Model comparison
Llama 4 Maverick vs Mistral Small 3.2
Llama 4 Maverick and Mistral Small 3.2 score almost the same on the Noometry Index (30.9 vs 31.2), so choose on price, context window or the category you care about most.
Last verified . 5 shared benchmarks.
Meta
Mistral AISummary
- They share 5 benchmarks with published results for both. Llama 4 Maverick scores higher in 1 category and Mistral Small 3.2 in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Mistral Small 3.2 leads 18.1 to 10.1.
- The biggest single-benchmark swing is GPQA Diamond: 67% for Llama 4 Maverick and 49.1% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.19 / $0.65 for Llama 4 Maverick.
- Mistral Small 3.2 accepts more context: 256K tokens versus 128K.
Side by side
| Llama 4 Maverick | Mistral Small 3.2 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.9 | 31.2 |
| Released | 2025-04-05 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 128K | 256K |
| Max output | 4K | 16K |
| Input $ / M tokens | $0.19 | $0.0938 |
| Output $ / M tokens | $0.65 | $0.25 |
| Results tracked | 54 | 6 |
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Category by category
Coding Not comparable
Llama 4 Maverick: 26.6 (#324), Mistral Small 3.2: —
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| SciCode | 33.1% | — |
| WeirdML | 24.5% | — |
| BigCodeBench Instruct | 49.7% | — |
| LMArena Coding | 1302 | — |
| BigCodeBench Complete | 61.4% | — |
| ALE-Bench | 172.97 | — |
Agentic & Tool Use Not comparable
Llama 4 Maverick: 28.2 (#91), Mistral Small 3.2: —
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |
Reasoning Mistral Small 3.2 leads
Llama 4 Maverick: 10.1 (#342), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | 55.9% | 40.4% |
| Epoch Capabilities Index | 132.2 | 131.74 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| NYT Connections (extended) | 8% | — |
| ARC-AGI-1 | 4.4% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 1% |
| EnigmaEval | 0.6% | — |
| LMArena Hard Prompts | 1281 | — |
| DTBench | 61.9% | — |
| LMCA | 15.9% | — |
| ForecastBench | 57.5 | — |
Math Too close to call
Llama 4 Maverick: 26.0 (#262), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 20.6% | 30.3% |
| Omni-MATH | 42.2% | — |
| LMArena Math | 1299 | — |
| MATH Level 5 | 73% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Llama 4 Maverick leads
Llama 4 Maverick: 33.4 (#204), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 67% | 49.1% |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
| LMArena Expert | 1259 | — |
Multimodal Not comparable
Llama 4 Maverick: 31.6 (#105), Mistral Small 3.2: —
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| LMArena Vision | 1142 | — |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |
Multilingual Not comparable
Llama 4 Maverick: 42.2 (#195), Mistral Small 3.2: —
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1269 | — |
| LMArena Chinese | 1277 | — |
| LMArena French | 1259 | — |
| LMArena German | 1291 | — |
| LMArena Japanese | 1207 | — |
| LMArena Korean | 1203 | — |
| LMArena Russian | 1286 | — |
| LMArena Spanish | 1293 | — |
Instruction Following Not comparable
Llama 4 Maverick: 71.7 (#146), Mistral Small 3.2: —
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| IFEval | 90.8% | — |
| LMArena Instruction Following | 1267 | — |
Long Context Not comparable
Llama 4 Maverick: 31.4 (#279), Mistral Small 3.2: —
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| Fiction.LiveBench | 46.2% | — |
| LMArena Longer Query | 1280 | — |
Writing & Preference Mistral Small 3.2 leads
Llama 4 Maverick: 38.8 (#252), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Llama 4 Maverick | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 860 | 1255 |
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1267 | — |
| Short-Story Creative Writing | 62% | — |
| WildBench | 80% | — |
| LMArena Multi-Turn | 1289 | — |
Frequently asked questions
Is Llama 4 Maverick better than Mistral Small 3.2?
Llama 4 Maverick and Mistral Small 3.2 score almost the same on the Noometry Index (30.9 vs 31.2), so choose on price, context window or the category you care about most.
Which is cheaper, Llama 4 Maverick or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Llama 4 Maverick lists at $0.19 and $0.65.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 128K.
How many benchmarks do Llama 4 Maverick and Mistral Small 3.2 share?
5 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Mistral Small 3.2 has 6.