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ToolChatbotsfreemiumactiveBelow 8
6.5/10Useful
Active

Free Flash models / GLM-5.2 API $1.40/M input, $4.40/M output

Best plan

Free Flash models / GLM-5

Risk: International teams should validate language coverage...

Try GLM (ChatGLM) free

Editorial · no paid placements

Should you use it?

GLM is Z.AI's LLM family. GLM-5.2 is the current flagship in public docs: 1M context, long-horizon agentic engineering positioning, MIT Hugging Face weights, and API pricing at $1.40/M input and $4.40/M output. Pick it for open-weight agentic coding evaluation; skip for polished English consumer chat or lowest-cost API work.

  • Buy ifAgentic coding and SWE-bench-style tasks
  • PickFree Flash models / GLM-5.2 API $1.40/M input, $4.40/M output
  • Skip ifPolished English consumer chat

Plan guidance

What to buy

Best planFree Flash models / GLM-5.2 API $1.40/M input, $4.40/M output

Watch: International teams should validate language coverage...

Price rangeFree Flash models / GLM-5.2 API $1.40/M input, $4.40/M output

Use the official pricing page before purchase because AI plans change often.

Upgrade only ifNot for polished english consumer chat

International teams should validate language coverage...

Fit

Use it for this, skip it for that

Best for

  • Agentic coding and SWE-bench-style tasks
  • Developers wanting open MIT frontier coding weights
  • Bilingual Chinese-English professional workflows
  • Teams evaluating Chinese frontier-model APIs and open releases

Avoid if

  • Polished English consumer chat
  • Teams needing Western data residency on hosted API
  • Users prioritizing writing quality over coding
Watch out
International teams should validate language coverage, API availability, compliance, and documentation fit before treating GLM as a drop-in OpenAI or Anthropic alternative.

Alternatives

Best swaps

ChatGPT

OpenAI's flagship AI assistant, with GPT-5 models, image generation, Codex coding agent, voice, and agent mode across web, mobil

$0-$200/month · 9.5/10Claude

Anthropic's AI assistant. Strongest on long-context reasoning, agentic coding, and long-form writing.

$0-$200/month · 9.3/10Ollama

Local open-model runtime plus optional Ollama Cloud inference. Free local runtime; Cloud Pro $20/mo or $200/yr; Max $100/mo; Tea

$0 local / $20-$100/mo cloud · 9/10
Build comparison
Proof and score mathVerified Jun 25

Proof

Why this recommendation is trusted

EvidenceZ.AI GLM-5.2 launch post
Source
Registered source
Freshness
Review due
Confidence
Low confidence
Verified
Review
Volatility
Volatile

Stale source glm-pricing.

Editorial score

Unweighted average of 4 axes · confidence high

  • Utility7/10

    How much real work it can do for a competent operator, end to end.

  • Value8/10

    What you get for the dollar relative to the closest alternative.

  • Moat4/10

    How hard it would be for a competitor to replicate the underlying advantage.

  • Longevity7/10

    How likely the product is to still be best-in-class 24 months out.

Verified facts

  1. Best ForBest for teams comparing Chinese frontier/open-weight model options, especially when Z.AI API access, GLM-5.2 open weights, 1M context, and agentic coding workflows matter.
    highDrifts2026-06-25Z.AI GLM-5.2 launch post
  2. Pricing AnchorZ.AI pricing lists GLM-5.2 and GLM-5.1 at $1.40/M input tokens, $0.26/M cached input tokens, limited-time free cached-input storage, and $4.40/M output tokens; GLM-5 at $1.00/M input and $3.20/M output; several Flash models remain free.
    highVolatile2026-06-25Z.AI pricing
  3. Flagship ModelGLM-5.2 is Z.AI's current flagship model in public documentation, with 1M context, long-horizon coding-agent positioning, and an MIT-licensed Hugging Face release.
    highVolatile2026-06-25GLM-5.2 on Hugging Face
  4. Watch Out ForInternational teams should validate language coverage, API availability, compliance, and documentation fit before treating GLM as a drop-in OpenAI or Anthropic alternative.
    highDrifts2026-06-25Z.AI GLM docs
  5. Api AvailableZ.AI provides hosted API access, OpenAI-compatible examples, official SDK examples, tool/function calling, context caching, structured output, and MCP support for GLM-family models.
    highDrifts2026-06-25Z.AI GLM docs
  6. Open Source Or LocalGLM-5.2 and GLM-5.1 are available on Hugging Face under MIT licensing; GLM-5.2 is the current long-horizon flagship, while GLM-5.1 remains a documented local-serving path.
    highDrifts2026-06-25GLM-5.2 on Hugging Face
Full review notesLong-form details, FAQ, and source history

Zhipu AI’s GLM LLM family now surfaces publicly through Z.AI. The current flagship in Z.AI’s public documentation is GLM-5.2, a long-horizon agentic engineering model with 1M context, flexible coding effort modes, OpenAI-compatible hosted pricing, and an MIT-licensed Hugging Face release.

