Model comparison
Gemini 3.8 Flash vs Laguna M.1
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 32.5 on the Noometry Index.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 3 categories and Laguna M.1 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 23.1.
- The biggest single-benchmark swing is Surface Evolver Bench: 76.9% for Gemini 3.8 Flash and 15.6% for Laguna M.1.
- Gemini 3.8 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 3.8 Flash | Laguna M.1 | |
|---|---|---|
| Provider | Poolside | |
| Noometry Index | 61.8 | 32.5 |
| Released | 2026-09-02 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 33K |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $3.75 | — |
| Results tracked | 50 | 3 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), Laguna M.1: 36.6 (#204)
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| LMArena WebDev | 1584 | 1349 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| WeirdML | 84.8% | — |
| LMArena Coding | 1510 | — |
| ALE-Bench | 1,270 | — |
Agentic & Tool Use Not comparable
Gemini 3.8 Flash: 41.8 (#21), Laguna M.1: —
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Remote Labor Index | 5.8% | — |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), Laguna M.1: 23.1 (#184)
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| Surface Evolver Bench | 76.9% | 15.6% |
| ARC-AGI-2 | 89.2% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| LMArena Hard Prompts | 1508 | — |
| Mystery Game Puzzles | 47% | — |
| DTBench | 95.7% | — |
| LMCA | 52.9% | — |
| Epoch Capabilities Index | 156.71 | — |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), Laguna M.1: 21.1 (#283)
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| ProofBench | 48% | 0% |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| LMArena Math | 1528 | — |
Knowledge Not comparable
Gemini 3.8 Flash: 74.8 (#2), Laguna M.1: —
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 95.4% | — |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| LMArena Expert | 1524 | — |
Multimodal Not comparable
Gemini 3.8 Flash: 40.7 (#45), Laguna M.1: —
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1314 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Not comparable
Gemini 3.8 Flash: 58.0 (#5), Laguna M.1: —
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1491 | — |
| LMArena Chinese | 1554 | — |
| LMArena French | 1498 | — |
| LMArena German | 1493 | — |
| LMArena Japanese | 1502 | — |
| LMArena Korean | 1459 | — |
| LMArena Russian | 1515 | — |
| LMArena Spanish | 1485 | — |
Instruction Following Not comparable
Gemini 3.8 Flash: 78.0 (#13), Laguna M.1: —
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| LMArena Instruction Following | 1490 | — |
Long Context Not comparable
Gemini 3.8 Flash: 46.3 (#24), Laguna M.1: —
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1508 | — |
Writing & Preference Not comparable
Gemini 3.8 Flash: 72.2 (#15), Laguna M.1: —
| Benchmark | Gemini 3.8 Flash | Laguna M.1 |
|---|---|---|
| LMArena Text | 1499 | — |
| LMArena Creative Writing | 1492 | — |
| EQ-Bench Creative Writing | 1748 | — |
| LMArena Multi-Turn | 1501 | — |
Frequently asked questions
Is Gemini 3.8 Flash better than Laguna M.1?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 32.5 on the Noometry Index.
Is Gemini 3.8 Flash or Laguna M.1 better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.8 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.8 Flash and Laguna M.1 share?
3 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Laguna M.1 has 3.