Model comparison
Gemini 1.5 Pro 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.
Public leaderboard positions: Gemini 1.5 Pro #185 (Supported); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 1.5 Pro and Sakana Fugu-Ultra share 0 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Gemini 1.5 Pro; 11 to Sakana Fugu-Ultra.
Updated July 23, 2026- Shared results
- 0
- Gemini 1.5 Pro only
- 6
- Sakana Fugu-Ultra only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Gemini 1.5 Pro and Sakana Fugu-Ultra is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Gemini 1.5 Pro has the larger context window at 2M, compared with 1M for Sakana Fugu-Ultra.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 1.5 Pro | Sakana Fugu-Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 1.5 Pro$1.25 input / $5 output | Sakana Fugu-UltraNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 1.5 ProNot available | Sakana Fugu-UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 1.5 ProNot available | Sakana Fugu-UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 1.5 Pro2M | Sakana Fugu-Ultra1M | Gemini 1.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Gemini 1.5 Pro | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 82.1% | Not comparable |
Coding7 benchmarks
| Benchmark | Gemini 1.5 Pro | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| AA Coding IndexSource | 23.6% | — | Not comparable |
| AA-SciCodeSource | 29.5% | — | 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 |
Reasoning1 benchmarks
| Benchmark | Gemini 1.5 Pro | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| MRCRv2Source | — | 93.6% | Not comparable |
Knowledge6 benchmarks
Frequently Asked Questions (3)
Can I compare Gemini 1.5 Pro and Sakana Fugu-Ultra on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Gemini 1.5 Pro and Sakana Fugu-Ultra today?
Gemini 1.5 Pro: $1.25 input / $5.00 output per 1M tokens Sakana Fugu-Ultra: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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.