# Codellama 34b Instruct vs GPT-4.1 mini

> GPT-4.1 mini is the stronger model overall, scoring 33.5 to 30.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-gpt-4-1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Codellama 34b Instruct scores higher in 2 categories and GPT-4.1 mini in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.1 mini leads 73.9 to 52.4.
- The biggest single-benchmark swing is BigCodeBench Instruct: 29% for Codellama 34b Instruct and 48.9% for GPT-4.1 mini.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.2 | 33.5 |
| Rank | 285 | 232 |
| Context | — | 1.05M |
| Input $/M | — | $0.40 |
| Output $/M | — | $1.60 |
| Weights | Open | Proprietary |

## Coding

- Codellama 34b Instruct: 28.0 (#310)
- GPT-4.1 mini: 30.4 (#286)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| BigCodeBench Instruct | 29% | 48.9% |
| LMArena Coding | 1046 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| BigCodeBench Complete | 37.1% | — |
| CadEval | — | 16% |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- GPT-4.1 mini: 33.0 (#52)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |

## Reasoning

- Codellama 34b Instruct: 18.8 (#250)
- GPT-4.1 mini: 10.9 (#335)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1349 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LMCA | — | 21.1% |
| Epoch Capabilities Index | — | 135.01 |

## Math

- Codellama 34b Instruct: 28.5 (#227)
- GPT-4.1 mini: 23.1 (#264)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| LMArena Math | 1056 | 1343 |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| OTIS Mock AIME 2024-2025 | — | 44.7% |
| Omni-MATH | — | 49.1% |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |

## Knowledge

- Codellama 34b Instruct: —
- GPT-4.1 mini: 34.7 (#183)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| GPQA (HELM) | — | 61.4% |
| LMArena Expert | — | 1338 |

## Multimodal

- Codellama 34b Instruct: —
- GPT-4.1 mini: 35.2 (#77)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |

## Multilingual

- Codellama 34b Instruct: 25.9 (#279)
- GPT-4.1 mini: 45.9 (#161)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1011 | 1318 |
| LMArena Chinese | 976 | 1329 |
| LMArena French | — | 1357 |
| LMArena German | — | 1349 |
| LMArena Japanese | — | 1291 |
| LMArena Korean | — | 1298 |
| LMArena Russian | — | 1324 |
| LMArena Spanish | — | 1319 |

## Instruction Following

- Codellama 34b Instruct: 52.4 (#286)
- GPT-4.1 mini: 73.9 (#113)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1028 | 1332 |
| IFEval | — | 90.4% |

## Long Context

- Codellama 34b Instruct: 30.8 (#279)
- GPT-4.1 mini: 31.8 (#270)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1014 | 1344 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- Codellama 34b Instruct: 28.4 (#292)
- GPT-4.1 mini: 48.8 (#193)

| Benchmark | Codellama 34b Instruct | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1066 | 1341 |
| LMArena Creative Writing | 1032 | 1300 |
| LMArena Multi-Turn | 1015 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |

## FAQ

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

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 30.2 on the Noometry Index.

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

GPT-4.1 mini scores higher on coding benchmarks: 30.4 versus 28.0 in the Noometry coding category.

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

11 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-4.1 mini has 47.