #134 of 374 | 34,166 |
| Coding | 1437 | 1431–1443 | #134 of 369 | 15,155 |
| Math | 1404 | 1393–1416 | #117 of 362 | 2,952 |
| Creative Writing | 1339 | 1332–1347 | #155 of 372 | 8,270 |
| Instruction Following | 1382 | 1376–1388 | #137 of 374 | 16,970 |
| Chinese | 1451 | 1438–1463 | #101 of 344 | 2,528 |
Source: LMArena · CC BY 4.0 · Updated 2026-07-12 · Methodology ↗ · Ranks compare models within each category of the LMArena text leaderboard (style control). Scores come from third-party human preference evaluations, not from OFOX.