# Llama-3.3-70B-Instruct vs Mistral Small 3

> Llama-3.3-70B-Instruct and Mistral Small 3 score almost the same on the Noometry Index (30.3 vs 30.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/llama-3-3-70b-instruct-vs-mistral-small-3
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 4 categories and Mistral Small 3 in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama-3.3-70B-Instruct leads 47.8 to 32.4.
- The biggest single-benchmark swing is BigCodeBench Complete: 57.5% for Llama-3.3-70B-Instruct and 50.4% for Mistral Small 3.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.10 / $0.32 for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct accepts more context: 128K tokens versus 33K.

## Snapshot

| | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.3 | 30.9 |
| Rank | 283 | 268 |
| Context | 128K | 33K |
| Input $/M | $0.10 | $0.05 |
| Output $/M | $0.32 | $0.08 |
| Weights | Open | Open |

## Coding

- Llama-3.3-70B-Instruct: 30.6 (#284)
- Mistral Small 3: 36.0 (#203)

| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| BigCodeBench Instruct | 46.9% | 45.3% |
| LMArena Coding | 1268 | 1246 |
| BigCodeBench Complete | 57.5% | 50.4% |
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| LiveBench Coding | 36.6% | — |

## Agentic & Tool Use

- Llama-3.3-70B-Instruct: 25.6 (#100)
- Mistral Small 3: —

| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |

## Reasoning

- Llama-3.3-70B-Instruct: 13.7 (#325)
- Mistral Small 3: 18.2 (#269)

| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1233 |
| Epoch Capabilities Index | 127.32 | 127.06 |
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 50.8% | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |

## Math

- Llama-3.3-70B-Instruct: 14.3 (#292)
- Mistral Small 3: 15.3 (#290)

| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.1% | 6.7% |
| LMArena Math | 1268 | 1240 |
| LiveBench Math | 42.2% | — |
| MATH Level 5 | 41.6% | — |

## Knowledge

- Llama-3.3-70B-Instruct: 30.5 (#220)
- Mistral Small 3: 25.0 (#258)

| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| GPQA Diamond | 47.4% | 47.3% |
| Confabulations | 22.8% | 25.2% |
| LMArena Expert | 1225 | 1202 |
| Vectara Hallucination Rate | 4.1% | — |
| MMLU | 86.3% | — |

## Multilingual

- Llama-3.3-70B-Instruct: 40.1 (#215)
- Mistral Small 3: 37.5 (#231)

| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1236 | 1198 |
| LMArena Chinese | 1217 | 1204 |
| LMArena French | 1280 | 1202 |
| LMArena German | 1251 | 1211 |
| LMArena Japanese | 1149 | 1111 |
| LMArena Korean | 1142 | 1188 |
| LMArena Russian | 1252 | 1216 |
| LMArena Spanish | 1269 | — |

## Instruction Following

- Llama-3.3-70B-Instruct: 71.3 (#152)
- Mistral Small 3: 63.9 (#224)

| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1242 | 1214 |
| LiveBench Instruction Following | 82.7% | — |

## Long Context

- Llama-3.3-70B-Instruct: 26.4 (#290)
- Mistral Small 3: 37.8 (#206)

| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1256 | 1246 |
| Fiction.LiveBench | 33.3% | — |

## Writing & Preference

- Llama-3.3-70B-Instruct: 47.8 (#203)
- Mistral Small 3: 32.4 (#275)

| Benchmark | Llama-3.3-70B-Instruct | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1274 | 1234 |
| LMArena Creative Writing | 1250 | 1195 |
| LMArena Multi-Turn | 1279 | 1217 |
| EQ-Bench Creative Writing | — | 707 |
| LiveBench Language | 39.2% | — |

## FAQ

### Is Llama-3.3-70B-Instruct better than Mistral Small 3?

Llama-3.3-70B-Instruct and Mistral Small 3 score almost the same on the Noometry Index (30.3 vs 30.9), so choose on price, context window or the category you care about most.

### Which is cheaper, Llama-3.3-70B-Instruct or Mistral Small 3?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Llama-3.3-70B-Instruct lists at $0.10 and $0.32.

### Is Llama-3.3-70B-Instruct or Mistral Small 3 better for coding?

Mistral Small 3 scores higher on coding benchmarks: 36.0 versus 30.6 in the Noometry coding category.

### Which has the bigger context window?

Llama-3.3-70B-Instruct does, with 128K tokens against 33K.

### How many benchmarks do Llama-3.3-70B-Instruct and Mistral Small 3 share?

22 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Mistral Small 3 has 24.