Z.ai: GLM 5.2

z-ai/glm-5-2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering

Modalities
In / out per 1M$0.05 / $7.00
Context1M
ReleasedJun 16, 2026

Providers

34 providers serve this model upstream.

Providers serving this model
ProviderInput /MOutput /MCache read /MLatency P50Throughput P50Uptime
Waferus$0.05$7.00$0.050.55s91 tps100%
Wafer$0.19$8.00$0.180.51s89 tps100%
Cloudflare$0.19$8.00$0.191.01s93 tps100%
DigitalOcean$0.70$2.20$0.100.64s65 tps100%
Basetenus · fp8$1.40$4.40$0.141.93s64 tps100%
Basetenfp8$1.40$4.40$0.141.83s64 tps100%
Z.aifp8$1.40$4.40$0.262.35s47 tps100%
Mistraleu$1.54$4.84$0.151.18s122 tps100%
Baseten Fastus · fp8$2.10$6.60$0.210.54s164 tps100%
Baseten Fastfp8$2.10$6.60$0.210.57s140 tps100%
Baidu Qianfan (fp4)fp4$2.25$7.88$0.560.86s74 tps100%
Alibaba Fastfp8$2.31$7.26$0.460.83s95 tps100%
Decart Fastfp4$2.50$9.00$0.540.47s345 tps100%
inference.netfp4$0.20$3.40$0.130.65s63 tps99.97%
Inceptroneu · fp4$0.69$3.15$0.141.55s45 tps99.97%
Friendli$1.40$4.40$0.260.26s115 tps99.95%
Venicefp8$1.40$4.40$0.261.81s53 tps99.9%
DeepInfraus · fp4$0.56$1.80$0.101.41s60 tps99.89%
Together$1.40$4.40$0.260.26s142 tps99.89%
CoreWeavefp4$0.76$2.42$0.140.51s177 tps99.87%
Baidu Qianfan (fp8)fp8$0.76$2.38$0.140.97s66 tps99.86%
NovitaAIfp8$0.65$2.04$0.121.50s68 tps99.81%
SiliconFlowfp8$0.70$2.20$0.131.89s71 tps99.75%
Morphfp8$0.08$6.00$0.140.94s33 tps99.66%
AtlasCloudfp8$0.94$2.95$0.171.41s43 tps99.64%
Mistral (nvfp4)nvfp4$1.40$4.40$0.140.71s98 tps99.6%
Alibaba Cloud Int.fp8$0.97$3.04$0.191.32s87 tps99.15%
Phalafp8$1.26$3.00$0.22——99.01%
Decartmxfp4$0.36$2.20$0.141.08s57 tps98.96%
GMICloudfp8$1.40$4.40$0.262.54s47 tps98.89%
Alibaba Cloud Int.us-east-1 · fp8$1.12$3.52$0.221.31s57 tps98.43%
StreamLakefp8$0.64$2.02$0.121.24s50 tps98%
Nebius Token Factoryfp4$1.40$4.40Variable0.59s159 tps97.97%
Parasailfp4$1.40$4.40$0.260.80s88 tps97.08%

Market-wide measurements, refreshed every 15 minutes. They describe who serves GLM 5.2 in general, not how ProjectCOZY routes your requests.

Pricing

List rates per 1M tokens — what GLM 5.2 costs pay-as-you-go elsewhere, not what you pay here.

Input
$0.05
per 1M tokens
Output
$7.00
per 1M tokens
Cache read
$0.05
per 1M cached tokens
Included in every pass
GLM 5.2 is included in every ProjectCOZY pass at no extra cost — one flat rate, no per-token metering. The rates above are there for comparison.

Performance

Time to first token and output speed across every provider, over the last 3 days.

0.0s20.0s40.0s60.0s80.0s
Oct 11, 12 AMOct 11, 8 AMOct 11, 4 PMOct 12, 12 AMOct 12, 8 AMOct 12, 4 PMOct 13, 12 AMOct 13, 8 AMOct 13, 4 PMOct 14, 12 AMOct 14, 8 AM
Alibaba Cloud Int. (us-east-1) StreamLake Baseten CoreWeave Parasail Baseten Fast Together AtlasCloud Wafer Baseten Fast (us) Phala DeepInfra (us) DigitalOcean Wafer (us) Baidu Qianfan (fp8) Mistral (nvfp4) NovitaAI Alibaba Cloud Int. Cloudflare Alibaba Fast Decart Fast Friendli Decart Venice Inceptron (eu) inference.net SiliconFlow Nebius Token Factory Z.ai Baseten (us) Morph Mistral (eu) Baidu Qianfan (fp4) GMICloud
0 tok/s1000 tok/s2000 tok/s3000 tok/s4000 tok/s
Oct 11, 12 AMOct 11, 8 AMOct 11, 4 PMOct 12, 12 AMOct 12, 8 AMOct 12, 4 PMOct 13, 12 AMOct 13, 8 AMOct 13, 4 PMOct 14, 12 AMOct 14, 8 AM
Alibaba Cloud Int. (us-east-1) StreamLake Baseten CoreWeave Parasail Baseten Fast Together AtlasCloud Wafer Baseten Fast (us) Phala DeepInfra (us) DigitalOcean Wafer (us) Baidu Qianfan (fp8) Mistral (nvfp4) NovitaAI Alibaba Cloud Int. Cloudflare Alibaba Fast Decart Fast Friendli Decart Venice Inceptron (eu) inference.net SiliconFlow Nebius Token Factory Z.ai Baseten (us) Morph Mistral (eu) Baidu Qianfan (fp4) GMICloud

Uptime

100% of requests were served successfully over the last 3 days, across all providers.

Last 3 daysAvailability 99.93%
Oct 11, 2:00 PMNow
Availability over the last 24 hoursAvailability 99.93%
100% 98% 97% 95%
Oct 13, 2:50 PMNow

Apps

Tools that most often run GLM 5.2, by tokens this week.

Activity

6446.1B tokens processed market-wide in the last month.

0100.0B200.0B300.0B400.0B
Sep 14Sep 19Sep 24Sep 29Oct 4Oct 9Oct 14
Tokens

FAQ

Which model id do I use for GLM 5.2?
z-ai/glm-5.2. Send it as the model field from any OpenAI-compatible client, against http://192.168.1.55/v1.
How much context does GLM 5.2 hold?
1,048,576 tokens per request, of which up to 943,718 can be the response.
What can it accept and return?
Input: text. Output: text.
What does GLM 5.2 cost on a pass?
Nothing beyond the pass itself. Pay-as-you-go elsewhere it lists at $0.05 per 1M input tokens and $7.00 per 1M output tokens.
Who built GLM 5.2?
Z.ai, in the GLM family.

Explore

Other models your pass can call.