Gemini 3 Pro vs MiniMax M2: Specs & Benchmark Comparison

CharacteristicGemini 3 ProMiniMax M2
CompanyGoogleMiniMax
Release DateNovember 17, 2025October 26, 2025
Parameters230B
MultimodalYesNo
Context (input)1.0M1.0M
Context (output)66K100K
Input Price / 1M$2.00$1.00
Output Price / 1M$12.00$4.00
Average Score0.90.8
Benchmarks
AIME 20251.00.8
GPQA0.90.8

Visual Benchmark Comparison

Gemini 3 Pro
MiniMax M2
AIME 20251.0 vs 0.8
1.0
0.8
GPQA0.9 vs 0.8
0.9
0.8

Verdict

Gemini 3 Pro leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Gemini 3 Pro — 0.9, MiniMax M2 — 0.8.

API Cost

MiniMax M2 is 2.8x cheaper: input $1.00/1M vs $2.00/1M tokens.

Context Window

Gemini 3 Pro supports a larger context: 1M vs 1M tokens.

Recency

Gemini 3 Pro is newer: released 11/17/2025 vs 10/26/2025.

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Frequently Asked Questions

Which is better for coding — Gemini 3 Pro or MiniMax M2?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Gemini 3 Pro or MiniMax M2?
MiniMax M2 is cheaper for input: $1.00 per 1M tokens vs $2.00.
Which has a larger context window — Gemini 3 Pro or MiniMax M2?
Gemini 3 Pro supports a larger context: 1,048,576 tokens vs 1,000,000.

The Gemini 3 Pro and MiniMax M2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 3 Pro or MiniMax M2 page. See also the complete list of AI model comparisons.