Which is better for coding — GPT-5.2 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 — GPT-5.2 or MiniMax M2.1?

MiniMax M2.1 is cheaper for input: $0.30 per 1M tokens vs $1.50.

Which has a larger context window — GPT-5.2 or MiniMax M2.1?

MiniMax M2.1 supports a larger context: 1,000,000 tokens vs 256,000.

GPT-5.2 vs MiniMax M2.1: Specs & Benchmark Comparison

Characteristic	GPT-5.2	MiniMax M2.1
Company	OpenAI	MiniMax
Release Date	December 10, 2025	December 22, 2025
Parameters	—	—
Multimodal	Yes	No
Context (input)	256K	1.0M
Context (output)	128K	100K
Input Price / 1M	$1.50	$0.30
Output Price / 1M	$6.00	$1.20
Average Score	1.0	0.9
Benchmarks
GPQA	0.9	0.8

Visual Benchmark Comparison

GPT-5.2

MiniMax M2.1

GPQA0.9 vs 0.8

0.9

0.8

Verdict

MiniMax M2.1 leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GPT-5.2 — 1.0, MiniMax M2.1 — 0.9.

API Cost

MiniMax M2.1 is 5.0x cheaper: input $0.30/1M vs $1.50/1M tokens.

Context Window

MiniMax M2.1 supports a larger context: 1M vs 256K tokens.

Recency

Both models were released around the same time: 12/10/2025 and 12/22/2025.

More About These Models

GPT-5.2

OpenAI — specs, benchmarks, API

MiniMax M2.1

MiniMax — specs, benchmarks, API

Related Comparisons

GPT-5.1 Medium vs GPT-5.2 GPT-5.1 Codex High vs GPT-5.2 GPT-5.1 High vs GPT-5.2 GPT-5.2 vs GPT-5.4 GPT-5 High vs GPT-5.2 GPT-5.1 Thinking vs GPT-5.2

All model comparisons →

The GPT-5.2 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 GPT-5.2 or MiniMax M2.1 page. See also the complete list of AI model comparisons.