Model comparison
Claude Sonnet 4.5 vs Laguna M.1
Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 31.9 on the Noometry Index.
Last verified . 2 shared benchmarks.
PoolsideSummary
- They share 2 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 3 categories and Laguna M.1 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 4.5 leads 31.9 to 20.3.
- The biggest single-benchmark swing is ProofBench: 19% for Claude Sonnet 4.5 and 0% for Laguna M.1.
- Claude Sonnet 4.5 accepts more context: 1M tokens versus 262K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Laguna M.1 | |
|---|---|---|
| Provider | Anthropic | Poolside |
| Noometry Index | 44.0 | 31.9 |
| Released | 2025-09-29 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 64K | 33K |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 73 | 3 |
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Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.8 (#54), Laguna M.1: 36.4 (#195)
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| LMArena WebDev | 1393 | 1348 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| 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 Not comparable
Claude Sonnet 4.5: 38.1 (#30), Laguna M.1: —
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| 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 (#113), Laguna M.1: 21.9 (#187)
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| 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% | — |
| LMArena Hard Prompts | 1462 | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 31.9 (#190), Laguna M.1: 20.3 (#276)
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| ProofBench | 19% | 0% |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| Omni-MATH | 55.3% | — |
| LMArena Math | 1448 | — |
| 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 (#70), Laguna M.1: —
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| 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 | 1483 | — |
Multimodal Not comparable
Claude Sonnet 4.5: 34.1 (#84), Laguna M.1: —
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Not comparable
Claude Sonnet 4.5: 53.6 (#65), Laguna M.1: —
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| 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), Laguna M.1: —
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| IFEval | 85% | — |
| LMArena Instruction Following | 1459 | — |
Long Context Not comparable
Claude Sonnet 4.5: 45.2 (#45), Laguna M.1: —
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1476 | — |
Writing & Preference Not comparable
Claude Sonnet 4.5: 66.7 (#33), Laguna M.1: —
| Benchmark | Claude Sonnet 4.5 | Laguna M.1 |
|---|---|---|
| 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 Laguna M.1?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 31.9 on the Noometry Index.
Is Claude Sonnet 4.5 or Laguna M.1 better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.8 versus 36.4 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.5 does, with 1M tokens against 262K.
How many benchmarks do Claude Sonnet 4.5 and Laguna M.1 share?
2 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Laguna M.1 has 3.