Which is better for coding — GLM-4.5 or MiniMax M2.7?

Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.

Which model is cheaper — GLM-4.5 or MiniMax M2.7?

MiniMax M2.7 is cheaper for input: $0.30 per 1M tokens vs $0.60.

Which has a larger context window — GLM-4.5 or MiniMax M2.7?

MiniMax M2.7 supports a larger context: 205,000 tokens vs 131,072.

GLM-4.5 vs MiniMax M2.7: Specs & Benchmark Comparison

Characteristic	GLM-4.5	MiniMax M2.7
Company	Zhipu AI	MiniMax
Release Date	July 27, 2025	March 18, 2026
Parameters	355B	—
Multimodal	No	No
Context (input)	131K	205K
Context (output)	98K	100K
Input Price / 1M	$0.60	$0.30
Output Price / 1M	$2.20	$1.20
Average Score	0.8	0.0

Verdict

MiniMax M2.7 leads in 3 out of 3 comparison categories.

API Cost

MiniMax M2.7 is 1.9x cheaper: input $0.30/1M vs $0.60/1M tokens.

Context Window

MiniMax M2.7 supports a larger context: 205K vs 131K tokens.

Recency

MiniMax M2.7 is newer: released 3/18/2026 vs 7/27/2025.

More About These Models

GLM-4.5

Zhipu AI — specs, benchmarks, API

MiniMax M2.7

MiniMax — specs, benchmarks, API

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The GLM-4.5 and MiniMax M2.7 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-4.5 or MiniMax M2.7 page. See also the complete list of AI model comparisons.