# Codellama 34b Instruct vs GPT-5.4 mini

> GPT-5.4 mini is the stronger model overall, scoring 45.0 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-gpt-5-4-mini
- Last updated: 2026-10-11
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and GPT-5.4 mini in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.4 mini leads 64.0 to 28.2.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 45.0 |
| Rank | 287 | 76 |
| Context | — | 400K |
| Input $/M | — | $0.75 |
| Output $/M | — | $4.50 |
| Weights | Open | Proprietary |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- GPT-5.4 mini: 45.2 (#72)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| LMArena Coding | 1046 | 1438 |
| FrontierCode | — | 27% |
| LMArena WebDev | — | 1397 |
| SciCode | — | 49.9% |
| WeirdML | — | 60.3% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 1,189 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- GPT-5.4 mini: 29.9 (#81)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| DeepResearch Bench | — | 36.3% |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- GPT-5.4 mini: 30.4 (#85)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1424 |
| ARC-AGI-2 | — | 18.9% |
| Kagi LLM Benchmark | — | 37.9% |
| NYT Connections (extended) | — | 61.8% |
| ARC-AGI-1 | — | 63.7% |
| CritPt | — | 10% |
| Chess Puzzles | — | 24% |
| Thematic Generalization | — | 61.7% |
| Mystery Game Puzzles | — | 11% |
| DTBench | — | 80% |
| LMCA | — | 40.8% |
| Epoch Capabilities Index | — | 148.84 |
| ForecastBench | — | 57 |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- GPT-5.4 mini: 45.5 (#75)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| LMArena Math | 1056 | 1419 |
| FrontierMath (Tiers 1-3) | — | 51.2% |
| FrontierMath Tier 4 | — | 9.8% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 21% |
| FrontierMath (Feb 2025 set) | — | 28.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Codellama 34b Instruct: —
- GPT-5.4 mini: 51.5 (#67)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| GPQA Diamond | — | 86.9% |
| SimpleQA Verified | — | 29.4% |
| Vectara Hallucination Rate | — | 5.5% |
| LMArena Expert | — | 1435 |

## Multimodal

- Codellama 34b Instruct: —
- GPT-5.4 mini: 39.7 (#56)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| LMArena Vision | — | 1245 |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- GPT-5.4 mini: 51.9 (#96)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| LMArena Non-English | 1011 | 1405 |
| LMArena Chinese | 976 | 1446 |
| LMArena French | — | 1440 |
| LMArena German | — | 1409 |
| LMArena Japanese | — | 1374 |
| LMArena Korean | — | 1368 |
| LMArena Russian | — | 1417 |
| LMArena Spanish | — | 1405 |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- GPT-5.4 mini: 74.1 (#102)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| LMArena Instruction Following | 1028 | 1405 |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- GPT-5.4 mini: 43.0 (#112)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| LMArena Longer Query | 1013 | 1407 |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- GPT-5.4 mini: 64.0 (#58)

| Benchmark | Codellama 34b Instruct | GPT-5.4 mini |
|---|---|---|
| LMArena Text | 1066 | 1412 |
| LMArena Creative Writing | 1032 | 1370 |
| LMArena Multi-Turn | 1015 | 1429 |
| EQ-Bench Creative Writing | — | 1665 |

## FAQ

### Is Codellama 34b Instruct better than GPT-5.4 mini?

GPT-5.4 mini is the stronger model overall, scoring 45.0 to 30.8 on the Noometry Index.

### Is Codellama 34b Instruct or GPT-5.4 mini better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 28.5 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and GPT-5.4 mini share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-5.4 mini has 46.