Model comparison
Gemini 2.5 Pro vs Laguna M.1
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 32.5 on the Noometry Index.
Last verified . 1 shared benchmarks.
Google
PoolsideSummary
- They share 1 benchmark with published results for both. Gemini 2.5 Pro 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 Gemini 2.5 Pro leads 32.5 to 21.1.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 262K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Laguna M.1 | |
|---|---|---|
| Provider | Poolside | |
| Noometry Index | 45.0 | 32.5 |
| Released | 2025-03-25 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 33K |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 78 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Laguna M.1: 36.6 (#204)
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| LMArena WebDev | 1227 | 1349 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| LMArena Coding | 1452 | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), Laguna M.1: —
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), Laguna M.1: 23.1 (#184)
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LMArena Hard Prompts | 1455 | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), Laguna M.1: 21.1 (#283)
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| ProofBench | — | 0% |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| LMArena Math | 1450 | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Gemini 2.5 Pro: 56.0 (#46), Laguna M.1: —
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Laguna M.1: —
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Not comparable
Gemini 2.5 Pro: 55.3 (#31), Laguna M.1: —
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1451 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1472 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1461 | — |
| LMArena Korean | 1434 | — |
| LMArena Russian | 1461 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
Gemini 2.5 Pro: 75.0 (#75), Laguna M.1: —
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
| LMArena Instruction Following | 1437 | — |
Long Context Not comparable
Gemini 2.5 Pro: 59.8 (#5), Laguna M.1: —
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 91.7% | — |
| LMArena Longer Query | 1449 | — |
Writing & Preference Not comparable
Gemini 2.5 Pro: 63.7 (#62), Laguna M.1: —
| Benchmark | Gemini 2.5 Pro | Laguna M.1 |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1454 | — |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LMArena Multi-Turn | 1453 | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Laguna M.1?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 32.5 on the Noometry Index.
Is Gemini 2.5 Pro or Laguna M.1 better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Pro and Laguna M.1 share?
1 benchmark has published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Laguna M.1 has 3.