# Codellama 70b Instruct vs GPT-4.1 nano

> Codellama 70b Instruct is the stronger model overall, scoring 33.3 to 27.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-70b-instruct-vs-gpt-4-1-nano
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and GPT-4.1 nano in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4.1 nano leads 41.8 to 24.9.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 33.3 | 27.7 |
| Rank | 236 | 322 |
| Context | — | 1.05M |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.40 |
| Weights | Open | Proprietary |

## Coding

- Codellama 70b Instruct: 37.0 (#189)
- GPT-4.1 nano: 23.8 (#325)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| Aider Polyglot | — | 8.9% |
| SciCode | — | 25.9% |
| WeirdML | — | 19% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1306 |
| BigCodeBench Complete | 49.6% | — |
| HumanEval+ | 65.9% | — |

## Agentic & Tool Use

- Codellama 70b Instruct: —
- GPT-4.1 nano: 26.3 (#98)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 33% |

## Reasoning

- Codellama 70b Instruct: 19.2 (#241)
- GPT-4.1 nano: 8.6 (#344)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1286 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 33.3% |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
| DTBench | — | 52.5% |
| LMCA | — | 5.5% |
| Epoch Capabilities Index | — | 129.62 |

## Math

- Codellama 70b Instruct: —
- GPT-4.1 nano: 25.5 (#246)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 28.9% |
| Omni-MATH | — | 36.7% |
| LMArena Math | — | 1274 |
| MATH Level 5 | — | 70% |
| FrontierMath (Feb 2025 set) | — | 1% |

## Knowledge

- Codellama 70b Instruct: —
- GPT-4.1 nano: 21.8 (#268)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | — | 48.9% |
| SimpleQA Verified | — | 6% |
| MMLU-Pro | — | 55% |
| GPQA (HELM) | — | 50.7% |
| LMArena Expert | — | 1272 |

## Multimodal

- Codellama 70b Instruct: —
- GPT-4.1 nano: 28.6 (#108)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | — | 1063 |

## Multilingual

- Codellama 70b Instruct: 24.9 (#283)
- GPT-4.1 nano: 41.8 (#200)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 992 | 1260 |
| LMArena Chinese | — | 1270 |
| LMArena German | — | 1288 |
| LMArena Japanese | — | 1199 |
| LMArena Russian | — | 1261 |

## Instruction Following

- Codellama 70b Instruct: 52.1 (#288)
- GPT-4.1 nano: 68.0 (#188)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Instruction Following | 1024 | 1267 |
| IFEval | — | 84.3% |

## Long Context

- Codellama 70b Instruct: —
- GPT-4.1 nano: 23.7 (#291)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| Fiction.LiveBench | — | 25% |
| LMArena Longer Query | — | 1283 |

## Writing & Preference

- Codellama 70b Instruct: 33.6 (#272)
- GPT-4.1 nano: 40.7 (#238)

| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1057 | 1285 |
| LMArena Creative Writing | — | 1260 |
| EQ-Bench Creative Writing | — | 946 |
| WildBench | — | 81.2% |
| LMArena Multi-Turn | — | 1277 |

## FAQ

### Is Codellama 70b Instruct better than GPT-4.1 nano?

Codellama 70b Instruct is the stronger model overall, scoring 33.3 to 27.7 on the Noometry Index.

### Is Codellama 70b Instruct or GPT-4.1 nano better for coding?

Codellama 70b Instruct scores higher on coding benchmarks: 37.0 versus 23.8 in the Noometry coding category.

### How many benchmarks do Codellama 70b Instruct and GPT-4.1 nano share?

4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and GPT-4.1 nano has 38.