# Qwen3.5-Flash

As of October 22, 2026, Qwen3.5-Flash ranks #71 of 123 models overall with 50.1 ±9.2 on the LLMBenchmark Index. Qwen3.5-Flash ranks #64 of 96 in coding, its strongest category. Qwen3.5-Flash costs $0.065 per million input tokens and $0.26 per million output tokens. Qwen3.5-Flash was released on February 25, 2026.

Page: https://llmbenchmark.ai/models/qwen3-5-flash-02-23
Data from October 22, 2026. Every figure below names the board it was read from and the day.

- Maker: Qwen
- Released: February 25, 2026
- Price per million input tokens: $0.065
- Price per million output tokens: $0.26
- Context window: 1M tokens
- Overall rank: 71 of 123, by the LLMBenchmark Index
- LLMBenchmark Index: 50.1 ±9.2 (90% margin, from 4 of 7 inputs)
- Vibe Coding Index: 41.1 (from 2 of 6 coding benchmarks)

Benchmark results (55 of 195):

- LMArena WebDev: 1244 Elo (source: LMArena WebDev, read October 22, 2026)
- GPQA Diamond: 82.8% (source: GPQA (Vals AI), read October 22, 2026)
- AIME: 92.5% (source: AIME (Vals AI), read October 22, 2026)
- MMLU Pro: 84.1% (source: MMLU Pro (Vals AI), read October 22, 2026)
- LiveCodeBench (Vals AI): 83.3% (source: Vals AI boards, read October 22, 2026)
- SWE-bench Verified (Vals AI): 64.4% (source: Vals AI boards, read October 22, 2026)
- MMMU Pro (Vals AI): 81.9% (source: Vals AI boards, read October 22, 2026)
- SAGE (Vals AI): 42.5% (source: Vals AI boards, read October 22, 2026)
- LegalBench (Vals AI): 84.3% (source: Vals AI boards, read October 22, 2026)
- CaseLaw (Vals AI): 56.0% (source: Vals AI boards, read October 22, 2026)
- CorpFin (Vals AI): 63.6% (source: Vals AI boards, read October 22, 2026)
- TaxEval (Vals AI): 72.2% (source: Vals AI boards, read October 22, 2026)
- MortgageTax (Vals AI): 67.4% (source: Vals AI boards, read October 22, 2026)
- MedCode (Vals AI): 33.0% (source: Vals AI boards, read October 22, 2026)
- MedScribe (Vals AI): 70.6% (source: Vals AI boards, read October 22, 2026)
- GPQA Diamond (Epoch AI run): 82.3% (source: Epoch AI benchmarking hub, read October 22, 2026)
- Chess puzzles: 14.0% (source: Epoch AI benchmarking hub, read October 22, 2026)
- Mystery game puzzles: 20.0% (source: Epoch AI benchmarking hub, read October 22, 2026)
- OTIS Mock AIME: 84.4% (source: Epoch AI benchmarking hub, read October 22, 2026)
- FrontierMath, tiers 1 to 3: 18.2% (source: Epoch AI benchmarking hub, read October 22, 2026)
- SimpleQA Verified: 20.3% (source: Epoch AI benchmarking hub, read October 22, 2026)
- DTBench: 82.9% (source: Epoch AI benchmarking hub, read October 22, 2026)
- LMCA: 29.1% (source: Epoch AI benchmarking hub, read October 22, 2026)
- ALE-Bench: 265.9 (source: ALE-Bench (Sakana AI), read October 22, 2026)
- Epoch Capabilities Index: 143.5 (source: Epoch AI benchmarking hub, read October 22, 2026)
- LMArena Text: 1397 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: coding: 1412 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: hard prompts: 1403 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: math: 1407 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: instruction following: 1374 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: creative writing: 1343 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: English: 1404 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: non-English: 1385 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Chinese: 1445 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: German: 1390 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Japanese: 1369 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Korean: 1344 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: French: 1413 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Spanish: 1400 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Russian: 1380 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: Polish: 1376 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: multi-turn: 1393 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: longer queries: 1392 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: expert: 1407 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: hard prompts in English: 1409 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: software and IT: 1416 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: mathematical work: 1413 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: science: 1415 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: medicine and healthcare: 1407 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: legal and government: 1398 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: business and finance: 1394 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: writing and language: 1369 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena Text: entertainment and media: 1347 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena WebDev: React: 1229 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)
- LMArena WebDev: HTML: 1291 Elo (source: LMArena (Hugging Face dataset), read October 22, 2026)