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Fugu Ultra vs DeepSeek V3.1

Detailed technical comparison between Fugu Ultra (Sakana AI) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Fugu Ultra: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

Fugu Ultra

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
Sakana AIactive

Fugu Ultra

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

View Fugu Ultra Full Specs โ†’
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationFugu UltraDeepSeek V3.1
ProviderSakana AIDeepSeek
Context Window1,000,000 tokens๐Ÿ†163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-06-242025-08-21

API Pricing Comparison

Input Price per Million Tokens

Fugu Ultra

$5.00

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Fugu Ultra

$30.00

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: DeepSeek V3.1 is 20.0x cheaper per input token than Fugu Ultra.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
85.4%vs80.0%+5.4% Fugu Ultra
Fugu Ultra ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
84.6%vs78.2%+6.4% Fugu Ultra
Fugu Ultra ๐Ÿ†
DeepSeek V3.1
MATHComplex mathematical problem solving
65.8%vs55.4%+10.4% Fugu Ultra
Fugu Ultra ๐Ÿ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
47.2%vs40.8%+6.4% Fugu Ultra
Fugu Ultra ๐Ÿ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
86.4%vs83.0%+3.4% Fugu Ultra
Fugu Ultra ๐Ÿ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
8.9%vs8.6%+0.3% Fugu Ultra
Fugu Ultra ๐Ÿ†
DeepSeek V3.1

Fugu Ultra Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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