Model comparison
Claude Sonnet 5 vs Llama2 70b Steerlm Chat
Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 31.2 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. Claude Sonnet 5 scores higher in 7 categories and Llama2 70b Steerlm Chat in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 5 leads 69.4 to 31.8.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5 | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 54.5 | 31.2 |
| Released | 2026-06-29 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 51 | 9 |
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Category by category
Coding Claude Sonnet 5 leads
Claude Sonnet 5: 55.5 (#20), Llama2 70b Steerlm Chat: 29.3 (#295)
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1483 | 1025 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| CursorBench | 34.1% | — |
| LMArena WebDev | 1540 | — |
| SciCode | 53.6% | — |
| GSO | 37.3% | — |
| WeirdML | 68.8% | — |
| ALE-Bench | 1,463 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 5: 42.7 (#16), Llama2 70b Steerlm Chat: —
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| APEX-Agents | 54.5% | — |
| GBAEval | 65.3% | — |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |
Reasoning Claude Sonnet 5 leads
Claude Sonnet 5: 48.2 (#37), Llama2 70b Steerlm Chat: 19.1 (#245)
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1047 |
| SimpleBench | 60.6% | — |
| NYT Connections (extended) | 75.1% | — |
| CritPt | 16.9% | — |
| Chess Puzzles | 35% | — |
| Mystery Game Puzzles | 35% | — |
| DTBench | 92.5% | — |
| LMCA | 50% | — |
| Surface Evolver Bench | 60% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 156.34 | — |
| ForecastBench | 61.1 | — |
Math Claude Sonnet 5 leads
Claude Sonnet 5: 66.1 (#21), Llama2 70b Steerlm Chat: 28.8 (#223)
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1467 | 1072 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 94.7% | — |
| ProofBench | 77% | — |
Knowledge Not comparable
Claude Sonnet 5: 55.7 (#42), Llama2 70b Steerlm Chat: —
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| GPQA Diamond | 90.5% | — |
| SimpleQA Verified | 33.7% | — |
| LMArena Expert | 1491 | — |
Multimodal Not comparable
Claude Sonnet 5: 42.4 (#26), Llama2 70b Steerlm Chat: —
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1275 | — |
| Blueprint-Bench 2 | 24.9% | — |
| LMArena Document | 1466 | — |
Multilingual Claude Sonnet 5 leads
Claude Sonnet 5: 54.0 (#55), Llama2 70b Steerlm Chat: 28.9 (#265)
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1431 | 1064 |
| LMArena Chinese | 1475 | — |
| LMArena French | 1457 | — |
| LMArena German | 1448 | — |
| LMArena Japanese | 1422 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1452 | — |
| LMArena Spanish | 1436 | — |
Instruction Following Claude Sonnet 5 leads
Claude Sonnet 5: 76.6 (#39), Llama2 70b Steerlm Chat: 54.5 (#274)
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1453 | 1061 |
Long Context Claude Sonnet 5 leads
Claude Sonnet 5: 44.8 (#53), Llama2 70b Steerlm Chat: 30.4 (#283)
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1464 | 998 |
Writing & Preference Claude Sonnet 5 leads
Claude Sonnet 5: 69.4 (#24), Llama2 70b Steerlm Chat: 31.8 (#278)
| Benchmark | Claude Sonnet 5 | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1443 | 1098 |
| LMArena Creative Writing | 1416 | 1091 |
| LMArena Multi-Turn | 1454 | 1058 |
| EQ-Bench Creative Writing | 1794 | — |
| EQ-Bench 4 | 1236 | — |
Frequently asked questions
Is Claude Sonnet 5 better than Llama2 70b Steerlm Chat?
Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 31.2 on the Noometry Index.
Is Claude Sonnet 5 or Llama2 70b Steerlm Chat better for coding?
Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 29.3 in the Noometry coding category.
How many benchmarks do Claude Sonnet 5 and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and Llama2 70b Steerlm Chat has 9.