# Codellama 34b Instruct vs GPT-6 Sol

> GPT-6 Sol is the stronger model overall, scoring 61.8 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-gpt-6-sol
- 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-6 Sol in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Sol leads 87.2 to 31.0.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 61.8 |
| Rank | 287 | 12 |
| Context | — | 1.05M |
| Input $/M | — | $2 |
| Output $/M | — | $10 |
| Weights | Open | Proprietary |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- GPT-6 Sol: 60.1 (#11)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1046 | 1447 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1688 |
| SciCode | — | 57.6% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 2,462 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- GPT-6 Sol: 37.2 (#36)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| APEX-Agents | — | 54.3% |
| GDP.pdf | — | 26.4% |
| Vending-Bench 2 | — | 14,428 |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- GPT-6 Sol: 74.0 (#9)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1418 |
| ARC-AGI-2 | — | 89.6% |
| NYT Connections (extended) | — | 90.1% |
| ARC-AGI-1 | — | 95.5% |
| CritPt | — | 30.9% |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | — | 56% |
| DTBench | — | 97.3% |
| LMCA | — | 59.1% |
| Epoch Capabilities Index | — | 162.72 |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- GPT-6 Sol: 87.2 (#7)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1056 | 1402 |
| FrontierMath (Tiers 1-3) | — | 89.8% |
| FrontierMath Tier 4 | — | 90% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 83% |

## Knowledge

- Codellama 34b Instruct: —
- GPT-6 Sol: 64.8 (#15)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| GPQA Diamond | — | 94.3% |
| SimpleQA Verified | — | 60.7% |
| Vectara Hallucination Rate | — | 6.5% |
| LMArena Expert | — | 1439 |

## Multimodal

- Codellama 34b Instruct: —
- GPT-6 Sol: 47.6 (#10)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| LMArena Vision | — | 1245 |
| Blueprint-Bench 2 | — | 36.9% |
| Furniture Assembly | — | 58.3% |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- GPT-6 Sol: 50.5 (#118)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1011 | 1385 |
| LMArena Chinese | 976 | 1405 |
| LMArena French | — | 1410 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1385 |
| LMArena Korean | — | 1341 |
| LMArena Russian | — | 1401 |
| LMArena Spanish | — | 1384 |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- GPT-6 Sol: 74.5 (#94)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1028 | 1412 |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- GPT-6 Sol: 43.1 (#108)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1013 | 1411 |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- GPT-6 Sol: 71.9 (#18)

| Benchmark | Codellama 34b Instruct | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1066 | 1395 |
| LMArena Creative Writing | 1032 | 1378 |
| LMArena Multi-Turn | 1015 | 1412 |
| EQ-Bench Creative Writing | — | 2125 |

## FAQ

### Is Codellama 34b Instruct better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 61.8 to 30.8 on the Noometry Index.

### Is Codellama 34b Instruct or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 28.5 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and GPT-6 Sol share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-6 Sol has 45.