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Gemini 3.5 Flash-Lite vs MiniMax M1

Detailed technical comparison between Gemini 3.5 Flash-Lite (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 3.5 Flash-Lite: 0 WinsvsMiniMax M1: 6 Wins
Context Leader

Gemini 3.5 Flash-Lite

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Gemini 3.5 Flash-Lite

$0.30 / MTok
Googleactive

Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

View Gemini 3.5 Flash-Lite 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 3.5 Flash-LiteMiniMax 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 3.5 Flash-Lite

$0.30

MiniMax M1

$0.55

Output Price per Million Tokens

Gemini 3.5 Flash-Lite

$2.50

MiniMax M1

$2.20

💡 Cost Ratio: Gemini 3.5 Flash-Lite is 1.8x cheaper per input token than MiniMax M1.

Want to test both models live?

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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
73.2%vs86.8%+13.6% MiniMax M1
Gemini 3.5 Flash-Lite
MiniMax M1 🏆
HumanEvalPython coding & logic synthesis
69.4%vs86.0%+16.6% MiniMax M1
Gemini 3.5 Flash-Lite
MiniMax M1 🏆
MATHComplex mathematical problem solving
42.6%vs67.2%+24.6% MiniMax M1
Gemini 3.5 Flash-Lite
MiniMax M1 🏆
GPQAGraduate-level expert reasoning
30.0%vs48.6%+18.6% MiniMax M1
Gemini 3.5 Flash-Lite
MiniMax M1 🏆
HellaSwagCommonsense reasoning and inference
77.2%vs87.8%+10.6% MiniMax M1
Gemini 3.5 Flash-Lite
MiniMax M1 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs9.0%+1.1% MiniMax M1
Gemini 3.5 Flash-Lite
MiniMax M1 🏆

Gemini 3.5 Flash-Lite Quirks & Gotchas

No developer gotchas reported.

MiniMax M1 Quirks & Gotchas

No developer gotchas reported.

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