Gemini 3.1 Pro vs MiniMax M2: Specs & Benchmark Comparison
| Characteristic | Gemini 3.1 Pro | MiniMax M2 |
|---|---|---|
| Company | MiniMax | |
| Release Date | February 19, 2026 | October 26, 2025 |
| Parameters | — | 230B |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 66K | 100K |
| Input Price / 1M | $2.50 | $1.00 |
| Output Price / 1M | $15.00 | $4.00 |
| Average Score | 0.8 | 0.8 |
| Benchmarks | ||
| GPQA | 0.9 | 0.8 |
Visual Benchmark Comparison
Gemini 3.1 Pro
MiniMax M2
GPQA0.9 vs 0.8
0.9
0.8
Verdict
Gemini 3.1 Pro leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Gemini 3.1 Pro — 0.8, MiniMax M2 — 0.8.
API Cost
MiniMax M2 is 3.5x cheaper: input $1.00/1M vs $2.50/1M tokens.
Context Window
Gemini 3.1 Pro supports a larger context: 1M vs 1M tokens.
Recency
Gemini 3.1 Pro is newer: released 2/19/2026 vs 10/26/2025.
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Frequently Asked Questions
Which is better for coding — Gemini 3.1 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 3.1 Pro or MiniMax M2?
MiniMax M2 is cheaper for input: $1.00 per 1M tokens vs $2.50.
Which has a larger context window — Gemini 3.1 Pro or MiniMax M2?
Gemini 3.1 Pro supports a larger context: 1,048,576 tokens vs 1,000,000.
The Gemini 3.1 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 3.1 Pro or MiniMax M2 page. See also the complete list of AI model comparisons.