Model comparison
Mistral Large vs Mistral Nemo
Mistral Large is the stronger model overall, scoring 31.9 to 26.4 on the Noometry Index. Mistral Nemo costs 20× less per token, which makes it the better buy when Mistral Large's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Mistral AISummary
- They share 6 benchmarks with published results for both. Mistral Large scores higher in 3 categories and Mistral Nemo in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Large leads 30.1 to 12.3.
- The biggest single-benchmark swing is MATH Level 5: 50.3% for Mistral Large and 10.8% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Large accepts more context: 131K tokens versus 128K.
Side by side
| Mistral Large | Mistral Nemo | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 31.9 | 26.4 |
| Released | 2024-02-26 | 2024-07-01 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 16K | 128K |
| Input $ / M tokens | $2 | $0.15 |
| Output $ / M tokens | $6 | $0.15 |
| Results tracked | 51 | 10 |
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Category by category
Coding Not comparable
Mistral Large: 34.3 (#240), Mistral Nemo: —
| Benchmark | Mistral Large | Mistral Nemo |
|---|---|---|
| SciCode | 36.2% | — |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1277 | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Mistral Large leads
Mistral Large: 28.6 (#89), Mistral Nemo: 23.5 (#125)
| Benchmark | Mistral Large | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | 27.6% |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
Mistral Large: 15.8 (#310), Mistral Nemo: 20.7 (#232)
| Benchmark | Mistral Large | Mistral Nemo |
|---|---|---|
| DTBench | 65.1% | 48.6% |
| Epoch Capabilities Index | 128.52 | 118.68 |
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
| PIQA | — | 83.5% |
Math Mistral Nemo leads
Mistral Large: 18.2 (#291), Mistral Nemo: 25.5 (#268)
| Benchmark | Mistral Large | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 50.3% | 10.8% |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
| GSM8K | — | 84.2% |
Knowledge Mistral Large leads
Mistral Large: 30.1 (#230), Mistral Nemo: 12.3 (#298)
| Benchmark | Mistral Large | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 51.3% | 29.9% |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
| BoolQ | — | 82.5% |
| MMLU | 80% | — |
Multilingual Not comparable
Mistral Large: 40.0 (#219), Mistral Nemo: —
| Benchmark | Mistral Large | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1237 | — |
| LMArena Chinese | 1240 | — |
| LMArena French | 1325 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Not comparable
Mistral Large: 67.9 (#191), Mistral Nemo: —
| Benchmark | Mistral Large | Mistral Nemo |
|---|---|---|
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
Mistral Large: 38.3 (#199), Mistral Nemo: —
| Benchmark | Mistral Large | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1261 | — |
Writing & Preference Mistral Large leads
Mistral Large: 40.7 (#242), Mistral Nemo: 28.5 (#296)
| Benchmark | Mistral Large | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 985 | 881 |
| LMArena Text | 1266 | — |
| LMArena Creative Writing | 1243 | — |
| Short-Story Creative Writing | 69% | — |
| WildBench | 80.1% | — |
| LMArena Multi-Turn | 1260 | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Mistral Nemo?
Mistral Large is the stronger model overall, scoring 31.9 to 26.4 on the Noometry Index. Mistral Nemo costs 20× less per token, which makes it the better buy when Mistral Large's lead doesn't matter for your workload.
Which is cheaper, Mistral Large or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Mistral Large lists at $2 and $6.
Which has the bigger context window?
Mistral Large does, with 131K tokens against 128K.
How many benchmarks do Mistral Large and Mistral Nemo share?
6 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Mistral Nemo has 10.