# Codellama 34b Instruct vs GPT-4.1

> GPT-4.1 is the stronger model overall, scoring 35.7 to 30.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-gpt-4-1
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 2 categories and GPT-4.1 in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.1 leads 57.8 to 28.4.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.2 | 35.7 |
| Rank | 285 | 215 |
| Context | — | 1.05M |
| Input $/M | — | $2 |
| Output $/M | — | $8 |
| Weights | Open | Proprietary |

## Coding

- Codellama 34b Instruct: 28.0 (#310)
- GPT-4.1: 34.2 (#228)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| LMArena Coding | 1046 | 1391 |
| SWE-bench Verified | — | 48.5% |
| SWE-bench Verified (bash only) | — | 39.6% |
| Aider Polyglot | — | 52.4% |
| WeirdML | — | 39% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| CadEval | — | 42% |
| ALE-Bench | — | 558.1 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- GPT-4.1: 34.4 (#40)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 54% |

## Reasoning

- Codellama 34b Instruct: 18.8 (#250)
- GPT-4.1: 11.7 (#334)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1384 |
| ARC-AGI-2 | — | 0.4% |
| SimpleBench | — | 27% |
| Kagi LLM Benchmark | — | 52.3% |
| ARC-AGI-1 | — | 5.5% |
| Chess Puzzles | — | 6% |
| EnigmaEval | — | 2.2% |
| DTBench | — | 68.3% |
| LMCA | — | 25.6% |
| Epoch Capabilities Index | — | 136.79 |
| ForecastBench | — | 61.5 |

## Math

- Codellama 34b Instruct: 28.5 (#227)
- GPT-4.1: 21.4 (#269)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| LMArena Math | 1056 | 1369 |
| FrontierMath (Tiers 1-3) | — | 6% |
| OTIS Mock AIME 2024-2025 | — | 38.3% |
| Omni-MATH | — | 47.1% |
| MATH Level 5 | — | 83% |
| FrontierMath (Feb 2025 set) | — | 5.5% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Codellama 34b Instruct: —
- GPT-4.1: 37.0 (#152)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| GPQA Diamond | — | 66.9% |
| Humanity's Last Exam | — | 5.4% |
| SimpleQA Verified | — | 31.1% |
| MMLU-Pro | — | 81.1% |
| Vectara Hallucination Rate | — | 5.6% |
| GPQA (HELM) | — | 65.9% |
| LMArena Expert | — | 1364 |

## Multimodal

- Codellama 34b Instruct: —
- GPT-4.1: 37.5 (#66)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| LMArena Vision | — | 1210 |
| GeoBench | — | 72% |

## Multilingual

- Codellama 34b Instruct: 25.9 (#279)
- GPT-4.1: 49.6 (#128)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| LMArena Non-English | 1011 | 1370 |
| LMArena Chinese | 976 | 1382 |
| LMArena French | — | 1383 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1320 |
| LMArena Korean | — | 1339 |
| LMArena Russian | — | 1377 |
| LMArena Spanish | — | 1375 |

## Instruction Following

- Codellama 34b Instruct: 52.4 (#286)
- GPT-4.1: 71.5 (#148)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| LMArena Instruction Following | 1028 | 1367 |
| IFEval | — | 83.8% |

## Long Context

- Codellama 34b Instruct: 30.8 (#279)
- GPT-4.1: 40.0 (#158)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| LMArena Longer Query | 1014 | 1385 |
| Fiction.LiveBench | — | 63.9% |

## Writing & Preference

- Codellama 34b Instruct: 28.4 (#292)
- GPT-4.1: 57.8 (#120)

| Benchmark | Codellama 34b Instruct | GPT-4.1 |
|---|---|---|
| LMArena Text | 1066 | 1383 |
| LMArena Creative Writing | 1032 | 1363 |
| LMArena Multi-Turn | 1015 | 1398 |
| EQ-Bench Creative Writing | — | 1420 |
| WildBench | — | 85.4% |

## FAQ

### Is Codellama 34b Instruct better than GPT-4.1?

GPT-4.1 is the stronger model overall, scoring 35.7 to 30.2 on the Noometry Index.

### Is Codellama 34b Instruct or GPT-4.1 better for coding?

GPT-4.1 scores higher on coding benchmarks: 34.2 versus 28.0 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and GPT-4.1 share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-4.1 has 52.