Which is better for coding — GLM-4.7-Flash 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-4.7-Flash or MiniMax M2.7?

GLM-4.7-Flash is cheaper for input: $0.07 per 1M tokens vs $0.30.

Which has a larger context window — GLM-4.7-Flash or MiniMax M2.7?

MiniMax M2.7 supports a larger context: 205,000 tokens vs 128,000.

GLM-4.7-Flash vs MiniMax M2.7: Specs & Benchmark Comparison

Characteristic	GLM-4.7-Flash	MiniMax M2.7
Company	Zhipu AI	MiniMax
Release Date	January 18, 2026	March 18, 2026
Parameters	30B	—
Multimodal	No	No
Context (input)	128K	205K
Context (output)	16K	100K
Input Price / 1M	$0.07	$0.30
Output Price / 1M	$0.40	$1.20
Average Score	0.6	0.0

Verdict

MiniMax M2.7 leads in 2 out of 3 comparison categories.

API Cost

GLM-4.7-Flash is 3.2x cheaper: input $0.07/1M vs $0.30/1M tokens.

Context Window

MiniMax M2.7 supports a larger context: 205K vs 128K tokens.

Recency

MiniMax M2.7 is newer: released 3/18/2026 vs 1/18/2026.

More About These Models

GLM-4.7-Flash

Zhipu AI — specs, benchmarks, API

MiniMax M2.7

MiniMax — specs, benchmarks, API

Related Comparisons

GLM-4.7-Flash vs GLM-5 GLM-4.5 vs GLM-4.7-Flash GLM-4.7-Flash vs GPT-5.2 Codex GLM-4.7-Flash vs Mercury 2 GLM-4.7-Flash vs MiniMax M2.5 GLM-4.7-Flash vs GPT-5.3 Codex

All model comparisons →

The GLM-4.7-Flash 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-4.7-Flash or MiniMax M2.7 page. See also the complete list of AI model comparisons.