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Fugu Ultra vs MiniMax M1

Detailed technical comparison between Fugu Ultra (Sakana AI) and MiniMax M1 (MiniMax). 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: 0 WinsvsMiniMax M1: 6 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

MiniMax M1

$0.55 / 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†’
MiniMaxactive

MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

View MiniMax M1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationFugu UltraMiniMax M1
ProviderSakana AIMiniMax
Context Window1,000,000 tokens1,000,000 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-06-242025-06-17

API Pricing Comparison

Input Price per Million Tokens

Fugu Ultra

$5.00

MiniMax M1

$0.55

Output Price per Million Tokens

Fugu Ultra

$30.00

MiniMax M1

$2.20

๐Ÿ’ก Cost Ratio: MiniMax M1 is 9.1x 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%vs86.8%+1.4% MiniMax M1
Fugu Ultra
MiniMax M1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
84.6%vs86.0%+1.4% MiniMax M1
Fugu Ultra
MiniMax M1 ๐Ÿ†
MATHComplex mathematical problem solving
65.8%vs67.2%+1.4% MiniMax M1
Fugu Ultra
MiniMax M1 ๐Ÿ†
GPQAGraduate-level expert reasoning
47.2%vs48.6%+1.4% MiniMax M1
Fugu Ultra
MiniMax M1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
86.4%vs87.8%+1.4% MiniMax M1
Fugu Ultra
MiniMax M1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.9%vs9.0%+0.1% MiniMax M1
Fugu Ultra
MiniMax M1 ๐Ÿ†

Fugu Ultra Quirks & Gotchas

No developer gotchas reported.

MiniMax M1 Quirks & Gotchas

No developer gotchas reported.

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