Model comparison
Claude Sonnet 4 vs Laguna M.1
Claude Sonnet 4 is the stronger model overall, scoring 40.6 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in math, where Claude Sonnet 4 leads 41.5 to 20.3.
- Laguna M.1 accepts more context: 262K tokens versus 200K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Laguna M.1 | |
|---|---|---|
| Provider | Anthropic | Poolside |
| Noometry Index | 40.6 | 31.9 |
| Released | 2025-05-22 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 64K | 33K |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 58 | 3 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 44.0 (#70), Laguna M.1: 36.4 (#195)
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| LMArena WebDev | — | 1348 |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| LMArena Coding | 1414 | — |
| ALE-Bench | 655.35 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4: 38.3 (#29), Laguna M.1: —
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |
Reasoning Claude Sonnet 4 leads
Claude Sonnet 4: 23.0 (#169), Laguna M.1: 21.9 (#187)
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 3.1% | — |
| LMArena Hard Prompts | 1372 | — |
| DTBench | 77.1% | — |
| LMCA | 29% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 141.69 | — |
| ForecastBench | 60.2 | — |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 41.5 (#71), Laguna M.1: 20.3 (#276)
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| ProofBench | — | 0% |
| Omni-MATH | 60.2% | — |
| LMArena Math | 1375 | — |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Not comparable
Claude Sonnet 4: 41.6 (#99), Laguna M.1: —
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 79.2% | — |
| Humanity's Last Exam | 7.8% | — |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |
| LMArena Expert | 1371 | — |
Multimodal Not comparable
Claude Sonnet 4: 25.6 (#116), Laguna M.1: —
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Not comparable
Claude Sonnet 4: 46.9 (#151), Laguna M.1: —
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1333 | — |
| LMArena Chinese | 1351 | — |
| LMArena French | 1364 | — |
| LMArena German | 1331 | — |
| LMArena Japanese | 1301 | — |
| LMArena Korean | 1293 | — |
| LMArena Russian | 1355 | — |
| LMArena Spanish | 1356 | — |
Instruction Following Not comparable
Claude Sonnet 4: 71.8 (#141), Laguna M.1: —
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| IFEval | 84% | — |
| LMArena Instruction Following | 1375 | — |
Long Context Not comparable
Claude Sonnet 4: 33.6 (#254), Laguna M.1: —
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 46.9% | — |
| LMArena Longer Query | 1398 | — |
Writing & Preference Not comparable
Claude Sonnet 4: 57.3 (#127), Laguna M.1: —
| Benchmark | Claude Sonnet 4 | Laguna M.1 |
|---|---|---|
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1345 | — |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1376 | — |
Frequently asked questions
Is Claude Sonnet 4 better than Laguna M.1?
Claude Sonnet 4 is the stronger model overall, scoring 40.6 to 31.9 on the Noometry Index.
Is Claude Sonnet 4 or Laguna M.1 better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 44.0 versus 36.4 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 200K.
How many benchmarks do Claude Sonnet 4 and Laguna M.1 share?
0 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Laguna M.1 has 3.