Model comparison
Gemma 4 31B vs Laguna M.1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 31B #47 (Supported); Laguna M.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 31B and Laguna M.1 share 0 comparable benchmark results. 1 of 8 categories are comparable. 30 results are unique to Gemma 4 31B; 5 to Laguna M.1.
Updated July 27, 2026- Shared results
- 0
- Gemma 4 31B only
- 30
- Laguna M.1 only
- 5
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemma 4 31B makes more sense if its workflow fits your team better; Laguna M.1 is the better fit if coding is the priority.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemma 4 31B and Laguna M.1 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 31B | Laguna M.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 31B$0 input / $0 output | Laguna M.1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 31BNot available | Laguna M.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 31BNot available | Laguna M.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 31B256K | Laguna M.1256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Gemma 4 31B | Laguna M.1 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 14.4% | — | Not comparable |
| τ²-bench resultsSource | 59.9% | — | Not comparable |
| GDPval-AASource | 15.5% | — | Not comparable |
| GDPval-AASource | 811 | — | Not comparable |
| Gert LabsSource | 35.26% | — | Not comparable |
| AA EnterpriseOps-GymSource | 28.3% | — | Not comparable |
| AA ITBenchSource | 37.3% | — | Not comparable |
| terminalBenchHardSource | 36.4% | — | Not comparable |
| AA Harvey LABSource | 47.2% | — | Not comparable |
| AA Tau3 BankingSource | 15.1% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 45.8% | Not comparable |
CodingLaguna M.1 wins8 benchmarks
| Benchmark | Gemma 4 31B | Laguna M.1 | Result |
|---|---|---|---|
| SWE-RebenchSource | 41.6% | — | Not comparable |
| React Native EvalsSource | 75.2% | — | Not comparable |
| AA Coding IndexSource | 43.4% | — | Not comparable |
| AA-SciCodeSource | 43.4% | — | Not comparable |
| SWE-bench VerifiedSource | — | 74.6% | Not comparable |
| SWE MultilingualSource | — | 63.1% | Not comparable |
| SWE-bench ProSource | — | 49.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 45.8% | Not comparable |
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | Gemma 4 31B | Laguna M.1 | Result |
|---|---|---|---|
| GPQASource | 84.3% | — | Not comparable |
| MMLU-ProSource | 85.2% | — | Not comparable |
| HLESource | 26.5% | — | Not comparable |
| HLE w/o toolsSource | 19.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 29.4% | — | Not comparable |
| AA-GPQA DiamondSource | 85.7% | — | Not comparable |
| AA-HLESource | 22.7% | — | Not comparable |
| AA-Omniscience IndexSource | -45.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 19.9% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 81.6% | — | Not comparable |
| AA Openness IndexSource | 38.9% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 4 31B | Laguna M.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.6% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Gemma 4 31B or Laguna M.1?
Gemma 4 31B and Laguna M.1 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for coding, Gemma 4 31B or Laguna M.1?
Laguna M.1 has the edge for coding in this comparison, averaging 64.8 versus 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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