Model comparison
Claude 3.7 Sonnet vs Llama 3.1-8B
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 23.0 on the Noometry Index.
Last verified . 27 shared benchmarks.
MetaSummary
- They share 27 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 9 categories and Llama 3.1-8B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude 3.7 Sonnet leads 39.8 to 8.0.
- The biggest single-benchmark swing is MATH Level 5: 91.2% for Claude 3.7 Sonnet and 22.9% for Llama 3.1-8B.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Llama 3.1-8B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 39.5 | 23.0 |
| Released | 2025-02-24 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 58 | 43 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Llama 3.1-8B: 20.2 (#340)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| LMArena Coding | 1361 | 1195 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| SciCode | — | 13.2% |
| GSO | 3.8% | — |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| LiveBench Coding | 74.5% | — |
| BigCodeBench Complete | — | 40.5% |
| CadEval | 54% | — |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 34.1 (#50), Llama 3.1-8B: 22.5 (#131)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| BALROG | — | 15.1% |
| METR Time Horizons | 60% | — |
Reasoning Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 18.6 (#277), Llama 3.1-8B: 14.9 (#321)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1175 |
| Epoch Capabilities Index | 141.16 | 116.57 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| DTBench | — | 50.9% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 5.4% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
| PIQA | — | 81.2% |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 37.5 (#153), Llama 3.1-8B: 10.2 (#317)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 1.7% |
| Omni-MATH | 33% | 13.7% |
| LMArena Math | 1337 | 1179 |
| MATH Level 5 | 91.2% | 22.9% |
| LiveBench Math | 79% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| GSM8K | — | 82.4% |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.8 (#130), Llama 3.1-8B: 8.0 (#307)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| GPQA Diamond | 79.7% | 27% |
| MMLU-Pro | 78.4% | 40.6% |
| GPQA (HELM) | 60.8% | 24.7% |
| LMArena Expert | 1321 | 1144 |
| Humanity's Last Exam | 8% | — |
| Confabulations | 14.7% | — |
| BoolQ | — | 82.8% |
| MMLU | — | 56.1% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Llama 3.1-8B: —
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.1 (#179), Llama 3.1-8B: 34.0 (#249)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1296 | 1148 |
| LMArena Chinese | 1299 | 1151 |
| LMArena French | 1303 | 1177 |
| LMArena German | 1301 | 1144 |
| LMArena Japanese | 1267 | 1061 |
| LMArena Korean | 1249 | 1053 |
| LMArena Russian | 1311 | 1158 |
| LMArena Spanish | 1298 | 1169 |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), Llama 3.1-8B: 58.9 (#258)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| IFEval | 83.4% | 74.3% |
| LMArena Instruction Following | 1352 | 1159 |
| LiveBench Instruction Following | 81.3% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Llama 3.1-8B: 35.8 (#238)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1373 | 1182 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Llama 3.1-8B: 29.7 (#290)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1314 | 1187 |
| LMArena Creative Writing | 1332 | 1154 |
| EQ-Bench Creative Writing | 1412 | 713 |
| WildBench | 81.4% | 68.7% |
| LMArena Multi-Turn | 1339 | 1172 |
| Short-Story Creative Writing | 81.1% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Llama 3.1-8B?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 23.0 on the Noometry Index.
Is Claude 3.7 Sonnet or Llama 3.1-8B better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 20.2 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Llama 3.1-8B share?
27 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Llama 3.1-8B has 43.