Model comparison
GPT-5.4 nano vs SWE-1.7
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 nano #25 (Supported); SWE-1.7 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 nano and SWE-1.7 share 1 comparable benchmark result. 1 of 8 categories are comparable. 28 results are unique to GPT-5.4 nano; 3 to SWE-1.7.
Updated July 18, 2026- Shared results
- 1
- GPT-5.4 nano only
- 28
- SWE-1.7 only
- 3
- Comparable categories
- 1 / 8
Treat this as a split decision. GPT-5.4 nano makes more sense if you need the larger 400K context window; SWE-1.7 is the better fit if agentic is the priority.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.4 nano and SWE-1.7 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.
GPT-5.4 nano gives you the larger context window at 400K, compared with 256K for SWE-1.7.
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 | GPT-5.4 nano | Δ | SWE-1.7 |
|---|---|---|---|
| Agentic | GPT-5.4 nano42.9 | Margin→ 38.6 | SWE-1.781.5 |
| Knowledge | GPT-5.4 nano43.8 | MarginNo overlap | SWE-1.7Not measured |
| Math | GPT-5.4 nano21.0 | MarginNo overlap | SWE-1.7Not measured |
| Multimodal | GPT-5.4 nano66.1 | 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 46.3%B 81.5%Winner: SWE-1.7Δ 35.2Terminal-Bench 2.0: GPT-5.4 nano scored 46.3%; 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 | GPT-5.4 nano | SWE-1.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 nano$0.2 input / $1.25 output | SWE-1.7Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.4 nano191 tok/s | SWE-1.7Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 nano3.64 s | SWE-1.7Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 nano400K | SWE-1.7256K | GPT-5.4 nano lists the larger context window. |
Benchmark Deep Dive
AgenticSWE-1.7 wins9 benchmarks
| Benchmark | GPT-5.4 nano | SWE-1.7 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 46.3% | 81.5% | SWE-1.7 leads |
| OSWorld-VerifiedSource | 39% | — | Not comparable |
| MCP AtlasSource | 56.1% | — | Not comparable |
| ToolathlonSource | 35.5% | — | Not comparable |
| τ²-bench resultsSource | 76% | — | Not comparable |
| AA Agentic IndexSource | 27.5% | — | Not comparable |
| APEX-Agents-AASource | 24.9% | — | Not comparable |
| GDPval-AASource | 30.0% | — | Not comparable |
| GDPval-AASource | 1100 | — | Not comparable |
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GPT-5.4 nano | SWE-1.7 | Result |
|---|---|---|---|
| GPQASource | 82.8% | — | Not comparable |
| HLESource | 37.7% | — | Not comparable |
| HLE w/o toolsSource | 24.3% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 38.2% | — | Not comparable |
| AA-GPQA DiamondSource | 81.7% | — | Not comparable |
| AA-HLESource | 26.5% | — | Not comparable |
| AA-Omniscience IndexSource | -29.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 25.4% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 73.6% | — | Not comparable |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 nano | SWE-1.7 | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.9% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, GPT-5.4 nano or SWE-1.7?
GPT-5.4 nano and SWE-1.7 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 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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