Which is better for coding — Gemini 3.1 Pro or MiniMax M2.1?

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 M2.1?

MiniMax M2.1 is cheaper for input: $0.30 per 1M tokens vs $2.50.

Which has a larger context window — Gemini 3.1 Pro or MiniMax M2.1?

Gemini 3.1 Pro supports a larger context: 1,048,576 tokens vs 1,000,000.

Gemini 3.1 Pro vs MiniMax M2.1: Specs & Benchmark Comparison

Characteristic	Gemini 3.1 Pro	MiniMax M2.1
Company	Google	MiniMax
Release Date	February 19, 2026	December 22, 2025
Parameters	—	—
Multimodal	Yes	No
Context (input)	1.0M	1.0M
Context (output)	66K	100K
Input Price / 1M	$2.50	$0.30
Output Price / 1M	$15.00	$1.20
Average Score	0.8	0.9
Benchmarks
GPQA	0.9	0.8

Visual Benchmark Comparison

Gemini 3.1 Pro

MiniMax M2.1

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 M2.1 — 0.9.

API Cost

MiniMax M2.1 is 11.7x cheaper: input $0.30/1M 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 12/22/2025.

More About These Models

Gemini 3.1 Pro

Google — specs, benchmarks, API

MiniMax M2.1

MiniMax — specs, benchmarks, API

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All model comparisons →

The Gemini 3.1 Pro and MiniMax M2.1 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 M2.1 page. See also the complete list of AI model comparisons.