Model comparison
Inkling vs Sakana Fugu-Ultra
Head-to-head evidence from 7 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Inkling #17; Sakana Fugu-Ultra unranked
Evidence parity. Inkling and Sakana Fugu-Ultra share 7 comparable benchmark results. 4 of 8 categories are comparable. 9 results are unique to Inkling; 4 to Sakana Fugu-Ultra.
Updated July 15, 2026- Shared results
- 7
- Inkling only
- 9
- Sakana Fugu-Ultra only
- 4
- Comparable categories
- 4 / 8
Pick Sakana Fugu-Ultra if you want the stronger benchmark profile. Inkling only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 7 shared benchmark results across 4 evidence categories; 4 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 is clearly ahead on the provisional aggregate, 79 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Sakana Fugu-Ultra's sharpest advantage is in knowledge, where it averages 95.5 against 51.7. The single biggest benchmark swing on the page is SWE-bench Pro, 54.3% to 73.7%. Inkling does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Sakana Fugu-Ultra is the reasoning model in the pair, while Inkling 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.
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 | Inkling | Δ | Sakana Fugu-Ultra |
|---|---|---|---|
| Knowledge | Inkling51.7 | Margin→ 43.8 | Sakana Fugu-Ultra95.5 |
| Agentic | Inkling69.4 | Margin→ 12.7 | Sakana Fugu-Ultra82.1 |
| Multimodal | Inkling76.5 | Margin→ 10.1 | Sakana Fugu-Ultra86.6 |
| Coding | Inkling68.6 | Margin← 4.1 | Sakana Fugu-Ultra64.5 |
| Reasoning | InklingNot measured | MarginNo overlap | Sakana Fugu-Ultra93.6 |
| Math | Inkling97.1 | MarginNo overlap | Sakana Fugu-UltraNot measured |
| Inst. Following | Inkling79.8 | MarginNo overlap | Sakana Fugu-UltraNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Pro
CodingA 54.3%B 73.7%Winner: Sakana Fugu-UltraΔ 19.4SWE-bench Pro: Inkling scored 54.3%; Sakana Fugu-Ultra scored 73.7%. Sakana Fugu-Ultra wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 63.8%B 82.1%Winner: Sakana Fugu-UltraΔ 18.3Terminal-Bench 2.0: Inkling scored 63.8%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark. - Source ↗
GPQA
KnowledgeA 87.9%B 95.5%Winner: Sakana Fugu-UltraΔ 7.6GPQA: Inkling scored 87.9%; Sakana Fugu-Ultra scored 95.5%. Sakana Fugu-Ultra wins this benchmark. - Source ↗
CharXiv
MultimodalA 82%B 86.6%Winner: Sakana Fugu-UltraΔ 4.6CharXiv: Inkling scored 82%; Sakana Fugu-Ultra scored 86.6%. Sakana Fugu-Ultra wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Inkling | Sakana Fugu-Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Inkling$1.87 input / $4.68 output | Sakana Fugu-UltraNot available | A complete price comparison is not available. |
| Generation speedtokens per second | InklingNot available | Sakana Fugu-UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | InklingNot available | Sakana Fugu-UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Inkling1M | Sakana Fugu-Ultra1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticSakana Fugu-Ultra wins4 benchmarks
CodingInkling wins6 benchmarks
| Benchmark | Inkling | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.6% | — | Not comparable |
| SWE-bench ProSource | 54.3% | 73.7% | Sakana Fugu-Ultra leads |
| Terminal-Bench 2.0Source | 63.8% | 82.1% | Sakana Fugu-Ultra leads |
| LiveCodeBench v6Source | — | 93.2% | Not comparable |
| LiveCodeBench ProSource | — | 90.8% | Not comparable |
| SciCodeSource | — | 58.7% | Not comparable |
Reasoning1 benchmarks
| Benchmark | Inkling | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| MRCRv2Source | — | 93.6% | Not comparable |
KnowledgeSakana Fugu-Ultra wins4 benchmarks
Math1 benchmarks
| Benchmark | Inkling | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| AIME26Source | 97.1% | — | Not comparable |
MultimodalSakana Fugu-Ultra wins3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Inkling | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| IFBenchSource | 79.8% | — | Not comparable |
Frequently Asked Questions (5)
Which is better, Inkling or Sakana Fugu-Ultra?
Sakana Fugu-Ultra is ahead on BenchLM's provisional leaderboard, 79 to 69. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 54.3% and 73.7%.
Which is better for knowledge tasks, Inkling or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 51.7. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Which is better for coding, Inkling or Sakana Fugu-Ultra?
Inkling has the edge for coding in this comparison, averaging 68.6 versus 64.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Inkling or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 69.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Inkling or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for multimodal and grounded tasks in this comparison, averaging 86.6 versus 76.5. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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