Compare / Qwen3-30B-A3B-Instruct-2507 vs Mistral Small 3.2 24B
Qwen3-30B-A3B-Instruct-2507 vs Mistral Small 3.2 24B
Which is cheaper, which is more capable, and which does better at each kind of work, from 24 results on 4 sources that measured both models.
Of the 24 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 9 October 2026 (catalogue release 2026-10-09-dd620e778ac5). See also Alibaba vs Mistral AI, every model from both labs.
Qwen3-30B-A3B-Instruct-2507 or Mistral Small 3.2 24B? The short answer
They score and cost about the same: pick on the results below that match your work.
- They cost about the same: $0.14 and $0.13 per million tokens (three input to one output).
- They score about the same on the Artificial Analysis Intelligence Index (7.5 and 8.2).
- Qwen3-30B-A3B-Instruct-2507 is newer: released 29 Jul 2025, against 20 Jun 2025 for Mistral Small 3.2 24B.
- On third-party benchmarks, on the results both models have: Qwen3-30B-A3B-Instruct-2507 does better for agents and tool use and reasoning and knowledge.
Head to head
Every fact side by side
| Qwen3-30B-A3B-Instruct-2507 | Mistral Small 3.2 24B | |
|---|---|---|
| Price per million tokens | $0.090 in · $0.30 out | $0.094 in · $0.25 out |
| Blended (3 in : 1 out) | $0.14 | $0.13 |
| Cheapest host, blended | $0.084 (StreamLake) | $0.11 (DeepInfra, FP8) |
| Intelligence Index | 7.5 | 8.2 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 262,144 tokens | 256,000 tokens |
| Released | 29 Jul 2025 (newer) | 20 Jun 2025 |
| Weights | Open | Open |
| 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.
From our research
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 Small 3.2 24B |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 162 · 182 of 387 measured | 1,383 | 1,356 |
| Business, management and finance · TextArena rating, higher is better 144 · 178 of 380 measured | 1,397 | 1,363 |
| Creative writing · TextArena rating, higher is better 186 · 182 of 385 measured | 1,319 | 1,324 |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 209 · 194 of 243 measured | 7.5 | 8.2 |
| GPQA Diamond% of questions, higher is better 172 · 201 of 231 measured | 65.9% | 50.5% |
| Humanity's Last Exam% of questions, higher is better 173 · 209 of 242 measured | 6.9% | 4.3% |
| Berkeley Function Calling Leaderboard (BFCL) V4 reported by Berkeley Function Calling Leaderboard (BFCL) V4 · 3 results | ||
| Overall accuracy · BFCL% correct, higher is better 32 · 38 of 81 measured | 41.4%bfcl fc | 37.2%bfcl fc |
| Irrelevance detection · BFCL% correct, higher is better 49 · 15 of 81 measured | 79.9%bfcl fc | 87.9%bfcl fc |
| Memory · BFCL% correct, higher is better 38 · 37 of 81 measured | 17.6%bfcl fc | 18.1%bfcl fc |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 163 · 122 of 230 measured | 27.9 | 36.3 |
| Requested-length error · UGI% off the requested word count, lower is better 57 · 83 of 230 measured | 13.0% | 17.0% |
| Style adherence · UGIscore from 0 to 1, higher is better 187 · 104 of 230 measured | 0.31 | 0.35 |
Show all 24 results (12 more)
| Measure | Qwen3-30B-A3B-Instruct-2507 | Mistral Small 3.2 24B |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Expert prompts · TextArena rating, higher is better 163 · 205 of 338 measured | 1,395 | 1,334 |
| Instruction following · TextArena rating, higher is better 164 · 192 of 387 measured | 1,367 | 1,338 |
| Writing, literature and language · TextArena rating, higher is better 176 · 192 of 386 measured | 1,342 | 1,329 |
| Artificial Analysis reported by Artificial Analysis · 4 results | ||
| IFBench% of instructions, higher is better 168 · 165 of 195 measured | 33.1% | 33.5% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 191 · 201 of 233 measured | 26.3% | 20.3% |
| Terminal-Bench Hard% of tasks, higher is better 147 · 140 of 190 measured | 6.1% | 6.8% |
| τ²-bench telecom% of tasks, higher is better 185 · 136 of 193 measured | 10.2% | 29.5% |
| Berkeley Function Calling Leaderboard (BFCL) V4 reported by Berkeley Function Calling Leaderboard (BFCL) V4 · 5 results | ||
| Multi-turn tasks · BFCL% correct, higher is better 34 · 45 of 81 measured | 30.0%bfcl fc | 14.8%bfcl prompt |
| Relevance detection · BFCL% correct, higher is better 8 · 8 of 81 measured | 93.8%bfcl prompt | 93.8%bfcl prompt |
| Single-turn calls (curated) · BFCL% correct, higher is better 9 · 4 of 81 measured | 88.9%bfcl prompt | 89.7%bfcl prompt |
| Single-turn calls (user-contributed) · BFCL% correct, higher is better 22 · 13 of 81 measured | 78.4%bfcl prompt | 79.1%bfcl prompt |
| Web search · BFCL% correct, higher is better 30 · 24 of 81 measured | 22.5%bfcl fc | 31.0%bfcl fc |
Compare them with other models
Quick answers
Is Qwen3-30B-A3B-Instruct-2507 better than Mistral Small 3.2 24B?
They score and cost about the same: pick on the results below that match your work.
Which is cheaper, Qwen3-30B-A3B-Instruct-2507 or Mistral Small 3.2 24B?
They cost about the same: $0.14 and $0.13 per million tokens (three input to one output).
Which is better for agents and tool use, Qwen3-30B-A3B-Instruct-2507 or Mistral Small 3.2 24B?
Qwen3-30B-A3B-Instruct-2507 ranks 75 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 119 for Mistral Small 3.2 24B.
Which is better for reasoning and knowledge, Qwen3-30B-A3B-Instruct-2507 or Mistral Small 3.2 24B?
Qwen3-30B-A3B-Instruct-2507 ranks 159 of 198 models on sale for hard questions across science, maths and general knowledge, against 166 for Mistral Small 3.2 24B.
Which is better for writing, Qwen3-30B-A3B-Instruct-2507 or Mistral Small 3.2 24B?
Mistral Small 3.2 24B ranks 132 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 140 for Qwen3-30B-A3B-Instruct-2507.
Which has the bigger context window, Qwen3-30B-A3B-Instruct-2507 or Mistral Small 3.2 24B?
Qwen3-30B-A3B-Instruct-2507: 262,144 tokens, against 256,000 for Mistral Small 3.2 24B.
Run Qwen3-30B-A3B-Instruct-2507 and Mistral Small 3.2 24B on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.