MiMo-V2.5 vs SWE-1.7
Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
SWE-1.7 leads for most workloads.
- MiMo-V2.5 offers ~3.9× the context window — choose it for very long inputs.
Based on BenchLM composite scores, July 2026.
MiMo-V2.5
65
SWE-1.7
75
Pick SWE-1.7 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if you need the larger 1M context window.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | MiMo-V2.5 | Δ | SWE-1.7 |
|---|---|---|---|
| Agentic | 65.8 | → 15.7 | 81.5 |
| Coding | 56.1 | — | — |
| Multimodal | 79.0 | — | — |
Operational Comparison
MiMo-V2.5
SWE-1.7
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1M
256K
Quick Verdict
Pick SWE-1.7 if you want the stronger benchmark profile. MiMo-V2.5 only becomes the better choice if you need the larger 1M context window.
SWE-1.7 is clearly ahead on the provisional aggregate, 75 to 65. 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 65.8. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 65.8% to 81.5%.
MiMo-V2.5 gives you the larger context window at 1M, compared with 256K for SWE-1.7.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, MiMo-V2.5 or SWE-1.7?
SWE-1.7 is ahead on BenchLM's provisional leaderboard, 75 to 65. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 65.8% and 81.5%.
Which is better for agentic tasks, MiMo-V2.5 or SWE-1.7?
SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 65.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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