Model comparison
Amazon Nova Pro vs Mistral Large
Amazon Nova Pro and Mistral Large score almost the same on the Noometry Index (31.0 vs 31.9), so choose on price, context window or the category you care about most.
Last verified . 35 shared benchmarks.
Mistral AISummary
- They share 35 benchmarks with published results for both. Amazon Nova Pro scores higher in 4 categories and Mistral Large in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Mistral Large leads 28.6 to 16.7.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 25% for Amazon Nova Pro and 38.4% for Mistral Large.
- Amazon Nova Pro is cheaper at $0.80 / $3.20 per million input/output tokens, against $2 / $6 for Mistral Large.
- Amazon Nova Pro accepts more context: 300K tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Mistral Large | |
|---|---|---|
| Provider | Amazon | Mistral AI |
| Noometry Index | 31.0 | 31.9 |
| Released | 2024-12-03 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 300K | 131K |
| Max output | 10K | 16K |
| Input $ / M tokens | $0.80 | $2 |
| Output $ / M tokens | $3.20 | $6 |
| Results tracked | 38 | 51 |
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Category by category
Coding Too close to call
Amazon Nova Pro: 35.1 (#229), Mistral Large: 34.3 (#240)
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| LiveBench Coding | 38.1% | 47.1% |
| LMArena Coding | 1270 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Mistral Large leads
Amazon Nova Pro: 16.7 (#147), Mistral Large: 28.6 (#89)
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | 38.4% |
| TheAgentCompany | 1.7% | — |
Reasoning Amazon Nova Pro leads
Amazon Nova Pro: 20.0 (#243), Mistral Large: 15.8 (#310)
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| LiveBench Reasoning | 32.6% | 43.5% |
| LMArena Hard Prompts | 1246 | 1257 |
| LiveBench Data Analysis | 48.3% | 50.1% |
| Epoch Capabilities Index | 123.8 | 128.52 |
| LiveBench | 43.5% | 48.4% |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| DTBench | — | 65.1% |
| LMCA | — | 16.7% |
| ForecastBench | — | 57.1 |
Math Amazon Nova Pro leads
Amazon Nova Pro: 28.5 (#243), Mistral Large: 18.2 (#291)
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| Omni-MATH | 24.2% | 28.1% |
| LiveBench Math | 38% | 42.5% |
| LMArena Math | 1252 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Mistral Large leads
Amazon Nova Pro: 27.4 (#250), Mistral Large: 30.1 (#230)
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| MMLU-Pro | 67.3% | 59.9% |
| Confabulations | 30.1% | 21.4% |
| Vectara Hallucination Rate | 5.1% | 4.5% |
| GPQA (HELM) | 44.6% | 43.5% |
| LMArena Expert | 1211 | 1232 |
| MMLU | 82% | 80% |
| GPQA Diamond | — | 51.3% |
| Humanity's Last Exam | 4.4% | — |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), Mistral Large: —
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Too close to call
Amazon Nova Pro: 39.7 (#223), Mistral Large: 40.0 (#219)
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| LMArena Non-English | 1234 | 1237 |
| LMArena Chinese | 1244 | 1240 |
| LMArena French | 1271 | 1325 |
| LMArena German | 1243 | 1254 |
| LMArena Japanese | 1200 | 1188 |
| LMArena Korean | 1203 | 1202 |
| LMArena Russian | 1240 | 1257 |
| LMArena Spanish | 1182 | 1268 |
Instruction Following Mistral Large leads
Amazon Nova Pro: 64.9 (#226), Mistral Large: 67.9 (#191)
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | 67.1% | 67.9% |
| IFEval | 81.5% | 87.7% |
| LMArena Instruction Following | 1235 | 1249 |
Long Context Too close to call
Amazon Nova Pro: 38.1 (#205), Mistral Large: 38.3 (#199)
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1255 | 1261 |
Writing & Preference Amazon Nova Pro leads
Amazon Nova Pro: 43.9 (#226), Mistral Large: 40.7 (#242)
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| LMArena Text | 1259 | 1266 |
| LMArena Creative Writing | 1212 | 1243 |
| Short-Story Creative Writing | 60.5% | 69% |
| WildBench | 77.7% | 80.1% |
| LMArena Multi-Turn | 1246 | 1260 |
| LiveBench Language | 37% | 39.4% |
| EQ-Bench Creative Writing | — | 985 |
Frequently asked questions
Is Amazon Nova Pro better than Mistral Large?
Amazon Nova Pro and Mistral Large score almost the same on the Noometry Index (31.0 vs 31.9), so choose on price, context window or the category you care about most.
Which is cheaper, Amazon Nova Pro or Mistral Large?
Amazon Nova Pro is cheaper. It lists at $0.80 per million input tokens and $3.20 per million output tokens; Mistral Large lists at $2 and $6.
Is Amazon Nova Pro or Mistral Large better for coding?
They score almost the same on coding (35.1 vs 34.3); test both on your own repository before choosing.
Which has the bigger context window?
Amazon Nova Pro does, with 300K tokens against 131K.
How many benchmarks do Amazon Nova Pro and Mistral Large share?
35 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Mistral Large has 51.