# Mistral Small vs Nova Premier 1.0

> Nova Premier 1.0 is the stronger model overall, scoring 38.3 to 33.4 on the Noometry Index. Mistral Small costs 19× 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-small-vs-nova-premier-1-0
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Mistral Small scores higher in 1 category and Nova Premier 1.0 in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Nova Premier 1.0 leads 33.8 to 16.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.8% for Mistral Small and 44.8% for Nova Premier 1.0.
- Mistral Small is cheaper at $0.15 / $0.60 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 262K.
- Mistral Small has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| Provider | Mistral AI | Amazon |
| Noometry Index | 33.4 | 38.3 |
| Rank | 243 | 189 |
| Context | 262K | 1M |
| Input $/M | $0.15 | $2.50 |
| Output $/M | $0.60 | $12.50 |
| Weights | Open | Proprietary |

## Coding

- Mistral Small: 34.0 (#247)
- Nova Premier 1.0: —

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| LMArena Coding | 1362 | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |

## Agentic & Tool Use

- Mistral Small: 28.1 (#93)
- Nova Premier 1.0: —

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |

## Reasoning

- Mistral Small: 19.8 (#250)
- Nova Premier 1.0: 23.0 (#185)

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 44.8% |
| CritPt | 0% | — |
| LiveBench Reasoning | 44.8% | — |
| LMArena Hard Prompts | 1335 | — |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| LiveBench | 44% | — |

## Math

- Mistral Small: 16.4 (#293)
- Nova Premier 1.0: 33.8 (#199)

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | — |
| Omni-MATH | — | 35% |
| LiveBench Math | 39.9% | — |
| LMArena Math | 1341 | — |
| MATH Level 5 | 46.8% | — |

## Knowledge

- Mistral Small: 31.0 (#222)
- Nova Premier 1.0: 35.8 (#180)

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| GPQA Diamond | 47.5% | — |
| MMLU-Pro | — | 72.6% |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | — | 51.8% |
| LMArena Expert | 1291 | — |
| MMLU | 68.7% | — |

## Multimodal

- Mistral Small: 33.5 (#96)
- Nova Premier 1.0: —

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| LMArena Vision | 1142 | — |

## Multilingual

- Mistral Small: 45.5 (#169)
- Nova Premier 1.0: —

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1315 | — |
| LMArena Chinese | 1340 | — |
| LMArena French | 1337 | — |
| LMArena German | 1340 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1346 | — |

## Instruction Following

- Mistral Small: 66.4 (#209)
- Nova Premier 1.0: 66.8 (#204)

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| LiveBench Instruction Following | 63.7% | — |
| IFEval | — | 80.3% |
| LMArena Instruction Following | 1310 | — |

## Long Context

- Mistral Small: 40.4 (#156)
- Nova Premier 1.0: —

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1327 | — |

## Writing & Preference

- Mistral Small: 52.5 (#171)
- Nova Premier 1.0: 51.0 (#178)

| Benchmark | Mistral Small | Nova Premier 1.0 |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1305 | — |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 30.5% | — |

## FAQ

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

Nova Premier 1.0 is the stronger model overall, scoring 38.3 to 33.4 on the Noometry Index. Mistral Small costs 19× 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 Small or Nova Premier 1.0?

Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 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 262K.

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

1 benchmark has published results for both models. Mistral Small has 39 scored results on Noometry and Nova Premier 1.0 has 6.