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DeepSeek V4 Pro vs Fugu Ultra v2

Detailed technical comparison between DeepSeek V4 Pro (DeepSeek) and Fugu Ultra v2 (Sakana AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

DeepSeek V4 Pro: 6 WinsvsFugu Ultra v2: 0 Wins
Context Leader

DeepSeek V4 Pro

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V4 Pro

$0.92 / MTok
DeepSeekactive

DeepSeek V4 Pro

DeepSeek V4 Pro is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek V4 Pro represents a key architectural iteration in the DeepSeek model family. First released in 2026-04-24, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), DeepSeek V4 Pro processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek V4 Pro Full Specs →
Sakana AIactive

Fugu Ultra v2

Fugu Ultra v2 is an advanced artificial intelligence model engineered by Sakana AI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Fugu Ultra v2 represents a key architectural iteration in the Sakana AI model family. First released in 2026-09-11, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,000,000 tokens (approximately 1,333 words), Fugu Ultra v2 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Fugu Ultra v2 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationDeepSeek V4 ProFugu Ultra v2
ProviderDeepSeekSakana AI
Context Window1,048,576 tokens🏆1,000,000 tokens
Agent Suitability94/100 (est.)Not yet benchmarked
Time to First Token (TTFT)280 ms (est.)No public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-04-242026-09-11

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Pro

$0.92

Fugu Ultra v2

$5.00

Output Price per Million Tokens

DeepSeek V4 Pro

$1.85

Fugu Ultra v2

$30.00

💡 Cost Ratio: DeepSeek V4 Pro is 5.4x cheaper per input token than Fugu Ultra v2.

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 (0–100%)

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

MMLUGeneral knowledge & multi-task understanding
94.5%vs87.2%+7.3% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
Fugu Ultra v2
HumanEvalPython coding & logic synthesis
95.8%vs86.4%+9.4% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
Fugu Ultra v2
MATHComplex mathematical problem solving
94.5%vs67.6%+26.9% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
Fugu Ultra v2
GPQAGraduate-level expert reasoning
85.0%vs49.0%+36.0% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
Fugu Ultra v2
HellaSwagCommonsense reasoning and inference
98.6%vs88.2%+10.4% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
Fugu Ultra v2
MT-BenchMulti-turn conversation flow quality
9.6%vs9.1%+0.5% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
Fugu Ultra v2

DeepSeek V4 Pro Quirks & Gotchas

  • MoE architecture — cold-start latency on first request, use keep-alive
  • Best cost-performance ratio of any frontier model — strong tool calling for agentic use

Fugu Ultra v2 Quirks & Gotchas

No developer gotchas reported.

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