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Model comparison

GLM-4.7-Flash vs MiniMax M2

Z.ai (Zhipu / GLM)GLM-4.7-Flash
Input
$0.06 / 1M tokens
Output
$0.40 / 1M tokens
Context
200K
Released
2026-01-19
Full model page →MiniMaxMiniMax M2
Input
$0.30 / 1M tokens
Output
$1.20 / 1M tokens
Context
204K
Released
2025-10-27
Full model page →
Short answer

MiniMax M2 scores higher on 2 of the 3 benchmarks both models report (the other leads on 1); GLM-4.7-Flash is cheaper on input tokens ($0.1 vs $0.3 per 1M, 5×); MiniMax M2 has the larger context window (204K vs 200K).

Specs and pricing side by side

SpecGLM-4.7-FlashMiniMax M2
MakerZ.ai (Zhipu / GLM)MiniMax
Released2026-01-192025-10-27
Context window200K204K
Max output128KNot publicly disclosed
Input price$0.06 / 1M tokens$0.30 / 1M tokens
Output price$0.40 / 1M tokens$1.20 / 1M tokens
Parameters30B total / 3B active (30B-A3B MoE)230B total / 10B active (MoE)
LicenseMITMIT (modified)
WeightsOpen weightsOpen weightssame
ModalitiesTextTextsame
Knowledge cutoffnot publishedNot publicly disclosed

Benchmarks both models report

BenchmarkGLM-4.7-FlashMiniMax M2
SWE-bench Verified59.2%69.4%
τ²-Bench79.5%77.2%
BrowseComp42.8%44%

Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.

Which one should you pick?

Pick GLM-4.7-Flash if…

  • You care about τ²-Bench (it scores higher on 1 shared benchmark).
  • Cost matters: input tokens cost 5× less ($0.1 vs $0.3 per 1M).
  • Your use case is: local and self-hosted AI coding assistants on a single GPU or capable workstation.

Pick MiniMax M2 if…

  • You care about SWE-bench Verified, BrowseComp (it scores higher on 2 shared benchmarks).
  • You need the longer context (204K vs 200K).
  • Your use case is: autonomous and semi-autonomous coding agents that do multi-file edits and run-fix loops.

FAQ

Which is better, GLM-4.7-Flash or MiniMax M2?

MiniMax M2 scores higher on 2 of the 3 benchmarks both models report (the other leads on 1); GLM-4.7-Flash is cheaper on input tokens ($0.1 vs $0.3 per 1M, 5×); MiniMax M2 has the larger context window (204K vs 200K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.

How much cheaper is GLM-4.7-Flash?

GLM-4.7-Flash: $0.06 / 1M tokens input, $0.40 / 1M tokens output. MiniMax M2: $0.30 / 1M tokens input, $1.20 / 1M tokens output (list API prices as published by each maker).

What are the context windows of GLM-4.7-Flash and MiniMax M2?

GLM-4.7-Flash offers 200K with up to 128K output; MiniMax M2 offers 204K with up to Not publicly disclosed output.

Is GLM-4.7-Flash newer than MiniMax M2?

GLM-4.7-Flash was released 2026-01-19; MiniMax M2 was released 2025-10-27.

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