Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,... (description from the OpenRouter listing)
| Benchmark | Domain | Score | vs best recorded | Setting | Run | Source |
|---|---|---|---|---|---|---|
| LMCA | agents | 8.8% | 13% | — | — | External ↗ |
| DTBench | reasoning | 59.7% | 61% | — | — | External ↗ |
| Chess Puzzles | games | 5.0% ±2.2 | 7% | — | 27 Aug 2026 | Eval log ↗ |
| Fiction.LiveBench | long-context | 62.1% | 64% | — | — | External ↗ |
| OTIS Mock AIME 2024-2025 | math | 56.1% ±6.5 | 56% | — | 27 Aug 2026 | Eval log ↗ |
| GPQA diamond | science | 56.8% ±2.9 | 59% | — | 27 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.
13 observations (OpenRouter listing + Internet Archive snapshots). History accumulates with every ingest run; a single point means no change has been observed yet.