Model comparison
Claude Sonnet 4.5 vs Llama 3.2 90B
Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 27.1 on the Noometry Index.
Last verified . 5 shared benchmarks.
MetaSummary
- They share 5 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 5 categories and Llama 3.2 90B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Sonnet 4.5 leads 48.4 to 21.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 77.8% for Claude Sonnet 4.5 and 2.6% for Llama 3.2 90B.
- Llama 3.2 90B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Llama 3.2 90B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 44.0 | 27.1 |
| Released | 2025-09-29 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 64K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 73 | 9 |
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Category by category
Coding Not comparable
Claude Sonnet 4.5: 47.8 (#54), Llama 3.2 90B: —
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| LMArena Coding | 1489 | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 38.1 (#30), Llama 3.2 90B: 29.7 (#73)
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| BALROG | — | 27.3% |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 26.9 (#113), Llama 3.2 90B: 20.9 (#207)
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| EnigmaEval | 6% | 0.4% |
| Epoch Capabilities Index | 146.84 | 125.5 |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 12% | — |
| EBR-Bench | 2.4% | — |
| LMArena Hard Prompts | 1462 | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| ForecastBench | 61.9 | — |
Math Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 31.9 (#190), Llama 3.2 90B: 10.4 (#302)
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 77.8% | 2.6% |
| MATH Level 5 | 97.7% | 39.4% |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| LMArena Math | 1448 | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 48.4 (#70), Llama 3.2 90B: 21.7 (#269)
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 82.3% | 41% |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
| LMArena Expert | 1483 | — |
| MMLU | — | 80.3% |
Multimodal Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 34.1 (#84), Llama 3.2 90B: 24.9 (#119)
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Not comparable
Claude Sonnet 4.5: 53.6 (#65), Llama 3.2 90B: —
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1425 | — |
| LMArena Chinese | 1459 | — |
| LMArena French | 1459 | — |
| LMArena German | 1427 | — |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
| LMArena Russian | 1436 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Not comparable
Claude Sonnet 4.5: 75.2 (#74), Llama 3.2 90B: —
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| IFEval | 85% | — |
| LMArena Instruction Following | 1459 | — |
Long Context Not comparable
Claude Sonnet 4.5: 45.2 (#45), Llama 3.2 90B: —
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1476 | — |
Writing & Preference Not comparable
Claude Sonnet 4.5: 66.7 (#33), Llama 3.2 90B: —
| Benchmark | Claude Sonnet 4.5 | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1439 | — |
| LMArena Creative Writing | 1442 | — |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
| LMArena Multi-Turn | 1465 | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Llama 3.2 90B?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 27.1 on the Noometry Index.
How many benchmarks do Claude Sonnet 4.5 and Llama 3.2 90B share?
5 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Llama 3.2 90B has 9.