Model comparison
Qwen3.7 Plus vs Sakana Fugu-Ultra v1.1
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: Qwen3.7 Plus #26 (Supported); Sakana Fugu-Ultra v1.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.7 Plus and Sakana Fugu-Ultra v1.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 69 results are unique to Qwen3.7 Plus; 0 to Sakana Fugu-Ultra v1.1.
Updated July 24, 2026- Shared results
- 0
- Qwen3.7 Plus only
- 69
- Sakana Fugu-Ultra v1.1 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Qwen3.7 Plus and Sakana Fugu-Ultra v1.1 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 does not have sourced benchmark coverage for Sakana Fugu-Ultra v1.1 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.7 Plus | Sakana Fugu-Ultra v1.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.7 PlusNot available | Sakana Fugu-Ultra v1.1$5 input / $30 output | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3.7 PlusNot available | Sakana Fugu-Ultra v1.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.7 PlusNot available | Sakana Fugu-Ultra v1.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.7 Plus1M | Sakana Fugu-Ultra v1.11M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Qwen3.7 Plus | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 70.3% | — | Not comparable |
| QwenClawBenchSource | 61.8% | — | Not comparable |
| QwenWebBenchSource | 1536 | — | Not comparable |
| Claw-EvalSource | 62.7% | — | Not comparable |
| BFCL v4Source | 72.9% | — | Not comparable |
| MCP AtlasSource | 73.2% | — | Not comparable |
| VITA-BenchSource | 45.6% | — | Not comparable |
| DeepPlanningSource | 62.3% | — | Not comparable |
| OSWorld-VerifiedSource | 73.3% | — | Not comparable |
| AndroidWorldSource | 81.0% | — | Not comparable |
| AA Agentic IndexSource | 20.8% | — | Not comparable |
| APEX-Agents-AASource | 22.4% | — | Not comparable |
| τ²-bench resultsSource | 93% | — | Not comparable |
| GDPval-AASource | 22.1% | — | Not comparable |
| GDPval-AASource | 943 | — | Not comparable |
| OSWorld 2.0Source | 2.8% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Qwen3.7 Plus | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 70.3% | — | Not comparable |
| SWE-bench VerifiedSource | 77.7% | — | Not comparable |
| SWE-bench ProSource | 57.6% | — | Not comparable |
| SWE MultilingualSource | 75.8% | — | Not comparable |
| NL2RepoSource | 41.1% | — | Not comparable |
| SciCodeSource | 51.3% | — | Not comparable |
| LiveCodeBenchSource | 89.6% | — | Not comparable |
| AA Coding IndexSource | 55.9% | — | Not comparable |
| AA-SciCodeSource | 45.5% | — | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | Qwen3.7 Plus | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| GPQASource | 90.3% | — | Not comparable |
| GPQA-DSource | 90.3% | — | Not comparable |
| HLESource | 34.7% | — | Not comparable |
| MMLU-ProSource | 88.5% | — | Not comparable |
| MMLU-ReduxSource | 94.5% | — | Not comparable |
| SuperGPQASource | 71.4% | — | Not comparable |
| MMMLUSource | 89.0% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 39.0% | — | Not comparable |
| AA-GPQA DiamondSource | 90.0% | — | Not comparable |
| AA-HLESource | 33.4% | — | Not comparable |
| AA-Omniscience IndexSource | 2.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 22.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 25.5% | — | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | Qwen3.7 Plus | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| MMMU-ProSource | 79% | — | Not comparable |
| MathVisionSource | 90.3% | — | Not comparable |
| CharXivSource | 85.9% | — | Not comparable |
| ERQASource | 69.8% | — | Not comparable |
| MedXpertQA (MM)Source | 71.0% | — | Not comparable |
| ScreenSpot ProSource | 79.0% | — | Not comparable |
| SimpleVQASource | 81.7% | — | Not comparable |
| MMSearch-PlusSource | 41.4% | — | Not comparable |
| RealWorldQASource | 86.9% | — | Not comparable |
| OmniDocBench 1.5Source | 91.4% | — | Not comparable |
| OCRBench V2Source | 70.7% | — | Not comparable |
| ODINW13Source | 51.1% | — | Not comparable |
| Video-MME (with subtitle)Source | 88.0% | — | Not comparable |
| VideoMMMUSource | 85.4% | — | Not comparable |
| MLVU (M-Avg)Source | 87.4% | — | Not comparable |
| AA-MMMU-ProSource | 80.5% | — | Not comparable |
| Design Arena WebsiteSource | 1288 | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Qwen3.7 Plus and Sakana Fugu-Ultra v1.1 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 Qwen3.7 Plus and Sakana Fugu-Ultra v1.1 today?
Sakana Fugu-Ultra v1.1: $5.00 input / $30.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.