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Model comparison

DeepSeek V4 Pro Base 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.
No comparison
0 category wins0 category wins

Evidence parity. DeepSeek V4 Pro Base and Sakana Fugu-Ultra v1.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 24 results are unique to DeepSeek V4 Pro Base; 0 to Sakana Fugu-Ultra v1.1.

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

Benchmark data for DeepSeek V4 Pro Base 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.

MetricDeepSeek V4 Pro BaseSakana Fugu-Ultra v1.1Comparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro BaseNot availableSakana Fugu-Ultra v1.1$5 input / $30 outputA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Pro BaseNot availableSakana Fugu-Ultra v1.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Pro BaseNot availableSakana Fugu-Ultra v1.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro Base1MSakana Fugu-Ultra v1.11MListed context windows are equal.

Benchmark Deep Dive

Coding
BenchmarkDeepSeek V4 Pro BaseSakana Fugu-Ultra v1.1Result
BigCodeBenchSource 59.2%Not comparable
HumanEvalSource 76.8%Not comparable
Reasoning
BenchmarkDeepSeek V4 Pro BaseSakana Fugu-Ultra v1.1Result
BBHSource 87.5%Not comparable
DROPSource 88.7%Not comparable
HellaSwagSource 88.0%Not comparable
WinoGrandeSource 81.5%Not comparable
CLUEWSCSource 85.2%Not comparable
LongBench v2Source 51.5%Not comparable
Knowledge
BenchmarkDeepSeek V4 Pro BaseSakana Fugu-Ultra v1.1Result
AGIEvalSource 83.1%Not comparable
MMLUSource 90.1%Not comparable
MMLU-ReduxSource 90.8%Not comparable
MMLU-ProSource 73.5%Not comparable
MMMLUSource 90.3%Not comparable
C-EvalSource 93.1%Not comparable
CMMLUSource 90.8%Not comparable
MultiLoKoSource 51.1%Not comparable
SimpleQASource 55.2%Not comparable
SuperGPQASource 53.9%Not comparable
FACTS ParametricSource 62.6%Not comparable
TriviaQASource 85.6%Not comparable
Math
BenchmarkDeepSeek V4 Pro BaseSakana Fugu-Ultra v1.1Result
GSM8KSource 92.6%Not comparable
MATHSource 64.5%Not comparable
CMathSource 90.9%Not comparable
Multilingual
BenchmarkDeepSeek V4 Pro BaseSakana Fugu-Ultra v1.1Result
MGSMSource 84.4%Not comparable
Frequently Asked Questions (3)

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

DeepSeek V4 Pro Base: Pricing unavailable 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