Model comparison
Claude 3.7 Sonnet vs Codellama 70b Instruct
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
MetaSummary
- They share 4 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 4 categories and Codellama 70b Instruct in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Claude 3.7 Sonnet leads 72.9 to 51.9.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Codellama 70b Instruct | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 39.5 | 33.7 |
| Released | 2025-02-24 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 58 | 7 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Codellama 70b Instruct: 37.6 (#193)
| Benchmark | Claude 3.7 Sonnet | Codellama 70b Instruct |
|---|---|---|
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 40.7% |
| LiveBench Coding | 74.5% | — |
| LMArena Coding | 1361 | — |
| BigCodeBench Complete | — | 49.6% |
| CadEval | 54% | — |
| HumanEval+ | — | 65.9% |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 34.1 (#50), Codellama 70b Instruct: —
| Benchmark | Claude 3.7 Sonnet | Codellama 70b Instruct |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Codellama 70b Instruct leads
Claude 3.7 Sonnet: 18.6 (#277), Codellama 70b Instruct: 20.1 (#242)
| Benchmark | Claude 3.7 Sonnet | Codellama 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1052 |
| 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 Not comparable
Claude 3.7 Sonnet: 37.5 (#153), Codellama 70b Instruct: —
| Benchmark | Claude 3.7 Sonnet | Codellama 70b Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| LMArena Math | 1337 | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Not comparable
Claude 3.7 Sonnet: 39.8 (#130), Codellama 70b Instruct: —
| Benchmark | Claude 3.7 Sonnet | Codellama 70b 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: 33.7 (#95), Codellama 70b Instruct: —
| Benchmark | Claude 3.7 Sonnet | Codellama 70b Instruct |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.1 (#179), Codellama 70b Instruct: 24.8 (#288)
| Benchmark | Claude 3.7 Sonnet | Codellama 70b Instruct |
|---|---|---|
| LMArena Non-English | 1296 | 992 |
| LMArena Chinese | 1299 | — |
| LMArena French | 1303 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Russian | 1311 | — |
| LMArena Spanish | 1298 | — |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), Codellama 70b Instruct: 51.9 (#293)
| Benchmark | Claude 3.7 Sonnet | Codellama 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1352 | 1024 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Not comparable
Claude 3.7 Sonnet: 50.3 (#10), Codellama 70b Instruct: —
| Benchmark | Claude 3.7 Sonnet | Codellama 70b Instruct |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Codellama 70b Instruct: 33.4 (#277)
| Benchmark | Claude 3.7 Sonnet | Codellama 70b Instruct |
|---|---|---|
| LMArena Text | 1314 | 1057 |
| LMArena Creative Writing | 1332 | — |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LMArena Multi-Turn | 1339 | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Codellama 70b Instruct?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 33.7 on the Noometry Index.
Is Claude 3.7 Sonnet or Codellama 70b Instruct better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 37.6 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Codellama 70b Instruct share?
4 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Codellama 70b Instruct has 7.