Model comparison
Claude 3.7 Sonnet vs Llama2 70b Steerlm Chat
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 6 categories and Llama2 70b Steerlm Chat in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude 3.7 Sonnet leads 54.4 to 31.6.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 39.5 | 31.8 |
| Released | 2025-02-24 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 58 | 9 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1361 | 1025 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 34.1 (#50), Llama2 70b Steerlm Chat: —
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Llama2 70b Steerlm Chat leads
Claude 3.7 Sonnet: 18.6 (#277), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1047 |
| 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: 37.5 (#153), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1337 | 1072 |
| 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: 39.8 (#130), Llama2 70b Steerlm Chat: —
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| 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), Llama2 70b Steerlm Chat: —
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.1 (#179), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1296 | 1063 |
| 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), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1352 | 1060 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1373 | 998 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | Claude 3.7 Sonnet | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1314 | 1098 |
| LMArena Creative Writing | 1332 | 1091 |
| LMArena Multi-Turn | 1339 | 1058 |
| 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 Llama2 70b Steerlm Chat?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 31.8 on the Noometry Index.
Is Claude 3.7 Sonnet or Llama2 70b Steerlm Chat better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 29.9 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Llama2 70b Steerlm Chat has 9.