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ZAIReleased on Jun 16, 2026

GLM-5.2: Benchmarks, Pricing & Context Window

GLM-5.2 is a language model from ZAI, released in June 2026, with a 1.0M-token context window, and pricing from $0.750/M input, $0.140/M cached input, $2.40/M output.

GLM-5.2 is Z.AI's flagship foundation model built for long-horizon tasks, delivering a solid 1M-token context that stably sustains long, messy coding-agent trajectories. It improves substantially over GLM-5.1, becoming the strongest

Input
Text
Output
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GLM-5.2 benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for GLM-5.2 across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How GLM-5.2 holds up as conversations get longer.

Quality Tracker

GLM-5.2 Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Sun Sep 13 2026
Notice missing or incorrect data?

GLM-5.2 pricing

Providers

GLM-5.2 starts at $0.750 per million input tokens and $2.40 per million output tokens via DeepInfra. Reused prompt prefixes cost $0.140 per million cached input tokens. See all 6 providers below with their per-token pricing, latency, throughput, and modality support.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
DeepInfra logoDeepInfra
$0.750$0.140$2.401.0M/1.0M
/
Fireworks logoFireworks
$1.40$4.401.0M/131.1K
/
FriendliAI logoFriendliAI
$1.40$0.260$4.401.0M/131.1K
/
Novita logoNovita
$1.40$0.260$4.401.0M/131.1K
/
Together logoTogether
$1.40$4.401.0M/131.1K
/
ZAI logoZAI
$1.40$4.401.0M/128.0K
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

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GLM-5.2 model size

GLM-5.2 has 753 billion parameters. See how it compares to other models in the same parameter range.

Parameters
753BMoE
Frontier (200B+)
753B
1B7B70B405B

GLM-5.2 context window

Input and output token limits for GLM-5.2, plus how it ranks on long-context understanding.

InputOutput
1.0Mtokens
1.0Mtokens
1.6k pages of text
1.0M
8K128K1M

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GLM-5.2

GLM-5.2 latency

GLM-5.2 time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

GLM-5.2 examples

Recent arena outputs from GLM-5.2, picked from the highest-ranked matchups.

GLM-5.2 license

GLM-5.2 is released under the MIT license, which permits commercial use, has 753.0B parameters.

License
MIT
Commercial use allowed
Parameters
753.0B

MIT License - allows commercial use

GLM-5.2 resources

Official sources for GLM-5.2: provider documentation, official playground, paper or system card, official launch post, source repository, model weights.

GLM-5.2 vs other models

The most-compared alternatives to GLM-5.2 are Claude Opus 4.6, GPT-5.2, Kimi K2.6. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like GLM-5.2

Models ranked just above and below GLM-5.2 by LLM Stats score.

 

Claude Opus 4.6

Score pending
 

GPT-5.2

Score pending
 

Kimi K2.6

Score pending
 

Muse Spark 1.1

Score pending
 

Qwen3.8 Flash

Score pending
 

Qwen3.8-Flash-Next

Score pending

FAQ

Common questions about GLM-5.2.

When was GLM-5.2 released?

GLM-5.2 was released on June 16, 2026 by ZAI. This is the official GLM-5.2 release date tracked on LLM Stats.

How much does GLM-5.2 cost?

GLM-5.2 pricing starts at $0.75 per million input tokens, $0.14 per million cached input tokens, $2.40 per million output tokens via DeepInfra, the lowest price among tracked providers.

How big is GLM-5.2?

GLM-5.2 has 753 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created GLM-5.2?

GLM-5.2 was created by ZAI.

What is the license for GLM-5.2?

GLM-5.2 is released under the MIT license. This is an open-source / open-weight license that permits self-hosting.

Where can I use GLM-5.2?

GLM-5.2 is available through 6 providers including DeepInfra, Fireworks, FriendliAI, and 3 more.

Where is the GLM-5.2 paper or technical report?

GLM-5.2 has a paper or technical report available at https://arxiv.org/abs/2602.15763. Use that source for architecture, training, release and evaluation details.

What models should I compare GLM-5.2 against?

Common GLM-5.2 comparisons include GLM-5.2 vs Claude Opus 4.6, GLM-5.2 vs GPT-5.2, GLM-5.2 vs Kimi K2.6. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.