Model comparison
Llama 4 Maverick vs Mistral Nemo
Llama 4 Maverick is the stronger model overall, scoring 30.9 to 26.4 on the Noometry Index. Mistral Nemo costs 2.0× less per token, which makes it the better buy when Llama 4 Maverick's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Meta
Mistral AISummary
- They share 6 benchmarks with published results for both. Llama 4 Maverick scores higher in 4 categories and Mistral Nemo in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 4 Maverick leads 33.4 to 12.3.
- The biggest single-benchmark swing is MATH Level 5: 73% for Llama 4 Maverick and 10.8% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.19 / $0.65 for Llama 4 Maverick.
Side by side
| Llama 4 Maverick | Mistral Nemo | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.9 | 26.4 |
| Released | 2025-04-05 | 2024-07-01 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 4K | 128K |
| Input $ / M tokens | $0.19 | $0.15 |
| Output $ / M tokens | $0.65 | $0.15 |
| Results tracked | 54 | 10 |
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Category by category
Coding Not comparable
Llama 4 Maverick: 26.6 (#324), Mistral Nemo: —
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| 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 Llama 4 Maverick leads
Llama 4 Maverick: 28.2 (#91), Mistral Nemo: 23.5 (#125)
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | 27.6% |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
Llama 4 Maverick: 10.1 (#342), Mistral Nemo: 20.7 (#232)
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| DTBench | 61.9% | 48.6% |
| Epoch Capabilities Index | 132.2 | 118.68 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| Kagi LLM Benchmark | 55.9% | — |
| NYT Connections (extended) | 8% | — |
| ARC-AGI-1 | 4.4% | — |
| CritPt | 0% | — |
| EnigmaEval | 0.6% | — |
| LMArena Hard Prompts | 1281 | — |
| LMCA | 15.9% | — |
| ForecastBench | 57.5 | — |
| PIQA | — | 83.5% |
Math Too close to call
Llama 4 Maverick: 26.0 (#262), Mistral Nemo: 25.5 (#268)
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 73% | 10.8% |
| OTIS Mock AIME 2024-2025 | 20.6% | — |
| Omni-MATH | 42.2% | — |
| LMArena Math | 1299 | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
| GSM8K | — | 84.2% |
Knowledge Llama 4 Maverick leads
Llama 4 Maverick: 33.4 (#204), Mistral Nemo: 12.3 (#298)
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 67% | 29.9% |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
| LMArena Expert | 1259 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
Llama 4 Maverick: 31.6 (#105), Mistral Nemo: —
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1142 | — |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |
Multilingual Not comparable
Llama 4 Maverick: 42.2 (#195), Mistral Nemo: —
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| 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 Nemo: —
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| IFEval | 90.8% | — |
| LMArena Instruction Following | 1267 | — |
Long Context Not comparable
Llama 4 Maverick: 31.4 (#279), Mistral Nemo: —
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| Fiction.LiveBench | 46.2% | — |
| LMArena Longer Query | 1280 | — |
Writing & Preference Llama 4 Maverick leads
Llama 4 Maverick: 38.8 (#252), Mistral Nemo: 28.5 (#296)
| Benchmark | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 860 | 881 |
| 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 Nemo?
Llama 4 Maverick is the stronger model overall, scoring 30.9 to 26.4 on the Noometry Index. Mistral Nemo costs 2.0× less per token, which makes it the better buy when Llama 4 Maverick's lead doesn't matter for your workload.
Which is cheaper, Llama 4 Maverick or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Llama 4 Maverick lists at $0.19 and $0.65.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Llama 4 Maverick and Mistral Nemo share?
6 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Mistral Nemo has 10.