Compare / Qwen3-30B-A3B-Instruct-2507 vs Mistral Medium 3.1
Qwen3-30B-A3B-Instruct-2507 vs Mistral Medium 3.1
Which is cheaper, which is more capable, and which does better at each kind of work, from 16 results on 3 sources that measured both models.
Of the 16 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 14 October 2026 (catalogue release 2026-10-14-7d7cf32c3f6d). See also Alibaba vs Mistral AI, every model from both labs.
Qwen3-30B-A3B-Instruct-2507 or Mistral Medium 3.1? The short answer
They score about the same, so pick Qwen3-30B-A3B-Instruct-2507: it costs 5.6 times less per token.
- Qwen3-30B-A3B-Instruct-2507 is cheaper: $0.14 against $0.80 per million tokens, 5.6 times less.
- Mistral Medium 3.1 scores higher on the Artificial Analysis Intelligence Index: 9.2 against 7.5.
- Mistral Medium 3.1 is newer: released 12 Aug 2025, against 29 Jul 2025 for Qwen3-30B-A3B-Instruct-2507.
- On third-party benchmarks, on the results both models have: Qwen3-30B-A3B-Instruct-2507 does better for reasoning and knowledge; Mistral Medium 3.1 for writing.
Head to head
Every fact side by side
| Qwen3-30B-A3B-Instruct-2507 | Mistral Medium 3.1 | |
|---|---|---|
| Price per million tokens | $0.090 in · $0.30 out | $0.40 in · $2.00 out |
| Blended (3 in : 1 out) | $0.14 | $0.80 |
| Cheapest host, blended | $0.084 (StreamLake) | $0.80 (Mistral) |
| Intelligence Index | 7.5 | 9.2 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 262,144 tokens | 131,072 tokens |
| Released | 29 Jul 2025 | 12 Aug 2025 (newer) |
| Weights | Open | Closed |
| Developer based in | China | France |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.
Every shared result
Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.
| Measure | Qwen3-30B-A3B-Instruct-2507 | Mistral Medium 3.1 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 162 · 130 of 387 measured | 1,383 | 1,408 |
| Business, management and finance · TextArena rating, higher is better 144 · 129 of 380 measured | 1,397 | 1,407 |
| Creative writing · TextArena rating, higher is better 186 · 123 of 385 measured | 1,319 | 1,378 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 210 · 182 of 244 measured | 7.5 | 9.2 |
| GPQA Diamond% of questions, higher is better 172 · 184 of 231 measured | 65.9% | 58.8% |
| Humanity's Last Exam% of questions, higher is better 174 · 197 of 243 measured | 6.9% | 4.7% |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 163 · 114 of 230 measured | 27.9 | 39.5 |
| Requested-length error · UGI% off the requested word count, lower is better 57 · 156 of 230 measured | 13.0% | 27.0% |
| Style adherence · UGIscore from 0 to 1, higher is better 187 · 24 of 230 measured | 0.31 | 0.39 |
Show all 16 results (7 more)
| Measure | Qwen3-30B-A3B-Instruct-2507 | Mistral Medium 3.1 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Expert prompts · TextArena rating, higher is better 163 · 143 of 338 measured | 1,395 | 1,410 |
| Instruction following · TextArena rating, higher is better 164 · 133 of 387 measured | 1,367 | 1,395 |
| Writing, literature and language · TextArena rating, higher is better 176 · 128 of 386 measured | 1,342 | 1,386 |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 168 · 135 of 195 measured | 33.1% | 39.8% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 192 · 169 of 234 measured | 26.3% | 42.7% |
| Terminal-Bench Hard% of tasks, higher is better 147 · 127 of 190 measured | 6.1% | 10.6% |
| τ²-bench telecom% of tasks, higher is better 185 · 116 of 193 measured | 10.2% | 40.6% |
Compare them with other models
Quick answers
Is Qwen3-30B-A3B-Instruct-2507 better than Mistral Medium 3.1?
They score about the same, so pick Qwen3-30B-A3B-Instruct-2507: it costs 5.6 times less per token.
Which is cheaper, Qwen3-30B-A3B-Instruct-2507 or Mistral Medium 3.1?
Qwen3-30B-A3B-Instruct-2507 is cheaper: $0.14 against $0.80 per million tokens, 5.6 times less.
Which is better for agents and tool use, Qwen3-30B-A3B-Instruct-2507 or Mistral Medium 3.1?
Qwen3-30B-A3B-Instruct-2507 ranks 77 of 166 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 126 for Mistral Medium 3.1.
Which is better for reasoning and knowledge, Qwen3-30B-A3B-Instruct-2507 or Mistral Medium 3.1?
Qwen3-30B-A3B-Instruct-2507 ranks 161 of 200 models on sale for hard questions across science, maths and general knowledge, against 162 for Mistral Medium 3.1.
Which is better for writing, Qwen3-30B-A3B-Instruct-2507 or Mistral Medium 3.1?
Mistral Medium 3.1 ranks 113 of 189 models on sale for what people prefer in blind comparisons, and judged writing quality, against 141 for Qwen3-30B-A3B-Instruct-2507.
Which has the bigger context window, Qwen3-30B-A3B-Instruct-2507 or Mistral Medium 3.1?
Qwen3-30B-A3B-Instruct-2507: 262,144 tokens, against 131,072 for Mistral Medium 3.1.
Run Qwen3-30B-A3B-Instruct-2507 and Mistral Medium 3.1 on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.