# Laguna M.1 vs Qwen3.7 Max

> Side-by-side benchmark comparison for Laguna M.1 and Qwen3.7 Max across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/laguna-m-1-vs-qwen3-7-max
- Last updated: October 2, 2026

- Shared sourced benchmarks: 10
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Pick Qwen3.7 Max if you want the stronger benchmark profile. Laguna M.1 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- Qwen3.7 Max leads overall 63.46 to 36.
- The clearest category separation is in coding, where the averages are 28.4 for Laguna M.1 and 45.4 for Qwen3.7 Max.
- The biggest single benchmark swing is GPQA Diamond (Vals) in Knowledge, with scores of 27.0% and 90.2%.
- Qwen3.7 Max also has the larger context window at 1M.

## Model Snapshot

| Property | Laguna M.1 | Qwen3.7 Max |
|----------|----------|----------|
| Creator | Poolside | Alibaba |
| Type | Proprietary | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 256K | 1M |
| Overall Score | null | 63.46 |
| Benchmarks Covered | 10 | 41 |
| Pricing (input/output) | Pricing unavailable / Pricing unavailable | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Not comparable
- Laguna M.1 public-lane score: Coming soon
- Qwen3.7 Max public-lane score: 39.3 (Supported · #60/119)

| Benchmark | Laguna M.1 | Qwen3.7 Max | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 45.8% | 69.7% | Qwen3.7 Max |
| Terminal-Bench 2.1 (Vals) | 34.1% | 61.0% | Qwen3.7 Max |
| QwenClawBench | Coming soon | 64.3% | Coming soon |
| Claw-Eval | Coming soon | 65.2% | Coming soon |
| BFCL v4 | Coming soon | 75.0% | Coming soon |
| MCP Atlas | Coming soon | 76.4% | Coming soon |
| VITA-Bench | Coming soon | 47.9% | Coming soon |
| HLE w/ tools | Coming soon | 53.5% | Coming soon |
| Gert Labs | Coming soon | 64.27% | Coming soon |
| ResearchClawBench | Coming soon | 18.7% | Coming soon |

### Coding

- Winner: Qwen3.7 Max
- Laguna M.1 public-lane score: 28.4 (Supported · #98/144)
- Qwen3.7 Max public-lane score: 45.4 (Supported · #54/144)

| Benchmark | Laguna M.1 | Qwen3.7 Max | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 74.6% | 80.4% | Qwen3.7 Max |
| SWE Multilingual | 63.1% | 78.3% | Qwen3.7 Max |
| SWE-bench Pro | 49.2% | 60.6% | Qwen3.7 Max |
| Terminal-Bench 2.0 | 45.8% | 69.7% | Qwen3.7 Max |
| LiveCodeBench (Vals) | 68.1% | 87.1% | Qwen3.7 Max |
| SWE-bench (Vals) | 57.6% | 68.8% | Qwen3.7 Max |
| NL2Repo | Coming soon | 47.2% | Coming soon |
| SciCode | Coming soon | 53.5% | Coming soon |
| LiveCodeBench | Coming soon | 91.6% | Coming soon |
| OpenHarmony Bench | Coming soon | 53.4% | Coming soon |

### Reasoning

- Winner: Not comparable
- Laguna M.1 public-lane score: Coming soon
- Qwen3.7 Max public-lane score: 76.3 (Unranked · 3 rankable rows)

| Benchmark | Laguna M.1 | Qwen3.7 Max | Winner |
|-----------|-----------|-----------|--------|
| MRCRv2 | Coming soon | 90.4% | Coming soon |
| CritPt | Coming soon | 13.4% | Coming soon |

### Knowledge

- Winner: Not comparable
- Laguna M.1 public-lane score: Coming soon
- Qwen3.7 Max public-lane score: 59.8 (Supported · #41/171)

| Benchmark | Laguna M.1 | Qwen3.7 Max | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 27.0% | 90.2% | Qwen3.7 Max |
| MMLU-Pro (Vals) | 68.8% | 89.3% | Qwen3.7 Max |
| GPQA | Coming soon | 92.4% | Coming soon |
| GPQA-D | Coming soon | 92.4% | Coming soon |
| HLE | Coming soon | 41.4% | Coming soon |
| MMLU-Pro | Coming soon | 89.6% | Coming soon |
| MMLU-Redux | Coming soon | 95% | Coming soon |
| SuperGPQA | Coming soon | 73.6% | Coming soon |
| MMMLU | Coming soon | 90.3% | Coming soon |

### Multilingual

- Winner: Not comparable
- Laguna M.1 public-lane score: Coming soon
- Qwen3.7 Max public-lane score: 100 (#1/16)

| Benchmark | Laguna M.1 | Qwen3.7 Max | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | Coming soon | 87% | Coming soon |
| NOVA-63 | Coming soon | 59.0% | Coming soon |
| INCLUDE | Coming soon | 86.2% | Coming soon |
| MAXIFE | Coming soon | 89.2% | Coming soon |
| PolyMath | Coming soon | 86.5% | Coming soon |

### Instruction Following

- Winner: Not comparable
- Laguna M.1 public-lane score: Coming soon
- Qwen3.7 Max public-lane score: 89.2 (#17/125)

| Benchmark | Laguna M.1 | Qwen3.7 Max | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 94.3% | Coming soon |
| IFBench | Coming soon | 79.1% | Coming soon |

### Mathematics

- Winner: Not comparable
- Laguna M.1 public-lane score: Coming soon
- Qwen3.7 Max public-lane score: 81.9 (Unranked · 3 rankable rows)

| Benchmark | Laguna M.1 | Qwen3.7 Max | Winner |
|-----------|-----------|-----------|--------|
| HMMT Feb 2026 | Coming soon | 97.1% | Coming soon |
| IMOAnswerBench | Coming soon | 90.0% | Coming soon |
| Apex | Coming soon | 44.5% | Coming soon |

## FAQ

### Which is better overall, Laguna M.1 or Qwen3.7 Max?

Qwen3.7 Max is ahead overall on BenchLM right now.

### Where is the biggest gap between Laguna M.1 and Qwen3.7 Max?

The widest category gap is in coding, where the averages are 28.4 for Laguna M.1 and 45.4 for Qwen3.7 Max.

### How many benchmarks does Laguna M.1 cover on BenchLM?

Laguna M.1 currently has 10 sourced benchmark scores on BenchLM.

### How many benchmarks does Qwen3.7 Max cover on BenchLM?

Qwen3.7 Max currently has 41 sourced benchmark scores on BenchLM.

## Related Comparisons

- [Laguna M.1 vs Laguna S 2.1](/compare/laguna-m-1-vs-laguna-s-2-1)
- [Qwen3.7 Max vs Laguna S 2.1](/compare/laguna-s-2-1-vs-qwen3-7-max)
- [Laguna M.1 vs Laguna XS.2](/compare/laguna-m-1-vs-laguna-xs-2)
- [Qwen3.7 Max vs Laguna XS.2](/compare/laguna-xs-2-vs-qwen3-7-max)

## Explore More

- [Laguna M.1 profile](/models/laguna-m-1)
- [Qwen3.7 Max profile](/models/qwen3-7-max)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
