GPT-5.2 vs MiniMax M2: Specs & Benchmark Comparison
| Characteristic | GPT-5.2 | MiniMax M2 |
|---|---|---|
| Company | OpenAI | MiniMax |
| Release Date | December 10, 2025 | October 26, 2025 |
| Parameters | — | 230B |
| Multimodal | Yes | No |
| Context (input) | 256K | 1.0M |
| Context (output) | 128K | 100K |
| Input Price / 1M | $1.50 | $1.00 |
| Output Price / 1M | $6.00 | $4.00 |
| Average Score | 1.0 | 0.8 |
| Benchmarks | ||
| AIME 2025 | 1.0 | 0.8 |
| GPQA | 0.9 | 0.8 |
Visual Benchmark Comparison
GPT-5.2
MiniMax M2
AIME 20251.0 vs 0.8
1.0
0.8
GPQA0.9 vs 0.8
0.9
0.8
Verdict
MiniMax M2 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.2 — 1.0, MiniMax M2 — 0.8.
API Cost
MiniMax M2 is 1.5x cheaper: input $1.00/1M vs $1.50/1M tokens.
Context Window
MiniMax M2 supports a larger context: 1M vs 256K tokens.
Recency
GPT-5.2 is newer: released 12/10/2025 vs 10/26/2025.
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Frequently Asked Questions
Which is better for coding — GPT-5.2 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 — GPT-5.2 or MiniMax M2?
MiniMax M2 is cheaper for input: $1.00 per 1M tokens vs $1.50.
Which has a larger context window — GPT-5.2 or MiniMax M2?
MiniMax M2 supports a larger context: 1,000,000 tokens vs 256,000.
The GPT-5.2 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 GPT-5.2 or MiniMax M2 page. See also the complete list of AI model comparisons.