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Gemini 3.6 Flash vs MiniMax M1

Detailed technical comparison between Gemini 3.6 Flash (Google) and MiniMax M1 (MiniMax). 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

Gemini 3.6 Flash: 0 WinsvsMiniMax M1: 6 Wins
Context Leader

Gemini 3.6 Flash

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

MiniMax M1

$0.55 / MTok
Googleactive

Gemini 3.6 Flash

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

View Gemini 3.6 Flash Full Specs →
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 →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.6 FlashMiniMax M1
ProviderGoogleMiniMax
Context Window1,048,576 tokens🏆1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetabeta
API AvailableYesYes
Released Date2026-07-212025-06-17

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.6 Flash

$1.50

MiniMax M1

$0.55

Output Price per Million Tokens

Gemini 3.6 Flash

$7.50

MiniMax M1

$2.20

💡 Cost Ratio: MiniMax M1 is 2.7x cheaper per input token than Gemini 3.6 Flash.

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.

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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
73.6%vs86.8%+13.2% MiniMax M1
Gemini 3.6 Flash
MiniMax M1 🏆
HumanEvalPython coding & logic synthesis
69.8%vs86.0%+16.2% MiniMax M1
Gemini 3.6 Flash
MiniMax M1 🏆
MATHComplex mathematical problem solving
43.0%vs67.2%+24.2% MiniMax M1
Gemini 3.6 Flash
MiniMax M1 🏆
GPQAGraduate-level expert reasoning
30.4%vs48.6%+18.2% MiniMax M1
Gemini 3.6 Flash
MiniMax M1 🏆
HellaSwagCommonsense reasoning and inference
77.6%vs87.8%+10.2% MiniMax M1
Gemini 3.6 Flash
MiniMax M1 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs9.0%+1.0% MiniMax M1
Gemini 3.6 Flash
MiniMax M1 🏆

Gemini 3.6 Flash Quirks & Gotchas

No developer gotchas reported.

MiniMax M1 Quirks & Gotchas

No developer gotchas reported.

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