Which is better for coding — GLM-5 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 — GLM-5 or MiniMax M2.1?

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

Which has a larger context window — GLM-5 or MiniMax M2.1?

MiniMax M2.1 supports a larger context: 1,000,000 tokens vs 200,000.

GLM-5 vs MiniMax M2.1: Specs & Benchmark Comparison

Characteristic	GLM-5	MiniMax M2.1
Company	Zhipu AI	MiniMax
Release Date	February 10, 2026	December 22, 2025
Parameters	744B	—
Multimodal	No	No
Context (input)	200K	1.0M
Context (output)	128K	100K
Input Price / 1M	—	$0.30
Output Price / 1M	$0.00	$1.20
Average Score	0.7	0.9

Verdict

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

Overall Performance

Both models show comparable average scores: GLM-5 — 0.7, MiniMax M2.1 — 0.9.

Context Window

MiniMax M2.1 supports a larger context: 1M vs 200K tokens.

Recency

GLM-5 is newer: released 2/10/2026 vs 12/22/2025.

More About These Models

GLM-5

Zhipu AI — specs, benchmarks, API

MiniMax M2.1

MiniMax — specs, benchmarks, API

Related Comparisons

GLM-4.5 vs GLM-5 GLM-4.7-Flash vs GLM-5 Claude Sonnet 4.6 vs GLM-5 GLM-5 vs GPT-5.4 nano GLM-5 vs GPT-5.3 Codex GLM-5 vs LongCat-Flash-Thinking-2601

All model comparisons →

The GLM-5 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 GLM-5 or MiniMax M2.1 page. See also the complete list of AI model comparisons.