Z.AI’s June 2026 GLM-5.2 launch positions it as a substantial long-horizon upgrade over GLM-5.1, with more stable 1M-token context for coding-agent trajectories. GLM-5.1 remains relevant as the prior open-weight model, but it is no longer the page’s current flagship anchor.

System Verdict

Pick GLM if you need an open-weight coding model near the long-context frontier. GLM-5.2 is downloadable under MIT, keeps the GLM family in the OpenAI-compatible API lane, and is explicitly tuned for long-horizon agentic engineering tasks.

Skip it if you want a polished English consumer product or the cheapest API. Z.AI chat is functional but secondary to API/open-weight evaluation. DeepSeek and Qwen can be cheaper or broader depending on the model and region.

Who uses which surface: Flash models for free/light tests, GLM-5.2 API for long-context and agentic engineering experiments, and self-hosted GLM-5.2 weights when MIT licensing and local control matter.

Key Facts
Flagship modelGLM-5.2 (released June 2026 under MIT)
Previous flagshipGLM-5.1
ArchitectureMoE; verify exact GLM-5.2 parameter and serving configuration from the active model card before capacity planning
Context window1M tokens for GLM-5.2
Max outputVerify per hosted route and local-serving configuration
Coding angleLong-horizon coding-agent trajectories with flexible effort modes
SWE-bench Verified77.8% (GLM-5)
API pricingGLM-5.2 and GLM-5.1 $1.40/M input, $0.26/M cached input, and $4.40/M output · GLM-5 $1.00/M input and $3.20/M output
Free tierFlash models listed as free in the Z.AI pricing table
LicenseMIT on GLM-5.2 weights

Every data point above was verified on 2026-06-25. See Sources.

What it actually is

A single LLM family covering two audiences: developers calling the API or self-hosting weights, and consumers chatting at z.ai or chatglm.cn. The model family is optimized for agentic engineering and long-horizon coding, not generalist chat.

GLM-5.2 ships as open weights under MIT on Hugging Face. That combination, MIT license plus long-horizon coding positioning, is rare. Most labs at this tier keep weights closed.

The real moat is the open-weight, long-horizon coding-and-agent positioning. The consumer chat product is secondary to API, local serving, and agentic engineering evaluation.

When to pick GLM

  • Agentic coding workloads. Z.AI positions GLM-5.2 around long-running engineering loops, flexible effort modes, tool use, and iterative optimization across a 1M-token context.
  • Cursor, Cline, or Continue.dev backend swap. examples and tool/function calling, so it can slot into editors and agents that accept custom OpenAI-style endpoints.
  • Self-hosted frontier coding. MIT-licensed GLM-5.2 weights permit local deployment, fine-tuning, and commercial use without licensing fees.
  • Long-context engineering and office tasks. Z.AI’s GLM-5.2 materials emphasize 1M-token context for long-horizon work; verify the exact hosted route, output limit, and tool support before production use.
  • Bilingual Chinese-English technical work. Legal, finance, and engineering teams operating across both languages get trained-in-parallel fluency.

When to pick something else

  • Cheapest API for general chat: DeepSeek or Qwen, depending on current endpoint and region.
  • Polished English writing: Claude Opus 4.8 or ChatGPT. GLM’s English is functional, but not the main reason to choose it.
  • Broadest open-weight coverage: Qwen. Apache 2.0 across more sizes, wider language coverage, more active monthly releases.
  • Google Workspace integration: Gemini. GLM has no Workspace hooks.
  • Consumer-grade product polish: ChatGPT or Claude. Z.ai chat is developer-adjacent, not consumer-first.

Pricing

Usage pricing via Z.AI pricing. Z.AI also lists free Flash models for lightweight tests; teams still need to verify regional availability, account limits, and any private-contract terms before committing production traffic.

