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Model comparison

DeepSeek V4 Pro vs Sakana Fugu-Ultra v1.1

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
60/100
No comparison
0 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Pro #49 (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. DeepSeek V4 Pro and Sakana Fugu-Ultra v1.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 23 results are unique to DeepSeek V4 Pro; 0 to Sakana Fugu-Ultra v1.1.

Updated July 24, 2026
Shared results
0
DeepSeek V4 Pro only
23
Sakana Fugu-Ultra v1.1 only
0
Comparable categories
0 / 8

Benchmark data for DeepSeek V4 Pro 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.

Sakana Fugu-Ultra v1.1 is priced at $5.00 input / $30.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V4 ProSakana Fugu-Ultra v1.1Comparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro$0.435 input / $0.87 outputSakana Fugu-Ultra v1.1$5 input / $30 outputDeepSeek V4 Pro has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 ProNot availableSakana Fugu-Ultra v1.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 ProNot availableSakana Fugu-Ultra v1.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro1MSakana Fugu-Ultra v1.11MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 ProSakana Fugu-Ultra v1.1Result
Terminal-Bench 2.0Source 59.1%Not comparable
MCP AtlasSource 69.4%Not comparable
ToolathlonSource 46.3%Not comparable
Claw-EvalSource 59.8%Not comparable
Gert LabsSource 50.28%Not comparable
ResearchClawBenchSource 17.1%Not comparable
Coding
BenchmarkDeepSeek V4 ProSakana Fugu-Ultra v1.1Result
SWE-bench VerifiedSource 73.6%Not comparable
SWE-bench ProSource 52.1%Not comparable
SWE MultilingualSource 69.8%Not comparable
Terminal-Bench 2.0Source 59.1%Not comparable
Reasoning
BenchmarkDeepSeek V4 ProSakana Fugu-Ultra v1.1Result
MRCR 1MSource 44.7%Not comparable
CorpusQA 1MSource 35.6%Not comparable
Knowledge
BenchmarkDeepSeek V4 ProSakana Fugu-Ultra v1.1Result
MMLU-ProSource 82.9%Not comparable
SimpleQASource 45%Not comparable
Chinese-SimpleQASource 75.8%Not comparable
GPQASource 72.9%Not comparable
GPQA-DSource 72.9%Not comparable
HLESource 7.7%Not comparable
Math
BenchmarkDeepSeek V4 ProSakana Fugu-Ultra v1.1Result
HMMT Feb 2026Source 31.7%Not comparable
IMOAnswerBenchSource 35.3%Not comparable
ApexSource 0.4%Not comparable
Apex ShortlistSource 9.2%Not comparable
Multimodal
BenchmarkDeepSeek V4 ProSakana Fugu-Ultra v1.1Result
Design Arena WebsiteSource 1264Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V4 Pro 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 DeepSeek V4 Pro and Sakana Fugu-Ultra v1.1 today?

DeepSeek V4 Pro: $0.43 input / $0.87 output per 1M tokens 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.

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Last updated: July 24, 2026