# Llama2 70b Steerlm Chat vs Mistral Large

> Llama2 70b Steerlm Chat and Mistral Large score almost the same on the Noometry Index (31.2 vs 31.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/llama2-70b-steerlm-chat-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 2 categories and Mistral Large in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Large leads 68.1 to 54.5.

## Snapshot

| | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| Provider | NVIDIA | Mistral AI |
| Noometry Index | 31.2 | 31.6 |
| Rank | 265 | 258 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Open | Open |

## Coding

- Llama2 70b Steerlm Chat: 29.3 (#295)
- Mistral Large: 33.8 (#240)

| Benchmark | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| LMArena Coding | 1025 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Llama2 70b Steerlm Chat: —
- Mistral Large: 28.4 (#83)

| Benchmark | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Llama2 70b Steerlm Chat: 19.1 (#245)
- Mistral Large: 15.4 (#305)

| Benchmark | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1257 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- Llama2 70b Steerlm Chat: 28.8 (#223)
- Mistral Large: 17.1 (#285)

| Benchmark | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| LMArena Math | 1072 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Llama2 70b Steerlm Chat: —
- Mistral Large: 30.0 (#224)

| Benchmark | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |

## Multilingual

- Llama2 70b Steerlm Chat: 28.9 (#265)
- Mistral Large: 40.1 (#214)

| Benchmark | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| LMArena Non-English | 1064 | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1324 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1187 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |

## Instruction Following

- Llama2 70b Steerlm Chat: 54.5 (#274)
- Mistral Large: 68.1 (#186)

| Benchmark | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1061 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Llama2 70b Steerlm Chat: 30.4 (#283)
- Mistral Large: 38.3 (#194)

| Benchmark | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| LMArena Longer Query | 998 | 1262 |

## Writing & Preference

- Llama2 70b Steerlm Chat: 31.8 (#278)
- Mistral Large: 40.9 (#237)

| Benchmark | Llama2 70b Steerlm Chat | Mistral Large |
|---|---|---|
| LMArena Text | 1098 | 1266 |
| LMArena Creative Writing | 1091 | 1243 |
| LMArena Multi-Turn | 1058 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Llama2 70b Steerlm Chat better than Mistral Large?

Llama2 70b Steerlm Chat and Mistral Large score almost the same on the Noometry Index (31.2 vs 31.6), so choose on price, context window or the category you care about most.

### Is Llama2 70b Steerlm Chat or Mistral Large better for coding?

Mistral Large scores higher on coding benchmarks: 33.8 versus 29.3 in the Noometry coding category.

### How many benchmarks do Llama2 70b Steerlm Chat and Mistral Large share?

9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Mistral Large has 51.