Plan / ModelPriceNotes
GLM-5.2$1.40/M input, $0.26/M cached input, $4.40/M outputCurrent flagship for long-horizon agentic engineering and 1M context; cached-input storage currently listed as limited-time free
GLM-5.1$1.40/M input, $0.26/M cached input, $4.40/M outputPrior flagship; still listed in the pricing table with the same cached-input row
GLM-5$1.00/M input, $3.20/M outputPrevious flagship in the Z.AI price table
GLM-5-Air$0.10/M input, $1.00/M outputLower-cost GLM-5 family endpoint
GLM-5-FlashFreeLightweight/free endpoint in the current price table
GLM-4.7-FlashFreeLegacy free Flash endpoint
GLM-4.5-FlashFreeLegacy free Flash endpoint

Prices verified 2026-06-25 via Z.AI pricing. Self-hosting GLM-5.2 weights can avoid hosted API usage fees, but it shifts cost to GPUs, serving infrastructure, monitoring, and security review.

Against the alternatives

GLM-5.2ClaudeDeepSeekQwen
Open weightsMIT for GLM-5.2Closed for frontier Claude modelsOpen and hosted options vary by modelBroad open-weight family coverage
Coding/agent angle, MCPPolished reasoning and coding assistant experienceCost-efficient reasoning and coding alternativesStrong multilingual and open-model coverage
API input price$1.40/M on GLM-5.2Higher frontier-model pricingOften cheaper, depending on endpointVaries by model and region
Context window1MLarger Claude windows on selected plans/modelsVaries by modelVaries by model
English polishFunctionalStrongestModerateModerate
Best viewed asOpen-weight coding leaderReasoning specialistCheap capable APIOpen-weight multilingual

Failure modes
  • Not the cheapest general API. GLM-5.2 pricing is attractive for open-weight frontier coding evaluation, but general chat workloads should still compare DeepSeek, Qwen, and other lower-cost endpoints.
  • Z.ai consumer UX lags. The chat interface is functional in English but built for a Chinese-first audience. Menu labels, error messages, and onboarding trail ChatGPT or Claude.
  • Thin competitive moat. SWE-Bench leaderboard positions shift monthly. DeepSeek, Qwen, and Kimi are all active challengers with comparable release cadence.
  • Output-heavy tasks can get expensive. GLM-5.2 output is $4.40/M tokens in the public price table, so agent loops that emit long plans, patches, logs, or reports need caps.
  • Third-party tutorials are thinner. Smaller global developer community than ChatGPT or Claude. Fewer Stack Overflow threads, fewer YouTube walkthroughs.
  • may not satisfy every compliance program. International teams should review data residency, account availability, logging, and procurement terms. Self-hosted weights are the workaround when local control matters.

Methodology

This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies pricing and model details against primary sources, and generates the editorial analysis you are reading. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility, Value, Moat, Longevity; unweighted average). Last verified 2026-06-25 against Z.AI GLM-5.2 launch materials, Z.AI pricing, and GLM-5.2 on Hugging Face.

FAQ

Is GLM free to use? Partially. Z.AI lists Flash models as free in the public pricing table. GLM-5.2 is paid on the hosted API at $1.40/M input and $4.40/M output, or can be self-hosted from MIT-licensed weights if the team has infrastructure.

What changed between GLM-5.1 and GLM-5.2? Z.AI’s current public docs position GLM-5.2 as the flagship long-horizon agentic engineering model. Compared with GLM-5.1, GLM-5.2 adds the 1M-token context story, flexible coding effort modes, and a new MIT Hugging Face release while keeping the same $1.40/M input and $4.40/M output hosted price row.

Can I use GLM with Cursor or VS Code? Usually, yes. GLM docs include OpenAI-compatible examples. Use a custom endpoint in Cursor, Cline, Continue.dev, or any editor that accepts a custom OpenAI-style endpoint, then verify exact model ID, latency, context behavior, and tool-calling behavior before relying on it for autonomous edits.

Is GLM faster or slower than Claude or GPT? Inference depends on the deployment. Self-hosted GLM-5.2 performance depends on hardware, quantization performance varies with regional load.

Sources
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According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/glm/)
aipedia.wiki Editorial. (2026). GLM (ChatGLM): Editorial Review. aipedia.wiki. Retrieved August 3, 2026, from https://aipedia.wiki/tools/glm/
aipedia.wiki Editorial. "GLM (ChatGLM): Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/glm/. Accessed August 3, 2026.
aipedia.wiki Editorial. 2026. "GLM (ChatGLM): Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/glm/.
@misc{glm-chatglm-editorial-review-2026, author = {{aipedia.wiki Editorial}}, title = {GLM (ChatGLM): Editorial Review}, year = {2026}, publisher = {aipedia.wiki}, url = {https://aipedia.wiki/tools/glm/}, note = {Accessed: 2026-08-02} }
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