Model comparison
Sakana Fugu-Ultra vs SWE-1.7
Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Sakana Fugu-Ultra and SWE-1.7 share 2 comparable benchmark results. 1 of 8 categories are comparable. 9 results are unique to Sakana Fugu-Ultra; 2 to SWE-1.7.
Updated July 23, 2026- Shared results
- 2
- Sakana Fugu-Ultra only
- 9
- SWE-1.7 only
- 2
- Comparable categories
- 1 / 8
Treat this as a split decision. Sakana Fugu-Ultra makes more sense if agentic is the priority or you need the larger 1M context window; SWE-1.7 is the better fit if its strengths line up with your actual workload.
Confidence note. This is a partial-evidence comparison with 2 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
Sakana Fugu-Ultra 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.
Sakana Fugu-Ultra gives you the larger context window at 1M, 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 | Sakana Fugu-Ultra | Δ | SWE-1.7 |
|---|---|---|---|
| Agentic | Sakana Fugu-Ultra82.1 | Margin← 0.6 | SWE-1.781.5 |
| Coding | Sakana Fugu-Ultra64.5 | MarginNo overlap | SWE-1.7Not measured |
| Reasoning | Sakana Fugu-Ultra93.6 | MarginNo overlap | SWE-1.7Not measured |
| Knowledge | Sakana Fugu-Ultra95.5 | MarginNo overlap | SWE-1.7Not measured |
| Multimodal | Sakana Fugu-Ultra86.6 | MarginNo overlap | SWE-1.7Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 82.1%B 81.5%Winner: Sakana Fugu-UltraΔ 0.6Terminal-Bench 2.0: Sakana Fugu-Ultra scored 82.1%; SWE-1.7 scored 81.5%. Sakana Fugu-Ultra wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Sakana Fugu-Ultra | SWE-1.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Sakana Fugu-UltraNot available | SWE-1.7Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Sakana Fugu-UltraNot available | SWE-1.7Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Sakana Fugu-UltraNot available | SWE-1.7Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Sakana Fugu-Ultra1M | SWE-1.7256K | Sakana Fugu-Ultra lists the larger context window. |
Benchmark Deep Dive
AgenticSakana Fugu-Ultra wins1 benchmarks
| Benchmark | Sakana Fugu-Ultra | SWE-1.7 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 82.1% | 81.5% | Sakana Fugu-Ultra leads |
Coding7 benchmarks
| Benchmark | Sakana Fugu-Ultra | SWE-1.7 | Result |
|---|---|---|---|
| SWE-bench ProSource | 73.7% | — | Not comparable |
| Terminal-Bench 2.0Source | 82.1% | 81.5% | Sakana Fugu-Ultra leads |
| LiveCodeBench v6Source | 93.2% | — | Not comparable |
| LiveCodeBench ProSource | 90.8% | — | Not comparable |
| SciCodeSource | 58.7% | — | Not comparable |
| FrontierCode 1.1 MainSource | — | 42.3% | Not comparable |
| SWE MultilingualSource | — | 77.8% | Not comparable |
Reasoning1 benchmarks
| Benchmark | Sakana Fugu-Ultra | SWE-1.7 | Result |
|---|---|---|---|
| MRCRv2Source | 93.6% | — | Not comparable |
Knowledge3 benchmarks
Multimodal1 benchmarks
| Benchmark | Sakana Fugu-Ultra | SWE-1.7 | Result |
|---|---|---|---|
| CharXivSource | 86.6% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Sakana Fugu-Ultra or SWE-1.7?
Sakana Fugu-Ultra 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, Sakana Fugu-Ultra or SWE-1.7?
Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 81.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Related Comparisons
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.