Coding · Head-to-head

GLM-5.2 vs MiniMax M3

GLM-5.2 (freemium, AI Score 8.5/10) vs MiniMax M3 (freemium, AI Score 8.2/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick GLM-5.2 if…

→your primary use case is engineering teams building coding agents who need frontier-class capability under a license they fully control — self-hosted, fine-tuned, or air-gapped — rather than rented from a closed api.

Try GLM-5.2 →

Pick MiniMax M3 if…

→your primary use case is backend and agent developers running high-token coding workloads who need frontier-adjacent output at open-weights prices, plus teams that must self-host the model to keep source code on their own infrastructure.

Try MiniMax M3 →

Spec	GLM-5.2	MiniMax M3
Category	Coding	Coding
Pricing model	freemium	freemium
Headline pricing	Free chat + MIT open weights; paid API and GLM Coding Plan — check site for current rates	Freemium — open weights + usage-based API ($0.30/$1.20 per M at launch; check site for current)
Free tier	Yes — free chat access plus MIT-licensed weights you can download and run at no license cost. Hosted API and Coding Plan rates are not stated here because they were not verified against z.ai on the date of this update; check the site directly before budgeting.	A free API tier for evaluation was available at launch, plus free self-hosting via the open weights. Check platform.minimax.io for current limits.
AI Score	8.5/10	8.2/10
Best for	Engineering teams building coding agents who need frontier-class capability under a license they fully control — self-hosted, fine-tuned, or air-gapped — rather than rented from a closed API.	Backend and agent developers running high-token coding workloads who need frontier-adjacent output at open-weights prices, plus teams that must self-host the model to keep source code on their own infrastructure.
Editor's pick	—	—
Use cases	development agents	development agents
Date added	2026-06-27	2026-06-09

Coding · freemium

✓MIT license at 744B parameters — commercial use, fine-tuning and redistribution with no revocable API terms or MAU clause
✓1M-token context handles whole repositories and long agent histories in one pass
✓Tuned for long-horizon, multi-turn tool use rather than one-shot completion, which is the workload coding agents actually run
✓Self-hosting is a genuine option for teams with data-residency or air-gap requirements, not a theoretical one
✓Materially cheaper than closed frontier tiers like GPT-5.6 Sol at $5/$30 per million tokens

×744B parameters means serious multi-GPU hardware to self-host, so most teams end up on the hosted API anyway — back on someone else's terms
×The launch claim of beating GPT-5.5 on long-horizon coding was vendor- and press-reported and still has no independent replication; GPT-5.6 Sol shipped in July and moved the comparison point
×The cheap-frontier field caught up fast — Qwen 3.8 Max at $2/$6 and Kimi K3 at $3/$15 offer comparable context, so GLM-5.2's cost edge is no longer distinctive
×Hosted API and Coding Plan prices are not published in an easily comparable form, and some enterprises face data-residency or procurement blocks on a China-based provider

Coding · freemium

✓Launch API pricing of $0.30/$1.20 per M tokens runs roughly an order of magnitude under GPT-5.6 Sol's $5/$30, and undercuts even OpenAI's cheap Luna tier
✓Open weights allow self-hosting, fine-tuning on proprietary code, and full inspection — no revocable API terms
✓1M-token context ingests an entire codebase or a long agent history without chunking
✓Served through OpenRouter and other third-party hosts, so evaluation does not require onboarding to MiniMax's platform
✓Tuned specifically for multi-step tool use rather than single-turn completion, which is what agent frameworks actually need

×The open-weights coding niche closed around it: GLM-5.2 ships 744B parameters under a permissive MIT license and Kimi K3 matches the 1M context, so nothing in M3's spec sheet is unique anymore
×MiniMax called the launch API rate promotional and has not committed to a durable published price — budget with the pricing page open rather than from a cached figure
×Text and image in, text out only. No voice mode, no computer use, no video generation; those live in separate MiniMax models you call separately
×Developer tooling and native IDE integration remain thinner than OpenAI's or Anthropic's, and Chinese-lab origin still stalls procurement at some enterprises

Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.