Kimi K2.5 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.
Based on BenchLM composite scores, July 2026.
Kimi K2.5
63
SWE-1.7
75
Verified leaderboard positions: Kimi K2.5 #26 · SWE-1.7 unranked
Pick SWE-1.7 if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | Kimi K2.5 | Δ | SWE-1.7 |
|---|---|---|---|
| Agentic | 55.0 | → 26.5 | 81.5 |
| Coding | 65.5 | — | — |
| Reasoning | 61.0 | — | — |
| Knowledge | 57.2 | — | — |
| Math | 91.4 | — | — |
| Multilingual | 82.3 | — | — |
| Multimodal | 78.5 | — | — |
| Inst. Following | 93.9 | — | — |
Operational Comparison
Kimi K2.5
SWE-1.7
$0.6 / $3
N/A
45 t/s
N/A
2.38s
N/A
256K
256K
Quick Verdict
Pick SWE-1.7 if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
SWE-1.7 is clearly ahead on the provisional aggregate, 75 to 63. 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 55. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 81.5%.
SWE-1.7 is the reasoning model in the pair, while Kimi K2.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, Kimi K2.5 or SWE-1.7?
SWE-1.7 is ahead on BenchLM's provisional leaderboard, 75 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 81.5%.
Which is better for agentic tasks, Kimi K2.5 or SWE-1.7?
SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 55. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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