Qwen3 32B
ModelOpen sourceActiveby Alibaba (Qwen) · family “qwen3b”
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for... (description from the OpenRouter listing)
in: textout: textReasoningTool useStructured output
Epoch Capabilities Index
138.5 #120 of 268
90% CI 134.7 – 140.5
Released
29 Apr 2025
Context window
131K tokens
Max output
16K tokens
Input $ / 1M tokens
$0.080
Output $ / 1M tokens
$0.28
Cached input $ / 1M
Unknown
Each benchmark shown separately with its own source
Benchmark results (7)
| Benchmark | Domain | Score | vs best recorded | Setting | Run | Source |
|---|---|---|---|---|---|---|
| LMCA | agents | 17.3% | 26% | — | — | External ↗ |
| DTBench | reasoning | 67.5% | 69% | — | — | External ↗ |
| Chess Puzzles | games | 5.0% ±2.2 | 7% | — | 28 Aug 2026 | Eval log ↗ |
| Fiction.LiveBench | long-context | 74.2% | 76% | — | — | External ↗ |
| Aider polyglot | coding | 40.0% | 45% | — | — | External ↗ |
| OTIS Mock AIME 2024-2025 | math | 66.9% ±6.0 | 67% | — | 30 Aug 2026 | Eval log ↗ |
| GPQA diamond | science | 65.7% ±2.8 | 69% | — | 28 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
13 observations (OpenRouter listing + Internet Archive snapshots). History accumulates with every ingest run; a single point means no change has been observed yet.
Events
- Benchmark30d agoEpoch AI evaluates Qwen3 32BEpoch AI Benchmarking Hub
- Benchmark32d agoEpoch AI evaluates Qwen3 32BEpoch AI Benchmarking Hub