# Claude 3 Sonnet vs Llama-3.3-70B-Instruct

> Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.6 to 29.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-sonnet-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Claude 3 Sonnet scores higher in 2 categories and Llama-3.3-70B-Instruct in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Claude 3 Sonnet leads 36.7 to 26.4.
- The biggest single-benchmark swing is MATH Level 5: 18.2% for Claude 3 Sonnet and 41.6% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 29.0 | 30.6 |
| Rank | 319 | 291 |
| Context | — | 128K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.32 |
| Weights | Proprietary | Open |

## Coding

- Claude 3 Sonnet: 29.6 (#302)
- Llama-3.3-70B-Instruct: 31.0 (#290)

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| WeirdML | 10.2% | 14.4% |
| BigCodeBench Instruct | 42.7% | 46.9% |
| LMArena Coding | 1223 | 1268 |
| BigCodeBench Complete | 53.8% | 57.5% |
| SciCode | — | 26% |
| LiveBench Coding | — | 36.6% |
| HumanEval+ | 64% | — |
| MBPP+ | 69.3% | — |

## Agentic & Tool Use

- Claude 3 Sonnet: —
- Llama-3.3-70B-Instruct: 25.8 (#105)

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |

## Reasoning

- Claude 3 Sonnet: 20.5 (#237)
- Llama-3.3-70B-Instruct: 14.1 (#327)

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1197 | 1257 |
| DTBench | 53.6% | 59.5% |
| Epoch Capabilities Index | 120.7 | 127.33 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |
| WinoGrande | 75.1% | — |

## Math

- Claude 3 Sonnet: 10.7 (#310)
- Llama-3.3-70B-Instruct: 15.3 (#298)

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | 5.1% |
| LMArena Math | 1213 | 1267 |
| MATH Level 5 | 18.2% | 41.6% |
| LiveBench Math | — | 42.2% |

## Knowledge

- Claude 3 Sonnet: 21.1 (#276)
- Llama-3.3-70B-Instruct: 30.6 (#226)

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 40.6% | 47.4% |
| LMArena Expert | 1173 | 1225 |
| MMLU | 75.9% | 86.3% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |

## Multimodal

- Claude 3 Sonnet: 25.2 (#125)
- Llama-3.3-70B-Instruct: —

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 984 | — |

## Multilingual

- Claude 3 Sonnet: 37.8 (#234)
- Llama-3.3-70B-Instruct: 39.9 (#220)

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1205 | 1236 |
| LMArena Chinese | 1189 | 1217 |
| LMArena French | 1229 | 1281 |
| LMArena German | 1204 | 1251 |
| LMArena Japanese | 1131 | 1150 |
| LMArena Korean | 1128 | 1143 |
| LMArena Russian | 1227 | 1252 |
| LMArena Spanish | 1204 | 1270 |

## Instruction Following

- Claude 3 Sonnet: 62.8 (#235)
- Llama-3.3-70B-Instruct: 71.1 (#157)

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1199 | 1242 |
| LiveBench Instruction Following | — | 82.7% |

## Long Context

- Claude 3 Sonnet: 36.7 (#228)
- Llama-3.3-70B-Instruct: 26.4 (#295)

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1211 | 1256 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Claude 3 Sonnet: 42.1 (#238)
- Llama-3.3-70B-Instruct: 47.6 (#207)

| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1218 | 1274 |
| LMArena Creative Writing | 1186 | 1250 |
| LMArena Multi-Turn | 1227 | 1280 |
| LiveBench Language | — | 39.2% |

## FAQ

### Is Claude 3 Sonnet better than Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.6 to 29.0 on the Noometry Index.

### Is Claude 3 Sonnet or Llama-3.3-70B-Instruct better for coding?

Llama-3.3-70B-Instruct scores higher on coding benchmarks: 31.0 versus 29.6 in the Noometry coding category.

### How many benchmarks do Claude 3 Sonnet and Llama-3.3-70B-Instruct share?

26 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and Llama-3.3-70B-Instruct has 43.