Model comparison
Llama 4 Maverick vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.9 on the Noometry Index. Llama 4 Maverick costs 9.9× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Meta
Mistral AISummary
- They share 20 benchmarks with published results for both. Llama 4 Maverick scores higher in 0 categories and Mistral Medium 3.5 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.5 leads 58.5 to 38.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 55.9% for Llama 4 Maverick and 41.4% for Mistral Medium 3.5.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 128K.
Side by side
| Llama 4 Maverick | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.9 | 40.2 |
| Released | 2025-04-05 | — |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 210K |
| Input $ / M tokens | $0.19 | $1.50 |
| Output $ / M tokens | $0.65 | $7.50 |
| Results tracked | 54 | 22 |
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Category by category
Coding Mistral Medium 3.5 leads
Llama 4 Maverick: 26.6 (#324), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1302 | 1461 |
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| LMArena WebDev | — | 1264 |
| SciCode | 33.1% | — |
| WeirdML | 24.5% | — |
| BigCodeBench Instruct | 49.7% | — |
| BigCodeBench Complete | 61.4% | — |
| ALE-Bench | 172.97 | — |
Agentic & Tool Use Not comparable
Llama 4 Maverick: 28.2 (#91), Mistral Medium 3.5: —
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |
Reasoning Mistral Medium 3.5 leads
Llama 4 Maverick: 10.1 (#342), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 55.9% | 41.4% |
| NYT Connections (extended) | 8% | 12.9% |
| LMArena Hard Prompts | 1281 | 1436 |
| Epoch Capabilities Index | 132.2 | 141.35 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| ARC-AGI-1 | 4.4% | — |
| CritPt | 0% | — |
| EnigmaEval | 0.6% | — |
| DTBench | 61.9% | — |
| LMCA | 15.9% | — |
| ForecastBench | 57.5 | — |
Math Mistral Medium 3.5 leads
Llama 4 Maverick: 26.0 (#262), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1299 | 1431 |
| OTIS Mock AIME 2024-2025 | 20.6% | — |
| Omni-MATH | 42.2% | — |
| MATH Level 5 | 73% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Mistral Medium 3.5 leads
Llama 4 Maverick: 33.4 (#204), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1259 | 1432 |
| GPQA Diamond | 67% | — |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
Multimodal Mistral Medium 3.5 leads
Llama 4 Maverick: 31.6 (#105), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1142 | 1223 |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |
Multilingual Mistral Medium 3.5 leads
Llama 4 Maverick: 42.2 (#195), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1269 | 1404 |
| LMArena Chinese | 1277 | 1442 |
| LMArena French | 1259 | 1448 |
| LMArena German | 1291 | 1451 |
| LMArena Korean | 1203 | 1385 |
| LMArena Russian | 1286 | 1395 |
| LMArena Spanish | 1293 | 1409 |
| LMArena Japanese | 1207 | — |
Instruction Following Mistral Medium 3.5 leads
Llama 4 Maverick: 71.7 (#146), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1267 | 1415 |
| IFEval | 90.8% | — |
Long Context Mistral Medium 3.5 leads
Llama 4 Maverick: 31.4 (#279), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1280 | 1415 |
| Fiction.LiveBench | 46.2% | — |
Writing & Preference Mistral Medium 3.5 leads
Llama 4 Maverick: 38.8 (#252), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1287 | 1421 |
| LMArena Creative Writing | 1267 | 1374 |
| LMArena Multi-Turn | 1289 | 1423 |
| Short-Story Creative Writing | 62% | — |
| EQ-Bench Creative Writing | 860 | — |
| WildBench | 80% | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Llama 4 Maverick better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.9 on the Noometry Index. Llama 4 Maverick costs 9.9× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Which is cheaper, Llama 4 Maverick or Mistral Medium 3.5?
Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is Llama 4 Maverick or Mistral Medium 3.5 better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 26.6 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium 3.5 does, with 262K tokens against 128K.
How many benchmarks do Llama 4 Maverick and Mistral Medium 3.5 share?
20 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Mistral Medium 3.5 has 22.