GLM-5.2
Open-weight 744B-parameter frontier model from Zhipu AI built for coding, reasoning, and long-horizon agentic work, with a 1M-token context and an MIT license.
Updated 2026-06-27
Yes, within limits. GLM-5.2 runs a free tier with paid plans above it.
Listed pricing: Free 20M tokens on signup + open weights; paid API & coding plans (check site).
Overview
GLM-5.2 is Zhipu AI's latest open-weight large language model, a 744-billion-parameter system tuned for coding, multi-step reasoning, and long-horizon agentic tasks. Released June 13-14, 2026 under an MIT license, it ships with a 1M-token context window and is positioned to compete directly with closed frontier models from OpenAI, Anthropic, and Google — except you can download the weights and run them yourself.
The headline isn't just the benchmark numbers (Zhipu claims results competitive with, and on some coding and agentic evaluations ahead of, top proprietary models). It's the licensing. MIT is about as permissive as open weights get: no usage caps, no commercial restrictions, no revocable API terms. For teams that want a frontier-class coding model they fully control — fine-tuning, on-prem deployment, no data leaving their infrastructure — that combination is rare. Most "open" models at this tier carry restrictive community licenses; GLM-5.2 doesn't.
It's built for the agentic era specifically: long context plus tool-use orientation means it's aimed at coding agents that plan, call tools, and run for many turns rather than one-shot completions. You can try it free through the Z.ai chat interface, get 20M free tokens on API signup, or self-host the weights. The catch is the same one every massive open model carries — running 744B parameters locally is a serious hardware commitment, so for most users the hosted API or chat UI is the realistic path.
Is GLM-5.2 free?
Yes, within limits. GLM-5.2 runs a free tier with paid plans above it.
What the free tier covers: Free chat access plus 20M free tokens on API signup, and open weights available to download and self-host under MIT.
Listed pricing: Free 20M tokens on signup + open weights; paid API & coding plans (check site).
Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.
What the free tier leaves out
Read straight off the plan list below. Vendors move features between tiers, so check the current split before you pay.
- API (Pay-as-you-go) Check website for current pricing Token-based API access for production use beyond the free allotment, billed per input/output token.
- GLM Coding Plan Check website for current pricing Subscription tier aimed at developers using GLM inside coding agents and IDE integrations, with higher usage allowances than the free tier.
GLM-5.2 pricing
| Plan | Price | What's included |
|---|---|---|
| Free / Open Weights | $0 | Free access via the Z.ai chat interface, 20M free tokens on API signup, and full model weights downloadable under the MIT license for self-hosting and fine-tuning. |
| API (Pay-as-you-go) | Check website for current pricing | Token-based API access for production use beyond the free allotment, billed per input/output token. |
| GLM Coding Plan | Check website for current pricing | Subscription tier aimed at developers using GLM inside coding agents and IDE integrations, with higher usage allowances than the free tier. |
Free access via the Z.ai chat interface, 20M free tokens on API signup, and full model weights downloadable under the MIT license for self-hosting and fine-tuning.
Token-based API access for production use beyond the free allotment, billed per input/output token.
Subscription tier aimed at developers using GLM inside coding agents and IDE integrations, with higher usage allowances than the free tier.
2 plans carry no published number: API (Pay-as-you-go), recorded as “Check website for current pricing”; GLM Coding Plan, recorded as “Check website for current pricing”. Nothing is estimated in its place. The vendor's own pricing page is the only source for those figures.
Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.
Is GLM-5.2 worth it?
Worth it for Development teams building coding agents who want a frontier-class model they can self-host, fine-tune, and deploy under a fully permissive license.
You can test that on the free tier before paying anything. The recorded trade-offs are listed below, and any one of them can settle the question on its own.
The 8.7/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with GLM-5.2. How we verify.
Worth it if
The strengths recorded against this entry.
- MIT-licensed open weights — full commercial use, self-hosting, and fine-tuning with no revocable API terms
- 1M-token context handles whole codebases and long agent histories in one pass
- Benchmark results competitive with top closed frontier models, especially on coding and agentic tasks
- Genuinely free to start: chat UI, 20M signup tokens, or download the weights
- Strong fit for coding agents thanks to its long-horizon, tool-use orientation
Not worth it if
Any one of these blocks your use case.
- At 744B parameters, self-hosting demands serious GPU hardware — out of reach for most individual developers
- Vendor-published benchmarks need independent verification; real-world coding performance may vary from the claims
- Hosted API and coding-plan pricing isn't transparently listed, so budgeting requires checking the site
- As a model from Zhipu AI, some enterprises face data-residency or procurement constraints around China-based providers
What sets GLM-5.2 apart
- 744B-parameter model released as MIT-licensed open weights
- 1M-token context window for whole-codebase and long agent-history reasoning
- Tuned for long-horizon, multi-turn agentic coding rather than one-shot completions
- Free to start via chat UI, 20M signup tokens, or self-hosted weights
Key features
744B Open Weights
A 744-billion-parameter frontier model released as downloadable open weights under MIT, so teams can self-host, fine-tune, and deploy on their own infrastructure with no API lock-in or usage restrictions.
1M-Token Context
A one-million-token context window lets it ingest entire codebases, long document sets, or extended agent histories in a single pass — useful for whole-repo reasoning and long-running agent sessions.
Agentic Coding Focus
Tuned for long-horizon, multi-turn tasks where the model plans, calls tools, and iterates over many steps, rather than just one-shot completions — the workload that powers modern coding agents.
Free Access On Signup
Try it free in the Z.ai chat interface, claim 20M free tokens on API signup, or download the weights at no cost — multiple low-friction ways to evaluate before committing to a paid plan.
How it compares
| Tool | Best for | Pricing | Score |
|---|---|---|---|
| GLM-5.2 | Development teams building coding agents who want a frontier-class model they can self-host, fine-tune, and deploy under a fully permissive license. | Free 20M tokens on signup + open weights; paid API & coding plans (check site) | 8.7/10 |
| Cursor vs Cursor → | Professional developers handling complex, multi-file refactors who want AI built into a familiar VS Code-based editor. | Free Hobby + Individual $20/mo + Teams $40/user/mo + Enterprise Custom | 9.5/10 |
| GPT-5.5 vs GPT-5.5 → | Developers and teams needing a frontier reasoning model for agentic coding workflows and large-codebase context handling. | API: $5/$30 per 1M tokens (in/out). ChatGPT Plus $20/mo, Pro $200/mo | 9.4/10 |
| Claude Code vs Claude Code → | Developers who want an agent that works inside an existing repo and toolchain rather than in a hosted editor, and who already pay for a Claude plan. | Included with Claude Pro $17/mo, Max 5x $100/mo, Max 20x $200/mo, Team and Enterprise plans | 9.3/10 |
Compare head-to-head
Related reading
GLM-5.2: Z.ai Open Model Tops Coding Benchmarks
Z.ai's GLM-5.2 open-weights model beats GPT-5.5 on long-horizon coding benchmarks at a fraction of the cost, per VentureBeat.
DeepSeek V4.1-Flash Ships With New Architecture
DeepSeek added V4.1-Flash to its API on the date recorded in the September 10 changelog entry with 552B MoE parameters, native vision, and lower API rates.
Mistral €3bn Round Meets OpenAI Wiki Disclosure
Mistral closed a €3bn round above €21bn valuation while OpenAI outlined next steps on agent misalignment reporting from its recent incident.
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