Model comparison
Gemini 3.6 Flash vs Sakana Fugu-Ultra
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Gemini 3.6 Flash and Sakana Fugu-Ultra share 0 comparable benchmark results. 1 of 8 categories are comparable. 19 results are unique to Gemini 3.6 Flash; 11 to Sakana Fugu-Ultra.
Updated July 21, 2026- Shared results
- 0
- Gemini 3.6 Flash only
- 19
- Sakana Fugu-Ultra only
- 11
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemini 3.6 Flash makes more sense if agentic is the priority; Sakana Fugu-Ultra is the better fit if its strengths line up with your actual workload.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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
Gemini 3.6 Flash and Sakana Fugu-Ultra 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.6 Flash | Sakana Fugu-Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.6 Flash$1.5 input / $7.5 output | Sakana Fugu-UltraNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3.6 FlashNot available | Sakana Fugu-UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.6 FlashNot available | Sakana Fugu-UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.6 Flash1M | Sakana Fugu-Ultra1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGemini 3.6 Flash wins8 benchmarks
| Benchmark | Gemini 3.6 Flash | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| OSWorld-VerifiedSource | 83% | — | Not comparable |
| GDPval-AASource | 1421 | — | Not comparable |
| AA Agentic IndexSource | 38.7% | — | Not comparable |
| GDPval-AASource | 46.1% | — | Not comparable |
| AA BriefcaseSource | 961 | — | Not comparable |
| AA Tau3 BankingSource | 24.5% | — | Not comparable |
| aaTerminalBench21Source | 77.5% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 82.1% | Not comparable |
Coding8 benchmarks
| Benchmark | Gemini 3.6 Flash | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| deepSweSource | 49% | — | Not comparable |
| AA Coding IndexSource | 69.2% | — | Not comparable |
| AA-SciCodeSource | 52.7% | — | Not comparable |
| SWE-bench ProSource | — | 73.7% | Not comparable |
| Terminal-Bench 2.0Source | — | 82.1% | Not comparable |
| LiveCodeBench v6Source | — | 93.2% | Not comparable |
| LiveCodeBench ProSource | — | 90.8% | Not comparable |
| SciCodeSource | — | 58.7% | Not comparable |
Reasoning3 benchmarks
Knowledge9 benchmarks
| Benchmark | Gemini 3.6 Flash | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.1% | — | Not comparable |
| AA-GPQA DiamondSource | 92.8% | — | Not comparable |
| AA-HLESource | 38.3% | — | Not comparable |
| AA-Omniscience IndexSource | 23.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 50.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 53.5% | — | Not comparable |
| GPQASource | — | 95.5% | Not comparable |
| GPQA-DSource | — | 95.5% | Not comparable |
| HLE w/o toolsSource | — | 50% | Not comparable |
Frequently Asked Questions (2)
Which is better, Gemini 3.6 Flash or Sakana Fugu-Ultra?
Gemini 3.6 Flash and Sakana Fugu-Ultra 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, Gemini 3.6 Flash or Sakana Fugu-Ultra?
Gemini 3.6 Flash has the edge for agentic tasks in this comparison, averaging 83 versus 82.1. Sakana Fugu-Ultra stays close enough that the answer can still flip depending on your workload.
Related Comparisons
Explore More
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.