Model comparison
Gemma 3 27B vs Laguna M.1
Laguna M.1 is the stronger model overall, scoring 32.5 to 30.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Google
PoolsideSummary
- The widest gap is in coding, where Laguna M.1 leads 36.6 to 22.5.
- Laguna M.1 accepts more context: 262K tokens versus 131K.
Side by side
| Gemma 3 27B | Laguna M.1 | |
|---|---|---|
| Provider | Poolside | |
| Noometry Index | 30.8 | 32.5 |
| Released | 2025-03-11 | 2026-04-28 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 8K | 33K |
| Input $ / M tokens | $0.08 | — |
| Output $ / M tokens | $0.16 | — |
| Results tracked | 43 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Laguna M.1 leads
Gemma 3 27B: 22.5 (#334), Laguna M.1: 36.6 (#204)
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| Aider Polyglot | 4.9% | — |
| LMArena WebDev | — | 1349 |
| SciCode | 21.2% | — |
| LiveBench Coding | 39.9% | — |
| LMArena Coding | 1322 | — |
Agentic & Tool Use Not comparable
Gemma 3 27B: 25.1 (#110), Laguna M.1: —
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
Reasoning Laguna M.1 leads
Gemma 3 27B: 16.7 (#301), Laguna M.1: 23.1 (#184)
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | — |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 43.8% | — |
| LMArena Hard Prompts | 1340 | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 130.04 | — |
| LiveBench | 50% | — |
Math Gemma 3 27B leads
Gemma 3 27B: 25.9 (#265), Laguna M.1: 21.1 (#283)
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | — |
| ProofBench | — | 0% |
| LiveBench Math | 55.4% | — |
| LMArena Math | 1312 | — |
| MATH Level 5 | 74% | — |
Knowledge Not comparable
Gemma 3 27B: 25.5 (#261), Laguna M.1: —
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 47.7% | — |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1304 | — |
Multimodal Not comparable
Gemma 3 27B: 32.6 (#100), Laguna M.1: —
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1164 | — |
| GeoBench | 52% | — |
Multilingual Not comparable
Gemma 3 27B: 46.9 (#155), Laguna M.1: —
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1334 | — |
| LMArena Chinese | 1346 | — |
| LMArena French | 1368 | — |
| LMArena German | 1362 | — |
| LMArena Japanese | 1287 | — |
| LMArena Korean | 1308 | — |
| LMArena Russian | 1349 | — |
| LMArena Spanish | 1349 | — |
Instruction Following Not comparable
Gemma 3 27B: 70.6 (#160), Laguna M.1: —
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| LiveBench Instruction Following | 74.9% | — |
| LMArena Instruction Following | 1321 | — |
Long Context Not comparable
Gemma 3 27B: 27.6 (#293), Laguna M.1: —
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| Fiction.LiveBench | 33.3% | — |
| LMArena Longer Query | 1333 | — |
Writing & Preference Not comparable
Gemma 3 27B: 52.5 (#168), Laguna M.1: —
| Benchmark | Gemma 3 27B | Laguna M.1 |
|---|---|---|
| LMArena Text | 1358 | — |
| LMArena Creative Writing | 1346 | — |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench Creative Writing | 1266 | — |
| LMArena Multi-Turn | 1345 | — |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than Laguna M.1?
Laguna M.1 is the stronger model overall, scoring 32.5 to 30.8 on the Noometry Index.
Is Gemma 3 27B or Laguna M.1 better for coding?
Laguna M.1 scores higher on coding benchmarks: 36.6 versus 22.5 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 131K.
How many benchmarks do Gemma 3 27B and Laguna M.1 share?
0 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and Laguna M.1 has 3.