Model comparison
Gemini 2.5 Flash-Lite vs Laguna M.1
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 21.1.
- Gemini 2.5 Flash-Lite 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-Lite | Laguna M.1 | |
|---|---|---|
| Provider | Poolside | |
| Noometry Index | 37.0 | 32.5 |
| Released | 2025-06-17 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 33 | 3 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Laguna M.1: 36.6 (#204)
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1349 |
| WeirdML | 35.2% | — |
| LMArena Coding | 1373 | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Too close to call
Gemini 2.5 Flash-Lite: 22.2 (#205), Laguna M.1: 23.1 (#184)
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | — |
| LMArena Hard Prompts | 1377 | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 133.94 | — |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Laguna M.1: 21.1 (#283)
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |
| Omni-MATH | 48% | — |
| LMArena Math | 1373 | — |
Knowledge Not comparable
Gemini 2.5 Flash-Lite: 32.5 (#210), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| LMArena Expert | 1373 | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Not comparable
Gemini 2.5 Flash-Lite: 49.3 (#134), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1369 | — |
| LMArena Chinese | 1404 | — |
| LMArena French | 1388 | — |
| LMArena German | 1389 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Not comparable
Gemini 2.5 Flash-Lite: 70.0 (#168), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| IFEval | 81% | — |
| LMArena Instruction Following | 1367 | — |
Long Context Not comparable
Gemini 2.5 Flash-Lite: 33.3 (#262), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 47.2% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Gemini 2.5 Flash-Lite: 56.8 (#135), Laguna M.1: —
| Benchmark | Gemini 2.5 Flash-Lite | Laguna M.1 |
|---|---|---|
| LMArena Text | 1379 | — |
| LMArena Creative Writing | 1367 | — |
| WildBench | 81.8% | — |
| LMArena Multi-Turn | 1366 | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Laguna M.1?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 32.5 on the Noometry Index.
Is Gemini 2.5 Flash-Lite or Laguna M.1 better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash-Lite and Laguna M.1 share?
0 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Laguna M.1 has 3.