Model comparison
Gemini 2.5 Flash vs Laguna M.1
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
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PoolsideSummary
- The widest gap is in math, where Gemini 2.5 Flash leads 39.9 to 21.1.
- Gemini 2.5 Flash 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 Flash | Laguna M.1 | |
|---|---|---|
| Provider | Poolside | |
| Noometry Index | 39.3 | 32.5 |
| Released | 2025-04-17 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 54 | 3 |
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Category by category
Coding Too close to call
Gemini 2.5 Flash: 35.8 (#220), Laguna M.1: 36.6 (#204)
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| LMArena WebDev | — | 1349 |
| WeirdML | 41.9% | — |
| LMArena Coding | 1424 | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Laguna M.1 leads
Gemini 2.5 Flash: 18.1 (#286), Laguna M.1: 23.1 (#184)
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| LMArena Hard Prompts | 1422 | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Laguna M.1: 21.1 (#283)
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| ProofBench | — | 0% |
| Omni-MATH | 38.5% | — |
| LMArena Math | 1415 | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Gemini 2.5 Flash: 36.4 (#168), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
| LMArena Expert | 1426 | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Not comparable
Gemini 2.5 Flash: 52.3 (#88), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1409 | — |
| LMArena Chinese | 1450 | — |
| LMArena French | 1433 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1385 | — |
| LMArena Russian | 1415 | — |
| LMArena Spanish | 1421 | — |
Instruction Following Not comparable
Gemini 2.5 Flash: 75.7 (#54), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| IFEval | 89.8% | — |
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
Gemini 2.5 Flash: 47.5 (#17), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 77.8% | — |
| LMArena Longer Query | 1419 | — |
Writing & Preference Not comparable
Gemini 2.5 Flash: 53.8 (#157), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash | Laguna M.1 |
|---|---|---|
| LMArena Text | 1417 | — |
| LMArena Creative Writing | 1400 | — |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
| LMArena Multi-Turn | 1408 | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Laguna M.1?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 32.5 on the Noometry Index.
Is Gemini 2.5 Flash or Laguna M.1 better for coding?
They score almost the same on coding (35.8 vs 36.6); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash and Laguna M.1 share?
0 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Laguna M.1 has 3.