# Codellama 70b Instruct vs GPT-5.4 nano

> GPT-5.4 nano is the stronger model overall, scoring 41.9 to 33.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-70b-instruct-vs-gpt-5-4-nano
- Last updated: 2026-10-11
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and GPT-5.4 nano in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-5.4 nano leads 48.6 to 24.8.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 33.7 | 41.9 |
| Rank | 237 | 125 |
| Context | — | 400K |
| Input $/M | — | $0.20 |
| Output $/M | — | $1.25 |
| Weights | Open | Proprietary |

## Coding

- Codellama 70b Instruct: 37.6 (#193)
- GPT-5.4 nano: 43.6 (#84)

| Benchmark | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| SciCode | — | 46.9% |
| WeirdML | — | 49.2% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1405 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 1,005 |
| HumanEval+ | 65.9% | — |

## Reasoning

- Codellama 70b Instruct: 20.1 (#242)
- GPT-5.4 nano: 23.7 (#173)

| Benchmark | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1381 |
| ARC-AGI-2 | — | 5.7% |
| Kagi LLM Benchmark | — | 39.7% |
| ARC-AGI-1 | — | 51.5% |
| CritPt | — | 9.3% |
| Chess Puzzles | — | 30% |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 80.3% |
| LMCA | — | 36.9% |
| Epoch Capabilities Index | — | 145.81 |
| ForecastBench | — | 57.3 |

## Math

- Codellama 70b Instruct: —
- GPT-5.4 nano: 40.9 (#88)

| Benchmark | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 44.9% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 87.8% |
| ProofBench | — | 5% |
| LMArena Math | — | 1406 |
| FrontierMath (Feb 2025 set) | — | 25.9% |
| FrontierMath Tier 4 (v1) | — | 6.3% |

## Knowledge

- Codellama 70b Instruct: —
- GPT-5.4 nano: 41.9 (#103)

| Benchmark | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| GPQA Diamond | — | 78.5% |
| SimpleQA Verified | — | 11.7% |
| Vectara Hallucination Rate | — | 3.1% |
| LMArena Expert | — | 1396 |

## Multimodal

- Codellama 70b Instruct: —
- GPT-5.4 nano: 36.7 (#78)

| Benchmark | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| LMArena Vision | — | 1196 |

## Multilingual

- Codellama 70b Instruct: 24.8 (#288)
- GPT-5.4 nano: 48.6 (#140)

| Benchmark | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| LMArena Non-English | 992 | 1359 |
| LMArena Chinese | — | 1392 |
| LMArena French | — | 1396 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1343 |
| LMArena Korean | — | 1320 |
| LMArena Russian | — | 1363 |
| LMArena Spanish | — | 1371 |

## Instruction Following

- Codellama 70b Instruct: 51.9 (#293)
- GPT-5.4 nano: 71.9 (#144)

| Benchmark | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| LMArena Instruction Following | 1024 | 1362 |

## Long Context

- Codellama 70b Instruct: —
- GPT-5.4 nano: 41.6 (#137)

| Benchmark | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| LMArena Longer Query | — | 1366 |

## Writing & Preference

- Codellama 70b Instruct: 33.4 (#277)
- GPT-5.4 nano: 55.7 (#142)

| Benchmark | Codellama 70b Instruct | GPT-5.4 nano |
|---|---|---|
| LMArena Text | 1057 | 1372 |
| LMArena Creative Writing | — | 1314 |
| LMArena Multi-Turn | — | 1382 |

## FAQ

### Is Codellama 70b Instruct better than GPT-5.4 nano?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 33.7 on the Noometry Index.

### Is Codellama 70b Instruct or GPT-5.4 nano better for coding?

GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 37.6 in the Noometry coding category.

### How many benchmarks do Codellama 70b Instruct and GPT-5.4 nano share?

4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and GPT-5.4 nano has 40.