Model comparison
Claude Sonnet 5.5 vs Llama 3-8B
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 25.5 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 8.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Sonnet 5.5 and 1.9% for Llama 3-8B.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5.5 | Llama 3-8B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 61.9 | 25.5 |
| Released | 2026-09-28 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 32 | 34 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 67.3 (#6), Llama 3-8B: 31.0 (#289)
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1513 | 1152 |
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| LMArena WebDev | 1774 | — |
| FrontierSWE | 61.9% | — |
| SciCode | 61% | — |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| ALE-Bench | 1,819 | — |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Claude Sonnet 5.5: 45.0 (#16), Llama 3-8B: —
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| APEX-Agents | 75.5% | — |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 54.0 (#28), Llama 3-8B: 14.3 (#326)
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1495 | 1133 |
| Epoch Capabilities Index | 165.03 | 116.45 |
| NYT Connections (extended) | 80.5% | — |
| CritPt | 31.4% | — |
| Chess Puzzles | — | 0% |
| Mystery Game Puzzles | 65% | — |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 87.9 (#6), Llama 3-8B: 8.8 (#323)
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 1.9% |
| LMArena Math | 1510 | 1151 |
| FrontierMath (Tiers 1-3) | 88.8% | — |
| FrontierMath Tier 4 | 80.5% | — |
| ProofBench | 100% | — |
| MATH Level 5 | — | 6.1% |
| FrontierMath Erdős | 2.9% | — |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#12), Llama 3-8B: 7.8 (#308)
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 95.6% | 26.1% |
| LMArena Expert | 1540 | 1113 |
| SimpleQA Verified | 46.5% | — |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multimodal Not comparable
Claude Sonnet 5.5: 51.5 (#6), Llama 3-8B: —
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| LMArena Vision | 1289 | — |
| Furniture Assembly | 75% | — |
Multilingual Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 55.3 (#30), Llama 3-8B: 30.8 (#261)
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1452 | 1098 |
| LMArena Chinese | 1522 | 1076 |
| LMArena Russian | 1451 | 1109 |
| LMArena French | — | 1159 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1004 |
| LMArena Spanish | — | 1173 |
Instruction Following Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 78.3 (#11), Llama 3-8B: 58.4 (#260)
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1495 | 1127 |
Long Context Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.9 (#28), Llama 3-8B: 34.2 (#251)
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1498 | 1128 |
Writing & Preference Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#40), Llama 3-8B: 37.5 (#256)
| Benchmark | Claude Sonnet 5.5 | Llama 3-8B |
|---|---|---|
| LMArena Text | 1471 | 1166 |
| LMArena Creative Writing | 1465 | 1150 |
| LMArena Multi-Turn | 1474 | 1152 |
Frequently asked questions
Is Claude Sonnet 5.5 better than Llama 3-8B?
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 25.5 on the Noometry Index.
Is Claude Sonnet 5.5 or Llama 3-8B better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 31.0 in the Noometry coding category.
How many benchmarks do Claude Sonnet 5.5 and Llama 3-8B share?
15 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and Llama 3-8B has 34.