Which is better for coding — GPT-5.4 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-5.4 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 — GPT-5.4 or MiniMax M2.1?

GPT-5.4 supports a larger context: 1,000,000 tokens vs 1,000,000.

GPT-5.4 vs MiniMax M2.1: Specs & Benchmark Comparison

Characteristic	GPT-5.4	MiniMax M2.1
Company	OpenAI	MiniMax
Release Date	March 5, 2026	December 22, 2025
Parameters	—	—
Multimodal	Yes	No
Context (input)	1.0M	1.0M
Context (output)	128K	100K
Input Price / 1M	$2.50	$0.30
Output Price / 1M	$15.00	$1.20
Average Score	0.9	0.9
Benchmarks
GPQA	0.9	0.8

Visual Benchmark Comparison

GPT-5.4

MiniMax M2.1

GPQA0.9 vs 0.8

0.9

0.8

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: GPT-5.4 — 0.9, 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

Same context size: 1M tokens.

Recency

GPT-5.4 is newer: released 3/5/2026 vs 12/22/2025.

More About These Models

GPT-5.4

OpenAI — specs, benchmarks, API

MiniMax M2.1

MiniMax — specs, benchmarks, API

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

All model comparisons →

The GPT-5.4 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-5.4 or MiniMax M2.1 page. See also the complete list of AI model comparisons.