# Devstral Small 2505 vs Llama 3.1-70B

> Devstral Small 2505 is the stronger model overall, scoring 33.9 to 29.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/devstral-small-vs-llama-3-1-70b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where Devstral Small 2505 leads 38.6 to 29.8.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.40 / $0.40 for Llama 3.1-70B.

## Snapshot

| | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 33.9 | 29.4 |
| Rank | 228 | 299 |
| Context | 128K | 128K |
| Input $/M | $0.10 | $0.40 |
| Output $/M | $0.30 | $0.40 |
| Weights | Open | Open |

## Coding

- Devstral Small 2505: 38.6 (#160)
- Llama 3.1-70B: 29.8 (#292)

| Benchmark | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| WeirdML | — | 9% |
| BigCodeBench Instruct | — | 46.1% |
| LMArena Coding | — | 1260 |
| BigCodeBench Complete | — | 54.8% |

## Agentic & Tool Use

- Devstral Small 2505: —
- Llama 3.1-70B: 24.9 (#104)

| Benchmark | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| TheAgentCompany | — | 6.9% |
| BALROG | — | 27.9% |

## Reasoning

- Devstral Small 2505: 19.1 (#243)
- Llama 3.1-70B: 20.8 (#215)

| Benchmark | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |
| LMArena Hard Prompts | — | 1241 |
| DTBench | — | 60% |
| LMCA | — | 14.8% |
| Epoch Capabilities Index | — | 125.91 |

## Math

- Devstral Small 2505: —
- Llama 3.1-70B: 12.7 (#298)

| Benchmark | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 3.6% |
| Omni-MATH | — | 21% |
| LMArena Math | — | 1252 |
| MATH Level 5 | — | 36.7% |

## Knowledge

- Devstral Small 2505: —
- Llama 3.1-70B: 24.1 (#264)

| Benchmark | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| GPQA Diamond | — | 44.2% |
| MMLU-Pro | — | 65.3% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1209 |
| MMLU | — | 80.1% |

## Multilingual

- Devstral Small 2505: —
- Llama 3.1-70B: 38.9 (#220)

| Benchmark | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | — | 1219 |
| LMArena Chinese | — | 1215 |
| LMArena French | — | 1260 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1132 |
| LMArena Korean | — | 1140 |
| LMArena Russian | — | 1234 |
| LMArena Spanish | — | 1253 |

## Instruction Following

- Devstral Small 2505: —
- Llama 3.1-70B: 65.5 (#218)

| Benchmark | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| IFEval | — | 82.1% |
| LMArena Instruction Following | — | 1231 |

## Long Context

- Devstral Small 2505: —
- Llama 3.1-70B: 37.6 (#208)

| Benchmark | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | — | 1241 |

## Writing & Preference

- Devstral Small 2505: —
- Llama 3.1-70B: 35.6 (#262)

| Benchmark | Devstral Small 2505 | Llama 3.1-70B |
|---|---|---|
| LMArena Text | — | 1261 |
| LMArena Creative Writing | — | 1232 |
| EQ-Bench Creative Writing | — | 784 |
| WildBench | — | 75.8% |
| LMArena Multi-Turn | — | 1256 |

## FAQ

### Is Devstral Small 2505 better than Llama 3.1-70B?

Devstral Small 2505 is the stronger model overall, scoring 33.9 to 29.4 on the Noometry Index.

### Which is cheaper, Devstral Small 2505 or Llama 3.1-70B?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Llama 3.1-70B lists at $0.40 and $0.40.

### Is Devstral Small 2505 or Llama 3.1-70B better for coding?

Devstral Small 2505 scores higher on coding benchmarks: 38.6 versus 29.8 in the Noometry coding category.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do Devstral Small 2505 and Llama 3.1-70B share?

0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Llama 3.1-70B has 35.