Model comparison
Claude Opus 4 vs Llama 2-7B
Claude Opus 4 is the stronger model overall, scoring 42.9 to 28.6 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. Claude Opus 4 scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Opus 4 leads 61.4 to 28.1.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4 | Llama 2-7B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 42.9 | 28.6 |
| Released | 2025-05-22 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 32K | — |
| Input $ / M tokens | $15 | — |
| Output $ / M tokens | $75 | — |
| Results tracked | 56 | 29 |
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Category by category
Coding Claude Opus 4 leads
Claude Opus 4: 47.8 (#55), Llama 2-7B: 28.7 (#302)
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1442 | 1002 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| GSO | 6.9% | — |
| WeirdML | 43.7% | — |
| AlgoTune | 1.33 | — |
Agentic & Tool Use Not comparable
Claude Opus 4: 34.5 (#39), Llama 2-7B: —
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
Reasoning Claude Opus 4 leads
Claude Opus 4: 27.4 (#104), Llama 2-7B: 15.1 (#309)
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1009 |
| Epoch Capabilities Index | 142.67 | 98.54 |
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 74.3% | — |
| ARC-AGI-1 | 35.7% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 5.6% | — |
| DTBench | 81.6% | — |
| LMCA | 37.4% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 61.1 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Claude Opus 4 leads
Claude Opus 4: 40.2 (#80), Llama 2-7B: 28.2 (#231)
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| LMArena Math | 1391 | 1042 |
| OTIS Mock AIME 2024-2025 | 64.4% | — |
| Omni-MATH | 61.6% | — |
| MATH Level 5 | 85% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 16.7% |
Knowledge Claude Opus 4 leads
Claude Opus 4: 43.9 (#82), Llama 2-7B: 27.7 (#243)
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1384 | 1036 |
| GPQA Diamond | 76.3% | — |
| Humanity's Last Exam | 10.7% | — |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 70.8% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Claude Opus 4: 30.9 (#101), Llama 2-7B: —
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |
| ScienceQA | — | 43.1% |
Multilingual Claude Opus 4 leads
Claude Opus 4: 49.0 (#133), Llama 2-7B: 23.9 (#288)
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1362 | 973 |
| LMArena Chinese | 1386 | 973 |
| LMArena French | 1370 | 969 |
| LMArena German | 1391 | 978 |
| LMArena Russian | 1392 | 995 |
| LMArena Spanish | 1388 | 1007 |
| LMArena Japanese | 1332 | — |
| LMArena Korean | 1318 | — |
Instruction Following Claude Opus 4 leads
Claude Opus 4: 77.3 (#26), Llama 2-7B: 51.0 (#293)
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1006 |
| IFEval | 91.8% | — |
Long Context Claude Opus 4 leads
Claude Opus 4: 39.5 (#167), Llama 2-7B: 30.4 (#282)
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1422 | 999 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Claude Opus 4 leads
Claude Opus 4: 61.4 (#85), Llama 2-7B: 28.1 (#293)
| Benchmark | Claude Opus 4 | Llama 2-7B |
|---|---|---|
| LMArena Text | 1377 | 1053 |
| LMArena Creative Writing | 1386 | 1033 |
| LMArena Multi-Turn | 1396 | 1029 |
| Short-Story Creative Writing | 83.6% | — |
| EQ-Bench Creative Writing | 1580 | — |
| WildBench | 85.2% | — |
Frequently asked questions
Is Claude Opus 4 better than Llama 2-7B?
Claude Opus 4 is the stronger model overall, scoring 42.9 to 28.6 on the Noometry Index.
Is Claude Opus 4 or Llama 2-7B better for coding?
Claude Opus 4 scores higher on coding benchmarks: 47.8 versus 28.7 in the Noometry coding category.
How many benchmarks do Claude Opus 4 and Llama 2-7B share?
16 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Llama 2-7B has 29.