Model comparison
Laguna M.1 vs MAI-Thinking-1
Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Laguna M.1 and MAI-Thinking-1 share 4 comparable benchmark results. 2 of 8 categories are comparable. 1 result is unique to Laguna M.1; 9 to MAI-Thinking-1.
Updated July 23, 2026- Shared results
- 4
- Laguna M.1 only
- 1
- MAI-Thinking-1 only
- 9
- Comparable categories
- 2 / 8
Treat this as a split decision. Laguna M.1 makes more sense if its workflow fits your team better; MAI-Thinking-1 is the better fit if coding is the priority.
Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Laguna M.1 and MAI-Thinking-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.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Laguna M.1 | Δ | MAI-Thinking-1 |
|---|---|---|---|
| Coding | Laguna M.164.8 | Margin→ 0.7 | MAI-Thinking-165.5 |
| Agentic | Laguna M.145.8 | Margin→ 0.2 | MAI-Thinking-146.0 |
| Knowledge | Laguna M.1Not measured | MarginNo overlap | MAI-Thinking-172.5 |
| Math | Laguna M.1Not measured | MarginNo overlap | MAI-Thinking-189.7 |
| Inst. Following | Laguna M.1Not measured | MarginNo overlap | MAI-Thinking-185.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Pro
CodingA 49.2%B 52.8%Winner: MAI-Thinking-1Δ 3.6SWE-bench Pro: Laguna M.1 scored 49.2%; MAI-Thinking-1 scored 52.8%. MAI-Thinking-1 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 74.6%B 73.5%Winner: Laguna M.1Δ 1.1SWE-bench Verified: Laguna M.1 scored 74.6%; MAI-Thinking-1 scored 73.5%. Laguna M.1 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 45.8%B 46%Winner: MAI-Thinking-1Δ 0.2Terminal-Bench 2.0: Laguna M.1 scored 45.8%; MAI-Thinking-1 scored 46%. MAI-Thinking-1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Laguna M.1 | MAI-Thinking-1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna M.1Not available | MAI-Thinking-1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Laguna M.1Not available | MAI-Thinking-1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna M.1Not available | MAI-Thinking-1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna M.1256K | MAI-Thinking-1256K | Listed context windows are equal. |
Benchmark Deep Dive
AgenticMAI-Thinking-1 wins1 benchmarks
| Benchmark | Laguna M.1 | MAI-Thinking-1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 45.8% | 46% | MAI-Thinking-1 leads |
CodingMAI-Thinking-1 wins4 benchmarks
Reasoning1 benchmarks
| Benchmark | Laguna M.1 | MAI-Thinking-1 | Result |
|---|---|---|---|
| Graphwalks BFS 128KSource | — | 90% | Not comparable |
Knowledge4 benchmarks
Math3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Laguna M.1 | MAI-Thinking-1 | Result |
|---|---|---|---|
| IFBenchSource | — | 85% | Not comparable |
Frequently Asked Questions (3)
Which is better, Laguna M.1 or MAI-Thinking-1?
Laguna M.1 and MAI-Thinking-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, Laguna M.1 or MAI-Thinking-1?
MAI-Thinking-1 has the edge for coding in this comparison, averaging 65.5 versus 64.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Laguna M.1 or MAI-Thinking-1?
MAI-Thinking-1 has the edge for agentic tasks in this comparison, averaging 46 versus 45.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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