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GPT-5.6 Sol vs Fugu Max

Detailed technical comparison between GPT-5.6 Sol (OpenAI) and Fugu Max (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

GPT-5.6 Sol: 6 WinsvsFugu Max: 0 Wins
Context Leader

GPT-5.6 Sol

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Tie

Equal Pricing
OpenAIactive

GPT-5.6 Sol

GPT-5.6 Sol is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GPT-5.6 Sol represents a key architectural iteration in the OpenAI model family. First released in 2026-07-09, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,050,000 tokens (approximately 1,400 words), GPT-5.6 Sol processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View GPT-5.6 Sol Full Specs →
Sakana AIactive

Fugu Max

Fugu Max is an advanced artificial intelligence model engineered by Sakana AI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Fugu Max 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 Max processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Fugu Max Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGPT-5.6 SolFugu Max
ProviderOpenAISakana AI
Context Window1,050,000 tokens🏆1,000,000 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 Date2026-07-092026-09-11

API Pricing Comparison

Input Price per Million Tokens

GPT-5.6 Sol

$2.00

Fugu Max

$2.00

Output Price per Million Tokens

GPT-5.6 Sol

$10.00

Fugu Max

$6.00

💡 Cost Ratio: Both models offer identical input token pricing ($2.00 / MTok).

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
96.8%vs87.8%+9.0% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Fugu Max
HumanEvalPython coding & logic synthesis
96.2%vs87.0%+9.2% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Fugu Max
MATHComplex mathematical problem solving
95.4%vs68.2%+27.2% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Fugu Max
GPQAGraduate-level expert reasoning
87.9%vs49.6%+38.3% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Fugu Max
HellaSwagCommonsense reasoning and inference
99.2%vs85.4%+13.8% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Fugu Max
MT-BenchMulti-turn conversation flow quality
9.8%vs9.1%+0.7% GPT-5.6 Sol
GPT-5.6 Sol 🏆
Fugu Max

GPT-5.6 Sol Quirks & Gotchas

No developer gotchas reported.

Fugu Max Quirks & Gotchas

No developer gotchas reported.

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