# Grok 4.3 vs Mistral Small 3.1

> Grok 4.3 is the stronger model overall, scoring 43.6 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 3.9× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/grok-4-3-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Grok 4.3 scores higher in 8 categories and Mistral Small 3.1 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.3 leads 45.8 to 13.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.3% for Grok 4.3 and 3.9% for Mistral Small 3.1.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 43.6 | 31.4 |
| Rank | 80 | 263 |
| Context | 1M | 128K |
| Input $/M | $1.25 | $0.35 |
| Output $/M | $2.50 | $0.56 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.3: 41.3 (#117)
- Mistral Small 3.1: 37.7 (#175)

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1415 | 1309 |
| LMArena WebDev | 1357 | — |
| SciCode | 47.3% | — |
| WeirdML | 49.9% | — |
| ALE-Bench | 944.17 | — |

## Agentic & Tool Use

- Grok 4.3: 27.6 (#93)
- Mistral Small 3.1: —

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |

## Reasoning

- Grok 4.3: 34.9 (#60)
- Mistral Small 3.1: 18.9 (#249)

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 25% | 1% |
| LMArena Hard Prompts | 1397 | 1278 |
| Epoch Capabilities Index | 149.13 | 127.48 |
| NYT Connections (extended) | 55.2% | — |
| CritPt | 8% | — |
| DTBench | 90.7% | — |
| LMCA | 38.3% | — |
| ForecastBench | 60.3 | — |

## Math

- Grok 4.3: 45.8 (#60)
- Mistral Small 3.1: 13.7 (#295)

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.3% | 3.9% |
| LMArena Math | 1388 | 1261 |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| ProofBench | 11% | — |
| Omni-MATH | — | 24.8% |

## Knowledge

- Grok 4.3: 52.5 (#57)
- Mistral Small 3.1: 22.6 (#266)

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 88.8% | 41.9% |
| LMArena Expert | 1385 | 1258 |
| SimpleQA Verified | 33.2% | — |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |

## Multimodal

- Grok 4.3: 31.6 (#96)
- Mistral Small 3.1: 32.6 (#93)

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1231 | 1136 |
| Blueprint-Bench 2 | 0% | — |

## Multilingual

- Grok 4.3: 50.7 (#114)
- Mistral Small 3.1: 41.4 (#204)

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1385 | 1255 |
| LMArena Chinese | 1423 | 1254 |
| LMArena French | 1412 | 1270 |
| LMArena German | 1395 | 1266 |
| LMArena Japanese | 1379 | 1210 |
| LMArena Korean | 1357 | 1206 |
| LMArena Russian | 1399 | 1263 |
| LMArena Spanish | 1402 | 1283 |

## Instruction Following

- Grok 4.3: 72.3 (#135)
- Mistral Small 3.1: 63.8 (#225)

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1366 | 1264 |
| IFEval | — | 75% |

## Long Context

- Grok 4.3: 42.5 (#118)
- Mistral Small 3.1: 39.5 (#172)

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1393 | 1300 |

## Writing & Preference

- Grok 4.3: 58.6 (#112)
- Mistral Small 3.1: 37.2 (#254)

| Benchmark | Grok 4.3 | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1397 | 1278 |
| LMArena Creative Writing | 1380 | 1253 |
| LMArena Multi-Turn | 1406 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
| EQ-Bench 4 | 1075 | — |

## FAQ

### Is Grok 4.3 better than Mistral Small 3.1?

Grok 4.3 is the stronger model overall, scoring 43.6 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 3.9× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

### Which is cheaper, Grok 4.3 or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.

### Is Grok 4.3 or Mistral Small 3.1 better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.3 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 128K.

### How many benchmarks do Grok 4.3 and Mistral Small 3.1 share?

22 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Mistral Small 3.1 has 28.