Model comparison
Gemma 4 31B vs Sakana Fugu-Ultra
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 31B #43 (Supported); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 31B and Sakana Fugu-Ultra share 2 comparable benchmark results. 3 of 8 categories are comparable. 27 results are unique to Gemma 4 31B; 9 to Sakana Fugu-Ultra.
Updated July 23, 2026- Shared results
- 2
- Gemma 4 31B only
- 27
- Sakana Fugu-Ultra only
- 9
- Comparable categories
- 3 / 8
Treat this as a split decision. Gemma 4 31B makes more sense if its workflow fits your team better; Sakana Fugu-Ultra is the better fit if knowledge is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemma 4 31B 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.
Sakana Fugu-Ultra gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.
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 | Gemma 4 31B | Δ | Sakana Fugu-Ultra |
|---|---|---|---|
| Knowledge | Gemma 4 31B52.9 | Margin→ 42.6 | Sakana Fugu-Ultra95.5 |
| Coding | Gemma 4 31B41.6 | Margin→ 22.9 | Sakana Fugu-Ultra64.5 |
| Multimodal | Gemma 4 31B76.9 | Margin→ 9.7 | Sakana Fugu-Ultra86.6 |
| Agentic | Gemma 4 31BNot measured | MarginNo overlap | Sakana Fugu-Ultra82.1 |
| Reasoning | Gemma 4 31BNot measured | MarginNo overlap | Sakana Fugu-Ultra93.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 84.3%B 95.5%Winner: Sakana Fugu-UltraΔ 11.2GPQA: Gemma 4 31B scored 84.3%; Sakana Fugu-Ultra scored 95.5%. Sakana Fugu-Ultra wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 31B | Sakana Fugu-Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 31B$0 input / $0 output | Sakana Fugu-UltraNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 31BNot available | Sakana Fugu-UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 31BNot available | Sakana Fugu-UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 31B256K | Sakana Fugu-Ultra1M | Sakana Fugu-Ultra lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Gemma 4 31B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| AA Agentic IndexSource | 14.4% | — | Not comparable |
| τ²-bench resultsSource | 59.9% | — | Not comparable |
| GDPval-AASource | 15.2% | — | Not comparable |
| GDPval-AASource | 804 | — | Not comparable |
| Gert LabsSource | 35.26% | — | Not comparable |
| AA EnterpriseOps-GymSource | 28.3% | — | Not comparable |
| AA ITBenchSource | 37.3% | — | Not comparable |
| AA Tau3 BankingSource | 15.1% | — | Not comparable |
| terminalBenchHardSource | 36.4% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 82.1% | Not comparable |
CodingSakana Fugu-Ultra wins9 benchmarks
| Benchmark | Gemma 4 31B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| SWE-RebenchSource | 41.6% | — | Not comparable |
| React Native EvalsSource | 75.2% | — | Not comparable |
| AA Coding IndexSource | 43.4% | — | Not comparable |
| AA-SciCodeSource | 43.4% | — | 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
KnowledgeSakana Fugu-Ultra wins12 benchmarks
| Benchmark | Gemma 4 31B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| GPQASource | 84.3% | 95.5% | Sakana Fugu-Ultra leads |
| MMLU-ProSource | 85.2% | — | Not comparable |
| HLESource | 26.5% | — | Not comparable |
| HLE w/o toolsSource | 19.5% | 50% | Sakana Fugu-Ultra leads |
| Artificial Analysis Intelligence IndexSource | 29.4% | — | Not comparable |
| AA-GPQA DiamondSource | 85.7% | — | Not comparable |
| AA-HLESource | 22.7% | — | Not comparable |
| AA-Omniscience IndexSource | -45.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 19.9% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 81.6% | — | Not comparable |
| AA Openness IndexSource | 38.9% | — | Not comparable |
| GPQA-DSource | — | 95.5% | Not comparable |
MultimodalSakana Fugu-Ultra wins3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 4 31B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.6% | — | Not comparable |
Frequently Asked Questions (4)
Which is better, Gemma 4 31B or Sakana Fugu-Ultra?
Gemma 4 31B 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 knowledge tasks, Gemma 4 31B or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 52.9. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Which is better for coding, Gemma 4 31B or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for coding in this comparison, averaging 64.5 versus 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
Which is better for multimodal and grounded tasks, Gemma 4 31B or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for multimodal and grounded tasks in this comparison, averaging 86.6 versus 76.9. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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