Model comparison
Ministral 8B vs Qwen3.5-Flash
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 28.2 on the Noometry Index.
Last verified . 15 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 15 benchmarks with published results for both. Ministral 8B scores higher in 1 category and Qwen3.5-Flash in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-Flash leads 43.2 to 12.6.
- The biggest single-benchmark swing is GPQA Diamond: 27.1% for Ministral 8B and 82.3% for Qwen3.5-Flash.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.10 / $0.40 for Qwen3.5-Flash.
- Qwen3.5-Flash accepts more context: 1M tokens versus 262K.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| Ministral 8B | Qwen3.5-Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 28.2 | 42.5 |
| Released | 2024-10-01 | 2026-02-23 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.15 | $0.10 |
| Output $ / M tokens | $0.15 | $0.40 |
| Results tracked | 17 | 32 |
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Category by category
Coding Too close to call
Ministral 8B: 35.0 (#230), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | Ministral 8B | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1202 | 1412 |
| LMArena WebDev | — | 1244 |
| ALE-Bench | — | 221.8 |
Agentic & Tool Use Not comparable
Ministral 8B: 16.4 (#148), Qwen3.5-Flash: —
| Benchmark | Ministral 8B | Qwen3.5-Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 11.1% | — |
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Ministral 8B: 18.4 (#281), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | Ministral 8B | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1403 |
| DTBench | 45.7% | 82.9% |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 20% |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 143.98 |
Math Qwen3.5-Flash leads
Ministral 8B: 25.7 (#267), Qwen3.5-Flash: 37.4 (#158)
| Benchmark | Ministral 8B | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1188 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| MATH Level 5 | 14.9% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.5-Flash leads
Ministral 8B: 12.6 (#297), Qwen3.5-Flash: 43.2 (#93)
| Benchmark | Ministral 8B | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 27.1% | 82.3% |
| Vectara Hallucination Rate | 7.4% | 10.5% |
| LMArena Expert | 1170 | 1407 |
| SimpleQA Verified | — | 20.3% |
Multilingual Qwen3.5-Flash leads
Ministral 8B: 35.1 (#247), Qwen3.5-Flash: 50.5 (#121)
| Benchmark | Ministral 8B | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1165 | 1385 |
| LMArena Chinese | 1193 | 1446 |
| LMArena Russian | 1195 | 1379 |
| LMArena French | — | 1412 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1368 |
| LMArena Korean | — | 1344 |
| LMArena Spanish | — | 1400 |
Instruction Following Qwen3.5-Flash leads
Ministral 8B: 60.5 (#250), Qwen3.5-Flash: 72.6 (#139)
| Benchmark | Ministral 8B | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1161 | 1374 |
Long Context Qwen3.5-Flash leads
Ministral 8B: 36.7 (#227), Qwen3.5-Flash: 42.4 (#124)
| Benchmark | Ministral 8B | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1212 | 1392 |
Writing & Preference Qwen3.5-Flash leads
Ministral 8B: 39.6 (#246), Qwen3.5-Flash: 57.9 (#122)
| Benchmark | Ministral 8B | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1191 | 1397 |
| LMArena Creative Writing | 1175 | 1343 |
| LMArena Multi-Turn | 1166 | 1393 |
Frequently asked questions
Is Ministral 8B better than Qwen3.5-Flash?
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 28.2 on the Noometry Index.
Which is cheaper, Ministral 8B or Qwen3.5-Flash?
Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3.5-Flash lists at $0.10 and $0.40.
Is Ministral 8B or Qwen3.5-Flash better for coding?
They score almost the same on coding (35.0 vs 34.2); test both on your own repository before choosing.
Which has the bigger context window?
Qwen3.5-Flash does, with 1M tokens against 262K.
How many benchmarks do Ministral 8B and Qwen3.5-Flash share?
15 benchmarks have published results for both models. Ministral 8B has 17 scored results on Noometry and Qwen3.5-Flash has 32.