Model comparison
Laguna M.1 vs SWE-1.7
Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Laguna M.1 and SWE-1.7 share 3 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to Laguna M.1; 1 to SWE-1.7.
Updated July 16, 2026- Shared results
- 3
- Laguna M.1 only
- 2
- SWE-1.7 only
- 1
- Comparable categories
- 1 / 8
Pick SWE-1.7 if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 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
SWE-1.7 is clearly ahead on the provisional aggregate, 74 to 52. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
SWE-1.7's sharpest advantage is in agentic, where it averages 81.5 against 45.8. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 45.8% to 81.5%.
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 | SWE-1.7 |
|---|---|---|---|
| Agentic | Laguna M.145.8 | Margin→ 35.7 | SWE-1.781.5 |
| Coding | Laguna M.164.8 | MarginNo overlap | SWE-1.7Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
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- Source ↗
Terminal-Bench 2.0
AgenticA 45.8%B 81.5%Winner: SWE-1.7Δ 35.7Terminal-Bench 2.0: Laguna M.1 scored 45.8%; SWE-1.7 scored 81.5%. SWE-1.7 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Laguna M.1 | SWE-1.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna M.1Not available | SWE-1.7Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Laguna M.1Not available | SWE-1.7Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna M.1Not available | SWE-1.7Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna M.1256K | SWE-1.7256K | Listed context windows are equal. |
Benchmark Deep Dive
AgenticSWE-1.7 wins1 benchmarks
| Benchmark | Laguna M.1 | SWE-1.7 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 45.8% | 81.5% | SWE-1.7 leads |
Frequently Asked Questions (2)
Which is better, Laguna M.1 or SWE-1.7?
SWE-1.7 is ahead on BenchLM's provisional leaderboard, 74 to 52. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 45.8% and 81.5%.
Which is better for agentic tasks, Laguna M.1 or SWE-1.7?
SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 45.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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