Qwen3.5-Flash
ModelActiveby Alibaba (Qwen) · family “qwen3-flash”
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the... (description from the OpenRouter listing)
in: textin: imagein: videoout: textReasoningTool useStructured output
Epoch Capabilities Index
Not scored by Epoch AI
Released
25 Feb 2026
Context window
1M tokens
Max output
66K tokens
Input $ / 1M tokens
$0.065
Output $ / 1M tokens
$0.26
Cached input $ / 1M
Unknown
Each benchmark shown separately with its own source
Benchmark results (10)
| Benchmark | Domain | Score | vs best recorded | Setting | Run | Source |
|---|---|---|---|---|---|---|
| LMCA | agents | 29.1% | 43% | — | — | External ↗ |
| DTBench | reasoning | 82.9% | 84% | — | — | External ↗ |
| Mystery Game Puzzles | games | 20.0% ±4.0 | 24% | — | 27 Aug 2026 | Epoch ↗ |
| FrontierMath-Tiers-1-3-v2-Private | math | 18.2% ±2.3 | 19% | none | 28 Aug 2026 | Eval log ↗ |
| Chess Puzzles | games | 21.0% ±4.1 | 29% | — | 7 Aug 2026 | Eval log ↗ |
| SimpleQA Verified | knowledge | 20.3% ±1.3 | 27% | — | 27 Aug 2026 | Eval log ↗ |
| FrontierMath-Tier-4-2025-07-01-Privatesuperseded | math | 0.0% | 0% | — | 12 May 2026 | Epoch ↗ |
| FrontierMath-2025-02-28-Privatesuperseded | math | 6.2% ±1.4 | 12% | — | 12 May 2026 | Epoch ↗ |
| OTIS Mock AIME 2024-2025 | math | 84.4% ±5.5 | 84% | — | 7 Aug 2026 | Eval log ↗ |
| GPQA diamond | science | 82.3% ±2.7 | 86% | — | 7 Aug 2026 | Eval log ↗ |
Source: Epoch AI Benchmarking Hub (CC BY 4.0). “External” rows are leaderboard results Epoch collects from third parties. Best reported setting per benchmark is shown.
API list price over time
Price history
$ per 1M tokens
8 recorded prices on 3 Mar 2026 (OpenRouter listing + Internet Archive snapshots); re-read on every data refresh, most recently 7h ago. Steps show when the price changed.
Events
- BenchmarkEpoch AI evaluates Qwen3.5-FlashEpoch AI Benchmarking Hub
- BenchmarkEpoch AI evaluates Qwen3.5-FlashEpoch AI Benchmarking Hub
- Model launchMajorQwen releases Qwen3.5-FlashOpenRouter models API