Models · Compare
Qwen 3 32B Instruct vs Mistral Medium 3
Rows highlighted in warm gray are where the models differ. Numbers carry their as-of date and primary source.
Specs
| Field | A: Qwen 3 32B Instruct | B: Mistral Medium 3 |
|---|---|---|
| Released | 2025-04-28 | 2025-05-07 |
| Developer | Alibaba | Mistral AI |
| Openness | Open | Proprietary |
| License | Apache-2.0 | Proprietary |
| OSI-approved | yes | no |
| Data released | no | no |
| Training code | no | no |
| Architecture | dense | unknown |
| Total params | 32.8B | — |
| Active params | — | — |
| Experts | — | — |
| Context window | 131K | 128K |
| Attention | gqa | unknown |
| Position enc. | rope | unknown |
| Pretraining tokens | 36.0T | — |
| Post-training | sft, grpo, rlhf | sft, rlhf |
| Training hardware | — | — |
| $/M input | $0.15 | $0.40 |
| $/M output | $0.59 | $2.00 |
| Output tok/sec | 98.7 | 29 |
Benchmarks
Missing scores render as not reported; never inferred. Bold highlights the leader per benchmark.
General reasoning
| MMLU-Pro | 72.7 2026-05-21 | 76.0 2026-05-21 |
| GPQA-Diamond | 53.5 2026-05-21 | 57.8 2026-05-21 |
Code
| LiveCodeBench | 28.8 2026-05-21 | 40.0 2026-05-21 |
Math
| MATH | 86.9 2026-05-21 | 90.7 2026-05-21 |
| AIME 2024 | 30.3 2026-05-21 | 44.0 2026-05-21 |
| AIME 2025 | 19.7 2026-05-21 | 30.3 2026-05-21 |
Context · A
Dense 32B variant of the Qwen 3 release, shipped alongside the MoE 235B A22B flagship and a full size ladder from 0.6B to 32B dense. All sizes ship under Apache 2.0, with the same hybrid thinking-vs-fast inference toggle as the MoE.
Context · B
Mid-tier flagship released May 7 2025 at $0.40 / $2.00 per Mtok with a 128K context window. Mistral positioned it as roughly 90 percent of Claude Sonnet 3.7 performance at a fraction of the cost, with deployment supported on self-hosted setups starting at four GPUs.