Model comparison
Claude Sonnet 4.5 vs Llama2 70b Steerlm Chat
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 7 categories and Llama2 70b Steerlm Chat in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.5 leads 66.5 to 31.6.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 44.1 | 31.8 |
| Released | 2025-09-29 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 73 | 9 |
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Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.3 (#61), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1489 | 1025 |
| 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% | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.5: 38.3 (#32), Llama2 70b Steerlm Chat: —
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| 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% | — |
| 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 (#125), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1462 | 1047 |
| 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% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math Too close to call
Claude Sonnet 4.5: 32.3 (#216), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1449 | 1072 |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Claude Sonnet 4.5: 48.4 (#76), Llama2 70b Steerlm Chat: —
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
| LMArena Expert | 1482 | — |
Multimodal Not comparable
Claude Sonnet 4.5: 34.8 (#89), Llama2 70b Steerlm Chat: —
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 53.4 (#69), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1425 | 1063 |
| LMArena Chinese | 1459 | — |
| LMArena French | 1458 | — |
| LMArena German | 1427 | — |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
| LMArena Russian | 1437 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 75.0 (#78), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1459 | 1060 |
| IFEval | 85% | — |
Long Context Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 45.2 (#46), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1476 | 998 |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | Claude Sonnet 4.5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1439 | 1098 |
| LMArena Creative Writing | 1442 | 1091 |
| LMArena Multi-Turn | 1465 | 1058 |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Llama2 70b Steerlm Chat?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 31.8 on the Noometry Index.
Is Claude Sonnet 4.5 or Llama2 70b Steerlm Chat better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 29.9 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.5 and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Llama2 70b Steerlm Chat has 9.