GPT-5.4 nano 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.
GPT-5.4 nano
62
SWE-1.7
75
Pick SWE-1.7 if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if you need the larger 400K context window.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GPT-5.4 nano | Δ | SWE-1.7 |
|---|---|---|---|
| Agentic | 42.9 | → 38.6 | 81.5 |
| Knowledge | 43.8 | — | — |
| Multimodal | 66.1 | — | — |
Operational Comparison
GPT-5.4 nano
SWE-1.7
$0.2 / $1.25
N/A
191 t/s
N/A
3.64s
N/A
400K
256K
Quick Verdict
Pick SWE-1.7 if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if you need the larger 400K context window.
SWE-1.7 is clearly ahead on the provisional aggregate, 75 to 62. 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 42.9. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 46.3% to 81.5%.
GPT-5.4 nano gives you the larger context window at 400K, compared with 256K for SWE-1.7.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, GPT-5.4 nano or SWE-1.7?
SWE-1.7 is ahead on BenchLM's provisional leaderboard, 75 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 46.3% and 81.5%.
Which is better for agentic tasks, GPT-5.4 nano or SWE-1.7?
SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 42.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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