# Mistral Large vs Nova Premier 1.0

> Nova Premier 1.0 is the stronger model overall, scoring 38.3 to 31.9 on the Noometry Index. Mistral Large costs 1.7× less per token, which makes it the better buy when Nova Premier 1.0's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-large-vs-nova-premier-1-0
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. Mistral Large scores higher in 1 category and Nova Premier 1.0 in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Nova Premier 1.0 leads 33.8 to 18.2.
- The biggest single-benchmark swing is MMLU-Pro: 59.9% for Mistral Large and 72.6% for Nova Premier 1.0.
- Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
- Nova Premier 1.0 accepts more context: 1M tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| Provider | Mistral AI | Amazon |
| Noometry Index | 31.9 | 38.3 |
| Rank | 263 | 189 |
| Context | 131K | 1M |
| Input $/M | $2 | $2.50 |
| Output $/M | $6 | $12.50 |
| Weights | Open | Proprietary |

## Coding

- Mistral Large: 34.3 (#240)
- Nova Premier 1.0: —

| Benchmark | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| 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: 28.6 (#89)
- Nova Premier 1.0: —

| Benchmark | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |

## Reasoning

- Mistral Large: 15.8 (#310)
- Nova Premier 1.0: 23.0 (#185)

| Benchmark | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| SimpleBench | 22.5% | — |
| Kagi LLM Benchmark | — | 44.8% |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |

## Math

- Mistral Large: 18.2 (#291)
- Nova Premier 1.0: 33.8 (#199)

| Benchmark | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| Omni-MATH | 28.1% | 35% |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Mistral Large: 30.1 (#230)
- Nova Premier 1.0: 35.8 (#180)

| Benchmark | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| MMLU-Pro | 59.9% | 72.6% |
| GPQA (HELM) | 43.5% | 51.8% |
| GPQA Diamond | 51.3% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| LMArena Expert | 1232 | — |
| MMLU | 80% | — |

## Multilingual

- Mistral Large: 40.0 (#219)
- Nova Premier 1.0: —

| Benchmark | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| 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

- Mistral Large: 67.9 (#191)
- Nova Premier 1.0: 66.8 (#204)

| Benchmark | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| IFEval | 87.7% | 80.3% |
| LiveBench Instruction Following | 67.9% | — |
| LMArena Instruction Following | 1249 | — |

## Long Context

- Mistral Large: 38.3 (#199)
- Nova Premier 1.0: —

| Benchmark | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1261 | — |

## Writing & Preference

- Mistral Large: 40.7 (#242)
- Nova Premier 1.0: 51.0 (#178)

| Benchmark | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| WildBench | 80.1% | 78.8% |
| LMArena Text | 1266 | — |
| LMArena Creative Writing | 1243 | — |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| LMArena Multi-Turn | 1260 | — |
| LiveBench Language | 39.4% | — |

## FAQ

### Is Mistral Large better than Nova Premier 1.0?

Nova Premier 1.0 is the stronger model overall, scoring 38.3 to 31.9 on the Noometry Index. Mistral Large costs 1.7× less per token, which makes it the better buy when Nova Premier 1.0's lead doesn't matter for your workload.

### Which is cheaper, Mistral Large or Nova Premier 1.0?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.

### Which has the bigger context window?

Nova Premier 1.0 does, with 1M tokens against 131K.

### How many benchmarks do Mistral Large and Nova Premier 1.0 share?

5 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Nova Premier 1.0 has 6.