Model comparison
Claude Opus 4.5 vs Llama 3-8B
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 25.5 on the Noometry Index.
Last verified . 23 shared benchmarks.
MetaSummary
- They share 23 benchmarks with published results for both. Claude Opus 4.5 scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4.5 leads 56.5 to 7.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 86.1% for Claude Opus 4.5 and 1.9% for Llama 3-8B.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.5 | Llama 3-8B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 50.5 | 25.5 |
| Released | 2025-11-01 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 69 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 54.8 (#27), Llama 3-8B: 31.0 (#289)
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1504 | 1152 |
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| LMArena WebDev | 1494 | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| WeirdML | 63.7% | — |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Claude Opus 4.5: 47.3 (#12), Llama 3-8B: —
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| 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: 42.6 (#51), Llama 3-8B: 14.3 (#326)
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| Chess Puzzles | 12% | 0% |
| LMArena Hard Prompts | 1476 | 1133 |
| DTBench | 89.9% | 43.9% |
| Epoch Capabilities Index | 150.09 | 116.45 |
| ForecastBench | 60.7 | 58.6 |
| 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% | — |
| Adversarial NLI | — | 57.3% |
| WinoGrande | — | 75.7% |
Math Claude Opus 4.5 leads
Claude Opus 4.5: 38.6 (#132), Llama 3-8B: 8.8 (#323)
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 86.1% | 1.9% |
| LMArena Math | 1463 | 1151 |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 36% | — |
| MATH Level 5 | — | 6.1% |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4.5 leads
Claude Opus 4.5: 56.5 (#44), Llama 3-8B: 7.8 (#308)
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 86% | 26.1% |
| LMArena Expert | 1487 | 1113 |
| Humanity's Last Exam | 25.2% | — |
| SimpleQA Verified | 45.7% | — |
| Vectara Hallucination Rate | 10.9% | — |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multimodal Not comparable
Claude Opus 4.5: 31.4 (#107), Llama 3-8B: —
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
Multilingual Claude Opus 4.5 leads
Claude Opus 4.5: 54.3 (#47), Llama 3-8B: 30.8 (#261)
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1438 | 1098 |
| LMArena Chinese | 1470 | 1076 |
| LMArena French | 1471 | 1159 |
| LMArena German | 1449 | 1104 |
| LMArena Japanese | 1416 | 967 |
| LMArena Korean | 1424 | 1004 |
| LMArena Russian | 1447 | 1109 |
| LMArena Spanish | 1458 | 1173 |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.5 (#19), Llama 3-8B: 58.4 (#260)
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1478 | 1127 |
Long Context Claude Opus 4.5 leads
Claude Opus 4.5: 46.5 (#22), Llama 3-8B: 34.2 (#251)
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1480 | 1128 |
| CL-bench | 21.1% | — |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.1 (#28), Llama 3-8B: 37.5 (#256)
| Benchmark | Claude Opus 4.5 | Llama 3-8B |
|---|---|---|
| LMArena Text | 1451 | 1166 |
| LMArena Creative Writing | 1445 | 1150 |
| LMArena Multi-Turn | 1466 | 1152 |
| EQ-Bench Creative Writing | 1687 | — |
Frequently asked questions
Is Claude Opus 4.5 better than Llama 3-8B?
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 25.5 on the Noometry Index.
Is Claude Opus 4.5 or Llama 3-8B better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 31.0 in the Noometry coding category.
How many benchmarks do Claude Opus 4.5 and Llama 3-8B share?
23 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Llama 3-8B has 34.