# Claude Opus 4 vs Llama 3-70B

> Claude Opus 4 is the stronger model overall, scoring 42.9 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-opus-4-vs-llama-3-70b
- Last updated: 2026-10-10
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. Claude Opus 4 scores higher in 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4 leads 40.2 to 12.0.
- The biggest single-benchmark swing is MATH Level 5: 85% for Claude Opus 4 and 22.6% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 42.9 | 28.5 |
| Rank | 93 | 317 |
| Context | 200K | — |
| Input $/M | $15 | — |
| Output $/M | $75 | — |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 4: 47.8 (#55)
- Llama 3-70B: 35.3 (#215)

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1442 | 1206 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| GSO | 6.9% | — |
| WeirdML | 43.7% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| AlgoTune | 1.33 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |

## Agentic & Tool Use

- Claude Opus 4: 34.5 (#39)
- Llama 3-70B: 20.9 (#132)

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| Cybench | 38% | 5% |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |

## Reasoning

- Claude Opus 4: 27.4 (#104)
- Llama 3-70B: 17.4 (#284)

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | 74.3% | 35.1% |
| LMArena Hard Prompts | 1399 | 1195 |
| DTBench | 81.6% | 54.2% |
| Epoch Capabilities Index | 142.67 | 122.91 |
| ForecastBench | 61.1 | 57.1 |
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| ARC-AGI-1 | 35.7% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 5.6% | — |
| LMCA | 37.4% | — |
| WinoGrande | — | 83.5% |

## Math

- Claude Opus 4: 40.2 (#80)
- Llama 3-70B: 12.0 (#299)

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 64.4% | 4.3% |
| LMArena Math | 1391 | 1218 |
| MATH Level 5 | 85% | 22.6% |
| Omni-MATH | 61.6% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Claude Opus 4: 43.9 (#82)
- Llama 3-70B: 20.8 (#272)

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 76.3% | 40.6% |
| LMArena Expert | 1384 | 1149 |
| Humanity's Last Exam | 10.7% | — |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 70.8% | — |
| MMLU | — | 79.3% |

## Multimodal

- Claude Opus 4: 30.9 (#101)
- Llama 3-70B: —

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |

## Multilingual

- Claude Opus 4: 49.0 (#133)
- Llama 3-70B: 33.8 (#246)

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1362 | 1142 |
| LMArena Chinese | 1386 | 1114 |
| LMArena French | 1370 | 1231 |
| LMArena German | 1391 | 1169 |
| LMArena Japanese | 1332 | 1017 |
| LMArena Korean | 1318 | 1017 |
| LMArena Russian | 1392 | 1159 |
| LMArena Spanish | 1388 | 1241 |

## Instruction Following

- Claude Opus 4: 77.3 (#26)
- Llama 3-70B: 62.8 (#233)

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1194 |
| IFEval | 91.8% | — |

## Long Context

- Claude Opus 4: 39.5 (#167)
- Llama 3-70B: 35.6 (#235)

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1422 | 1174 |
| Fiction.LiveBench | 61.1% | — |

## Writing & Preference

- Claude Opus 4: 61.4 (#85)
- Llama 3-70B: 43.0 (#225)

| Benchmark | Claude Opus 4 | Llama 3-70B |
|---|---|---|
| LMArena Text | 1377 | 1221 |
| LMArena Creative Writing | 1386 | 1210 |
| LMArena Multi-Turn | 1396 | 1223 |
| Short-Story Creative Writing | 83.6% | — |
| EQ-Bench Creative Writing | 1580 | — |
| WildBench | 85.2% | — |

## FAQ

### Is Claude Opus 4 better than Llama 3-70B?

Claude Opus 4 is the stronger model overall, scoring 42.9 to 28.5 on the Noometry Index.

### Is Claude Opus 4 or Llama 3-70B better for coding?

Claude Opus 4 scores higher on coding benchmarks: 47.8 versus 35.3 in the Noometry coding category.

### How many benchmarks do Claude Opus 4 and Llama 3-70B share?

25 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Llama 3-70B has 31.