# Claude 3.7 Sonnet vs Llama 3-70B

> Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 28.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-7-sonnet-vs-llama-3-70b
- Last updated: 2026-10-12
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 9 categories and Llama 3-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude 3.7 Sonnet leads 37.5 to 12.8.
- The biggest single-benchmark swing is MATH Level 5: 91.2% for Claude 3.7 Sonnet and 22.6% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 39.5 | 28.8 |
| Rank | 164 | 323 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Claude 3.7 Sonnet: 40.6 (#136)
- Llama 3-70B: 35.8 (#218)

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1361 | 1206 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 43.6% |
| LiveBench Coding | 74.5% | — |
| BigCodeBench Complete | — | 54.5% |
| CadEval | 54% | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |

## Agentic & Tool Use

- Claude 3.7 Sonnet: 34.1 (#50)
- Llama 3-70B: 21.1 (#139)

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| Cybench | 20% | 5% |
| TheAgentCompany | 30.9% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |

## Reasoning

- Claude 3.7 Sonnet: 18.6 (#277)
- Llama 3-70B: 18.0 (#288)

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1195 |
| Epoch Capabilities Index | 141.16 | 122.93 |
| ForecastBench | 61.8 | 57.1 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 35.1% |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| DTBench | — | 54.2% |
| LiveBench Data Analysis | 74% | — |
| LiveBench | 76.1% | — |
| WinoGrande | — | 83.5% |

## Math

- Claude 3.7 Sonnet: 37.5 (#153)
- Llama 3-70B: 12.8 (#305)

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 4.3% |
| LMArena Math | 1337 | 1218 |
| MATH Level 5 | 91.2% | 22.6% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |

## Knowledge

- Claude 3.7 Sonnet: 39.8 (#130)
- Llama 3-70B: 20.8 (#277)

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 79.7% | 40.6% |
| LMArena Expert | 1321 | 1149 |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| MMLU | — | 79.3% |

## Multimodal

- Claude 3.7 Sonnet: 33.7 (#95)
- Llama 3-70B: —

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |

## Multilingual

- Claude 3.7 Sonnet: 44.1 (#179)
- Llama 3-70B: 33.6 (#251)

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1296 | 1142 |
| LMArena Chinese | 1299 | 1114 |
| LMArena French | 1303 | 1232 |
| LMArena German | 1301 | 1169 |
| LMArena Japanese | 1267 | 1017 |
| LMArena Korean | 1249 | 1017 |
| LMArena Russian | 1311 | 1159 |
| LMArena Spanish | 1298 | 1241 |

## Instruction Following

- Claude 3.7 Sonnet: 72.9 (#125)
- Llama 3-70B: 62.5 (#238)

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1352 | 1194 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |

## Long Context

- Claude 3.7 Sonnet: 50.3 (#10)
- Llama 3-70B: 35.6 (#240)

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1373 | 1174 |
| Fiction.LiveBench | 83.3% | — |

## Writing & Preference

- Claude 3.7 Sonnet: 54.4 (#150)
- Llama 3-70B: 42.8 (#231)

| Benchmark | Claude 3.7 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Text | 1314 | 1221 |
| LMArena Creative Writing | 1332 | 1210 |
| LMArena Multi-Turn | 1339 | 1223 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |

## FAQ

### Is Claude 3.7 Sonnet better than Llama 3-70B?

Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 28.8 on the Noometry Index.

### Is Claude 3.7 Sonnet or Llama 3-70B better for coding?

Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 35.8 in the Noometry coding category.

### How many benchmarks do Claude 3.7 Sonnet and Llama 3-70B share?

23 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Llama 3-70B has 31.