Model comparison
Qwen3.6-35B-A3B vs Sakana Fugu-Ultra
Head-to-head evidence from 5 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Qwen3.6-35B-A3B #104 (Estimated); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.6-35B-A3B and Sakana Fugu-Ultra share 5 comparable benchmark results. 4 of 8 categories are comparable. 52 results are unique to Qwen3.6-35B-A3B; 6 to Sakana Fugu-Ultra.
Updated July 23, 2026- Shared results
- 5
- Qwen3.6-35B-A3B only
- 52
- Sakana Fugu-Ultra only
- 6
- Comparable categories
- 4 / 8
Treat this as a split decision. Qwen3.6-35B-A3B makes more sense if coding is the priority; 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 5 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
Qwen3.6-35B-A3B 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 262K for Qwen3.6-35B-A3B.
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 | Qwen3.6-35B-A3B | Δ | Sakana Fugu-Ultra |
|---|---|---|---|
| Knowledge | Qwen3.6-35B-A3B51.4 | Margin→ 44.1 | Sakana Fugu-Ultra95.5 |
| Agentic | Qwen3.6-35B-A3B51.5 | Margin→ 30.6 | Sakana Fugu-Ultra82.1 |
| Multimodal | Qwen3.6-35B-A3B76.3 | Margin→ 10.3 | Sakana Fugu-Ultra86.6 |
| Coding | Qwen3.6-35B-A3B73.8 | Margin← 9.3 | Sakana Fugu-Ultra64.5 |
| Reasoning | Qwen3.6-35B-A3BNot measured | MarginNo overlap | Sakana Fugu-Ultra93.6 |
| Math | Qwen3.6-35B-A3B88.2 | MarginNo overlap | Sakana Fugu-UltraNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 51.5%B 82.1%Winner: Sakana Fugu-UltraΔ 30.6Terminal-Bench 2.0: Qwen3.6-35B-A3B scored 51.5%; Sakana Fugu-Ultra scored 82.1%. Sakana Fugu-Ultra wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 49.5%B 73.7%Winner: Sakana Fugu-UltraΔ 24.2SWE-bench Pro: Qwen3.6-35B-A3B scored 49.5%; Sakana Fugu-Ultra scored 73.7%. Sakana Fugu-Ultra wins this benchmark. - Source ↗
GPQA
KnowledgeA 86%B 95.5%Winner: Sakana Fugu-UltraΔ 9.5GPQA: Qwen3.6-35B-A3B scored 86%; Sakana Fugu-Ultra scored 95.5%. Sakana Fugu-Ultra wins this benchmark. - Source ↗
CharXiv
MultimodalA 78%B 86.6%Winner: Sakana Fugu-UltraΔ 8.6CharXiv: Qwen3.6-35B-A3B scored 78%; 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 | Qwen3.6-35B-A3B | Sakana Fugu-Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.6-35B-A3BNot available | Sakana Fugu-UltraNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3.6-35B-A3BNot available | Sakana Fugu-UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.6-35B-A3BNot available | Sakana Fugu-UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.6-35B-A3B262K | Sakana Fugu-Ultra1M | Sakana Fugu-Ultra lists the larger context window. |
Benchmark Deep Dive
AgenticSakana Fugu-Ultra wins15 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 51.5% | 82.1% | Sakana Fugu-Ultra leads |
| Claw-EvalSource | 68.7% | — | Not comparable |
| QwenClawBenchSource | 52.6% | — | Not comparable |
| QwenWebBenchSource | 1397 | — | Not comparable |
| τ³-bench resultsSource | 67.2% | — | Not comparable |
| VITA-BenchSource | 35.6% | — | Not comparable |
| DeepPlanningSource | 25.9% | — | Not comparable |
| ToolathlonSource | 26.9% | — | Not comparable |
| MCP AtlasSource | 62.8% | — | Not comparable |
| WideResearchSource | 60.1% | — | Not comparable |
| AA Agentic IndexSource | 21.4% | — | Not comparable |
| τ²-bench resultsSource | 95.3% | — | Not comparable |
| GDPval-AASource | 27.4% | — | Not comparable |
| GDPval-AASource | 1049 | — | Not comparable |
| Gert LabsSource | 42.65% | — | Not comparable |
CodingQwen3.6-35B-A3B wins11 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.4% | — | Not comparable |
| SWE MultilingualSource | 67.2% | — | Not comparable |
| SWE-bench ProSource | 49.5% | 73.7% | Sakana Fugu-Ultra leads |
| Terminal-Bench 2.0Source | 51.5% | 82.1% | Sakana Fugu-Ultra leads |
| LiveCodeBenchSource | 80.4% | — | Not comparable |
| NL2RepoSource | 29.4% | — | Not comparable |
| AA Coding IndexSource | 41.9% | — | Not comparable |
| AA-SciCodeSource | 35.8% | — | Not comparable |
| LiveCodeBench v6Source | — | 93.2% | Not comparable |
| LiveCodeBench ProSource | — | 90.8% | Not comparable |
| SciCodeSource | — | 58.7% | Not comparable |
Reasoning3 benchmarks
KnowledgeSakana Fugu-Ultra wins13 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| MMLU-ProSource | 85.2% | — | Not comparable |
| SuperGPQASource | 64.7% | — | Not comparable |
| C-EvalSource | 90% | — | Not comparable |
| GPQASource | 86% | 95.5% | Sakana Fugu-Ultra leads |
| HLESource | 21.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 31.6% | — | Not comparable |
| AA-GPQA DiamondSource | 84.1% | — | Not comparable |
| AA-HLESource | 20.2% | — | Not comparable |
| AA-Omniscience IndexSource | -21.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 18.9% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 49.7% | — | Not comparable |
| GPQA-DSource | — | 95.5% | Not comparable |
| HLE w/o toolsSource | — | 50% | Not comparable |
Math5 benchmarks
MultimodalSakana Fugu-Ultra wins15 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| MMMUSource | 81.7% | — | Not comparable |
| MMMU-ProSource | 75.3% | — | Not comparable |
| RealWorldQASource | 85.3% | — | Not comparable |
| OmniDocBench 1.5Source | 89.9% | — | Not comparable |
| CharXivSource | 78% | 86.6% | Sakana Fugu-Ultra leads |
| SimpleVQASource | 58.9% | — | Not comparable |
| CC-OCRSource | 81.9% | — | Not comparable |
| AI2D_TESTSource | 92.7% | — | Not comparable |
| RefCOCO (avg)Source | 92.0% | — | Not comparable |
| ODINW13Source | 50.8% | — | Not comparable |
| Video-MME (with subtitle)Source | 86.6% | — | Not comparable |
| Video-MME (w/o subtitle)Source | 82.5% | — | Not comparable |
| VideoMMMUSource | 83.7% | — | Not comparable |
| MLVU (M-Avg)Source | 86.2% | — | Not comparable |
| AA-MMMU-ProSource | 75.0% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| AA-IFBenchSource | 64.4% | — | Not comparable |
Frequently Asked Questions (5)
Which is better, Qwen3.6-35B-A3B or Sakana Fugu-Ultra?
Qwen3.6-35B-A3B 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, Qwen3.6-35B-A3B or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 51.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, Qwen3.6-35B-A3B or Sakana Fugu-Ultra?
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 73.8 versus 64.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Qwen3.6-35B-A3B or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 51.5. 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, Qwen3.6-35B-A3B or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for multimodal and grounded tasks in this comparison, averaging 86.6 versus 76.3. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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