Model comparison
Claude Opus 4.5 vs Llama 2-13B
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 29.1 on the Noometry Index.
Last verified . 20 shared benchmarks.
MetaSummary
- They share 20 benchmarks with published results for both. Claude Opus 4.5 scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Opus 4.5 leads 68.2 to 30.0.
- The biggest single-benchmark swing is DTBench: 89.9% for Claude Opus 4.5 and 42.2% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.5 | Llama 2-13B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 50.5 | 29.1 |
| Released | 2025-11-01 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 69 | 32 |
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Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 55.4 (#21), Llama 2-13B: 30.4 (#287)
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1504 | 1062 |
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| LMArena WebDev | 1493 | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| WeirdML | 63.7% | — |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.5: 47.2 (#11), Llama 2-13B: —
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| Terminal-Bench | 63.1% | — |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| BALROG | 43.5% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
| Vending-Bench 2 | 4,967 | — |
Reasoning Claude Opus 4.5 leads
Claude Opus 4.5: 42.5 (#43), Llama 2-13B: 12.3 (#333)
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 12% | 0% |
| LMArena Hard Prompts | 1476 | 1051 |
| DTBench | 89.9% | 42.2% |
| Epoch Capabilities Index | 150.1 | 105.8 |
| ARC-AGI-2 | 37.6% | — |
| SimpleBench | 62% | — |
| Kagi LLM Benchmark | 80.2% | — |
| NYT Connections (extended) | 52.5% | — |
| ARC-AGI-1 | 80% | — |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 22% | — |
| LMCA | 44.5% | — |
| BIG-Bench Hard | — | 58.2% |
| ForecastBench | 60.7 | — |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math Claude Opus 4.5 leads
Claude Opus 4.5: 38.5 (#85), Llama 2-13B: 28.7 (#226)
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| LMArena Math | 1463 | 1065 |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 86.1% | — |
| ProofBench | 36% | — |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 36.9% |
Knowledge Claude Opus 4.5 leads
Claude Opus 4.5: 56.4 (#38), Llama 2-13B: 27.5 (#244)
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1488 | 1030 |
| GPQA Diamond | 86% | — |
| Humanity's Last Exam | 25.2% | — |
| SimpleQA Verified | 45.7% | — |
| Vectara Hallucination Rate | 10.9% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
Claude Opus 4.5: 31.1 (#99), Llama 2-13B: —
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
| ScienceQA | — | 55.8% |
Multilingual Claude Opus 4.5 leads
Claude Opus 4.5: 54.5 (#45), Llama 2-13B: 26.7 (#274)
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1438 | 1024 |
| LMArena Chinese | 1470 | 1001 |
| LMArena French | 1471 | 1043 |
| LMArena German | 1449 | 1009 |
| LMArena Japanese | 1415 | 894 |
| LMArena Korean | 1424 | 953 |
| LMArena Russian | 1448 | 1055 |
| LMArena Spanish | 1455 | 1086 |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.7 (#20), Llama 2-13B: 53.5 (#282)
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1478 | 1046 |
Long Context Claude Opus 4.5 leads
Claude Opus 4.5: 46.4 (#21), Llama 2-13B: 32.3 (#264)
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1480 | 1064 |
| CL-bench | 21.1% | — |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.2 (#28), Llama 2-13B: 30.0 (#284)
| Benchmark | Claude Opus 4.5 | Llama 2-13B |
|---|---|---|
| LMArena Text | 1451 | 1085 |
| LMArena Creative Writing | 1445 | 1047 |
| LMArena Multi-Turn | 1466 | 1050 |
| EQ-Bench Creative Writing | 1687 | — |
Frequently asked questions
Is Claude Opus 4.5 better than Llama 2-13B?
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 29.1 on the Noometry Index.
Is Claude Opus 4.5 or Llama 2-13B better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 55.4 versus 30.4 in the Noometry coding category.
How many benchmarks do Claude Opus 4.5 and Llama 2-13B share?
20 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Llama 2-13B has 32.