# Codellama 34b Instruct vs GPT-5.4

> GPT-5.4 is the stronger model overall, scoring 59.4 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-gpt-5-4
- Last updated: 2026-10-10
- 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 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.4 leads 71.9 to 28.2.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 59.4 |
| Rank | 287 | 16 |
| Context | — | 1.05M |
| Input $/M | — | $2.50 |
| Output $/M | — | $15 |
| Weights | Open | Proprietary |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- GPT-5.4: 52.6 (#33)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| LMArena Coding | 1046 | 1497 |
| SWE-bench Verified | — | 76.9% |
| DeepSWE | — | 51.8% |
| LMArena WebDev | — | 1465 |
| SciCode | — | 56.6% |
| GSO | — | 31.4% |
| WeirdML | — | 77.7% |
| BigCodeBench Instruct | 29% | — |
| MirrorCode | — | 15.6% |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 1,607 |
| AlgoTune | — | 1.85 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- GPT-5.4: 46.5 (#13)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| Terminal-Bench | — | 81.8% |
| APEX-Agents | — | 52.4% |
| τ²-bench Banking | — | 39.4% |
| DeepResearch Bench | — | 35.1% |
| PostTrainBench | — | 19% |
| GBAEval | — | 45.1% |
| LMArena Search | — | 1197 |
| METR Time Horizons | — | 74.3% |
| Vending-Bench 2 | — | 6,144 |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- GPT-5.4: 61.8 (#19)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1485 |
| ARC-AGI-2 | — | 74% |
| Kagi LLM Benchmark | — | 63.8% |
| NYT Connections (extended) | — | 91.3% |
| ARC-AGI-1 | — | 93.7% |
| CritPt | — | 23.4% |
| Chess Puzzles | — | 44% |
| EnigmaEval | — | 16% |
| Thematic Generalization | — | 80% |
| EBR-Bench | — | 25.4% |
| Mystery Game Puzzles | — | 37% |
| DTBench | — | 94.4% |
| LMCA | — | 52% |
| Epoch Capabilities Index | — | 156.81 |
| ForecastBench | — | 59.5 |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- GPT-5.4: 73.5 (#19)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| LMArena Math | 1056 | 1488 |
| FrontierMath (Tiers 1-3) | — | 78.6% |
| FrontierMath Tier 4 | — | 49% |
| MathArena Final-Answer Competitions | — | 83.1% |
| OTIS Mock AIME 2024-2025 | — | 97.8% |
| ProofBench | — | 56% |
| FrontierMath (Feb 2025 set) | — | 47.6% |
| FrontierMath Tier 4 (v1) | — | 27.1% |

## Knowledge

- Codellama 34b Instruct: —
- GPT-5.4: 65.3 (#14)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| GPQA Diamond | — | 93.3% |
| Humanity's Last Exam | — | 36.2% |
| SimpleQA Verified | — | 45.1% |
| Vectara Hallucination Rate | — | 7% |
| LMArena Expert | — | 1507 |

## Multimodal

- Codellama 34b Instruct: —
- GPT-5.4: 43.7 (#20)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| LMArena Vision | — | 1303 |
| Blueprint-Bench 2 | — | 27.1% |
| Furniture Assembly | — | 37.5% |
| LMArena Document | — | 1471 |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- GPT-5.4: 56.2 (#23)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| LMArena Non-English | 1011 | 1465 |
| LMArena Chinese | 976 | 1519 |
| LMArena French | — | 1493 |
| LMArena German | — | 1472 |
| LMArena Japanese | — | 1485 |
| LMArena Korean | — | 1448 |
| LMArena Russian | — | 1480 |
| LMArena Spanish | — | 1454 |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- GPT-5.4: 77.1 (#27)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| LMArena Instruction Following | 1028 | 1469 |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- GPT-5.4: 50.3 (#8)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| LMArena Longer Query | 1013 | 1473 |
| CL-bench | — | 27.9% |
| CL-bench Life | — | 21.7% |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- GPT-5.4: 71.9 (#17)

| Benchmark | Codellama 34b Instruct | GPT-5.4 |
|---|---|---|
| LMArena Text | 1066 | 1469 |
| LMArena Creative Writing | 1032 | 1439 |
| LMArena Multi-Turn | 1015 | 1482 |
| EQ-Bench Creative Writing | — | 1840 |
| EQ-Bench 4 | — | 1272 |

## FAQ

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

GPT-5.4 is the stronger model overall, scoring 59.4 to 30.8 on the Noometry Index.

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

GPT-5.4 scores higher on coding benchmarks: 52.6 versus 28.5 in the Noometry coding category.

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

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-5.4 has 68.