Which is better for coding — GLM-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-5 or MiniMax M2.7?

GLM-5 is cheaper for input: $0.00 per 1M tokens vs $0.30.

Which has a larger context window — GLM-5 or MiniMax M2.7?

MiniMax M2.7 supports a larger context: 205,000 tokens vs 200,000.

GLM-5 vs MiniMax M2.7: Specs & Benchmark Comparison

Characteristic	GLM-5	MiniMax M2.7
Company	Zhipu AI	MiniMax
Release Date	February 10, 2026	March 18, 2026
Parameters	744B	—
Multimodal	No	No
Context (input)	200K	205K
Context (output)	128K	100K
Input Price / 1M	—	$0.30
Output Price / 1M	$0.00	$1.20
Average Score	0.7	0.0

Verdict

MiniMax M2.7 leads in 2 out of 2 comparison categories.

Context Window

MiniMax M2.7 supports a larger context: 205K vs 200K tokens.

Recency

MiniMax M2.7 is newer: released 3/18/2026 vs 2/10/2026.

More About These Models

GLM-5

Zhipu AI — specs, benchmarks, API

MiniMax M2.7

MiniMax — specs, benchmarks, API

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All model comparisons →

The GLM-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-5 or MiniMax M2.7 page. See also the complete list of AI model comparisons.