Model comparison
Claude 3.7 Sonnet vs Codellama 34b Instruct
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 30.2 on the Noometry Index.
Last verified . 10 shared benchmarks.
MetaSummary
- They share 10 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 6 categories and Codellama 34b Instruct in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude 3.7 Sonnet leads 54.6 to 28.4.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Codellama 34b Instruct | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 39.4 | 30.2 |
| Released | 2025-02-24 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 58 | 14 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 41.1 (#120), Codellama 34b Instruct: 28.0 (#310)
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| LMArena Coding | 1361 | 1046 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 29% |
| LiveBench Coding | 74.5% | — |
| BigCodeBench Complete | — | 37.1% |
| CadEval | 54% | — |
| HumanEval+ | — | 43.9% |
| MBPP+ | — | 56.3% |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 33.9 (#46), Codellama 34b Instruct: —
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Too close to call
Claude 3.7 Sonnet: 18.7 (#252), Codellama 34b Instruct: 18.8 (#250)
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1032 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 35.7 (#137), Codellama 34b Instruct: 28.5 (#227)
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| LMArena Math | 1336 | 1056 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Not comparable
Claude 3.7 Sonnet: 39.7 (#117), Codellama 34b Instruct: —
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| LMArena Expert | 1321 | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.1 (#90), Codellama 34b Instruct: —
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.3 (#174), Codellama 34b Instruct: 25.9 (#279)
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| LMArena Non-English | 1296 | 1011 |
| LMArena Chinese | 1299 | 976 |
| LMArena French | 1302 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1268 | — |
| LMArena Korean | 1249 | — |
| LMArena Russian | 1311 | — |
| LMArena Spanish | 1299 | — |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 73.1 (#120), Codellama 34b Instruct: 52.4 (#286)
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| LMArena Instruction Following | 1352 | 1028 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), Codellama 34b Instruct: 30.8 (#279)
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| LMArena Longer Query | 1373 | 1014 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.6 (#145), Codellama 34b Instruct: 28.4 (#292)
| Benchmark | Claude 3.7 Sonnet | Codellama 34b Instruct |
|---|---|---|
| LMArena Text | 1314 | 1066 |
| LMArena Creative Writing | 1332 | 1032 |
| LMArena Multi-Turn | 1339 | 1015 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Codellama 34b Instruct?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 30.2 on the Noometry Index.
Is Claude 3.7 Sonnet or Codellama 34b Instruct better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 41.1 versus 28.0 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Codellama 34b Instruct share?
10 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Codellama 34b Instruct has 14.