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MiniMax M1 vs Nano Banana Pro (Gemini 3 Pro Image)

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for MiniMax M1 and Nano Banana Pro (Gemini 3 Pro Image).

MiniMax

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...

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Google

Nano Banana Pro (Gemini 3 Pro Image)

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...

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Technical Specifications

SpecificationMiniMax M1Nano Banana Pro (Gemini 3 Pro Image)
ProviderMiniMaxGoogle
Context Window1,000,000 tokens65,536 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-06-172026-06-18

API Pricing Comparison

Input Price per Million Tokens

MiniMax M1

$0.40

Nano Banana Pro (Gemini 3 Pro Image)

$2.00

Output Price per Million Tokens

MiniMax M1

$2.20

Nano Banana Pro (Gemini 3 Pro Image)

$12.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MiniMax M1 Quirks & Gotchas

No developer gotchas reported.

Nano Banana Pro (Gemini 3 Pro Image) Quirks & Gotchas

No developer gotchas reported.