# Claude Sonnet 4.6 vs Codellama 34b Instruct

> Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 30.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-sonnet-4-6-vs-codellama-34b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 7 categories and Codellama 34b Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.6 leads 70.4 to 28.4.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 50.1 | 30.2 |
| Rank | 42 | 285 |
| Context | 1M | — |
| Input $/M | $3 | — |
| Output $/M | $15 | — |
| Weights | Proprietary | Open |

## Coding

- Claude Sonnet 4.6: 46.0 (#62)
- Codellama 34b Instruct: 28.0 (#310)

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| LMArena Coding | 1504 | 1046 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1521 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| BigCodeBench Instruct | — | 29% |
| BigCodeBench Complete | — | 37.1% |
| ALE-Bench | 1,327 | — |
| HumanEval+ | — | 43.9% |
| MBPP+ | — | 56.3% |

## Agentic & Tool Use

- Claude Sonnet 4.6: 39.1 (#26)
- Codellama 34b Instruct: —

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |

## Reasoning

- Claude Sonnet 4.6: 46.1 (#40)
- Codellama 34b Instruct: 18.8 (#250)

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1032 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.25 | — |
| ForecastBench | 62 | — |

## Math

- Claude Sonnet 4.6: 51.9 (#41)
- Codellama 34b Instruct: 28.5 (#227)

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| LMArena Math | 1463 | 1056 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |

## Knowledge

- Claude Sonnet 4.6: 51.6 (#60)
- Codellama 34b Instruct: —

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |

## Multimodal

- Claude Sonnet 4.6: 38.0 (#61)
- Codellama 34b Instruct: —

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |

## Multilingual

- Claude Sonnet 4.6: 54.6 (#39)
- Codellama 34b Instruct: 25.9 (#279)

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| LMArena Non-English | 1440 | 1011 |
| LMArena Chinese | 1491 | 976 |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1419 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1465 | — |

## Instruction Following

- Claude Sonnet 4.6: 77.6 (#23)
- Codellama 34b Instruct: 52.4 (#286)

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| LMArena Instruction Following | 1476 | 1028 |

## Long Context

- Claude Sonnet 4.6: 45.3 (#40)
- Codellama 34b Instruct: 30.8 (#279)

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| LMArena Longer Query | 1479 | 1014 |

## Writing & Preference

- Claude Sonnet 4.6: 70.4 (#22)
- Codellama 34b Instruct: 28.4 (#292)

| Benchmark | Claude Sonnet 4.6 | Codellama 34b Instruct |
|---|---|---|
| LMArena Text | 1458 | 1066 |
| LMArena Creative Writing | 1435 | 1032 |
| LMArena Multi-Turn | 1464 | 1015 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |

## FAQ

### Is Claude Sonnet 4.6 better than Codellama 34b Instruct?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 30.2 on the Noometry Index.

### Is Claude Sonnet 4.6 or Codellama 34b Instruct better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 28.0 in the Noometry coding category.

### How many benchmarks do Claude Sonnet 4.6 and Codellama 34b Instruct share?

10 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Codellama 34b Instruct has 14.