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$0.01 / $6.80
Context1M
ReleasedJun 16, 2026

Providers

33 providers serve this model upstream.

Providers serving this model
ProviderInput /MOutput /MCache read /MLatency P50Throughput P50Uptime
Waferus · fp4$0.01$6.80$0.010.49s124 tps100%
SiliconFlowfp8$0.70$2.20$0.131.01s80 tps100%
Relacefp4$0.01$7.91$0.011.43s93 tps100%
StreamLakefp8$0.56$1.75$0.101.13s50 tps100%
NovitaAIfp8$0.65$2.04$0.121.96s57 tps100%
Z.aifp8$1.40$4.40$0.261.52s41 tps100%
Alibaba Cloud Int.us-east-1 · fp8$1.12$3.52$0.222.53s66 tps100%
Mistraleu$1.54$4.84$0.15——100%
Baidu Qianfan (fp4)fp4$2.25$7.88$0.560.97s63 tps100%
Baidu Qianfan (fp8)fp8$1.40$4.40$0.261.01s56 tps99.97%
Cloudflare$0.19$8.00$0.191.03s64 tps99.96%
Waferfp4$0.19$8.00$0.180.48s120 tps99.95%
DeepInfraus · fp4$0.56$1.80$0.101.19s35 tps99.95%
CoreWeavefp4$0.62$2.42$0.140.60s131 tps99.92%
Friendli$1.40$4.40$0.260.49s101 tps99.86%
DigitalOcean$0.70$2.20$0.101.11s71 tps99.81%
Parasailfp4$1.40$4.40$0.260.78s124 tps99.78%
Morphus · fp8$0.07$1.40$0.071.67s15 tps99.75%
Basetenus · fp8$1.40$4.40$0.142.52s48 tps99.71%
Alibaba Cloud Int.fp8$0.97$3.04$0.191.03s62 tps99.68%
Inceptroneu · fp4$1.40$4.40$0.161.81s44 tps99.66%
Basetenfp8$1.40$4.40$0.144.31s65 tps99.44%
Together$1.40$4.40$0.260.34s118 tps99.25%
Basetenfp8$2.10$6.60$0.210.40s249 tps99.22%
AtlasCloudfp8$0.94$2.95$0.171.55s59 tps99.21%
Basetenus · fp8$2.10$6.60$0.210.43s194 tps99.21%
Mistral (nvfp4)nvfp4$1.40$4.40$0.141.33s84 tps99.16%
Venicefp8$1.40$4.40$0.262.56s72 tps99.15%
Alibaba Cloud Int.fp8$2.31$7.26$0.460.83s85 tps98.99%
DeepInfraus · fp4$0.45$1.44$0.082.52s42 tps96.55%
GMICloudfp8$1.40$4.40$0.264.47s43 tps95.31%
Ambientfp8$0.60$2.00$0.1564.96s3 tps93.18%
Nebius Token Factoryfp4$1.40$4.40$0.1452.52s39 tps74.78%

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
$0.01
per 1M tokens
Output
$6.80
per 1M tokens
Cache read
$0.01
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.

0.0s50.0s100.0s150.0s200.0s
Oct 29, 12 AMOct 29, 8 AMOct 29, 4 PMOct 30, 12 AMOct 30, 8 AMOct 30, 4 PMOct 31, 12 AMOct 31, 8 AMOct 31, 4 PMNov 1, 12 AMNov 1, 8 AM
Relace StreamLake Baseten CoreWeave Parasail Baseten Together AtlasCloud Wafer Baseten (us) DeepInfra (us) DigitalOcean Wafer (us) Morph (us) Baidu Qianfan (fp8) Mistral (nvfp4) NovitaAI Alibaba Cloud Int. Cloudflare Alibaba Cloud Int. Friendli Ambient Baidu Qianfan (fp4) Venice Inceptron (eu) SiliconFlow Z.ai Baseten (us) Nebius Token Factory Alibaba Cloud Int. (us-east-1) GMICloud Mistral (eu) DeepInfra (us)
0 tok/s1000 tok/s2000 tok/s3000 tok/s4000 tok/s
Oct 29, 12 AMOct 29, 8 AMOct 29, 4 PMOct 30, 12 AMOct 30, 8 AMOct 30, 4 PMOct 31, 12 AMOct 31, 8 AMOct 31, 4 PMNov 1, 12 AMNov 1, 8 AM
Relace StreamLake Baseten CoreWeave Parasail Baseten Together AtlasCloud Wafer Baseten (us) DeepInfra (us) DigitalOcean Wafer (us) Morph (us) Baidu Qianfan (fp8) Mistral (nvfp4) NovitaAI Alibaba Cloud Int. Cloudflare Alibaba Cloud Int. Friendli Ambient Baidu Qianfan (fp4) Venice Inceptron (eu) SiliconFlow Z.ai Baseten (us) Nebius Token Factory Alibaba Cloud Int. (us-east-1) Mistral (eu) GMICloud DeepInfra (us)

Uptime

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

Last 3 daysAvailability 99.39%
Oct 29, 6:00 PMNow
Availability over the last 24 hoursAvailability 99.71%
100% 97% 93% 90%
Oct 31, 6:10 PMNow

Apps

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

Activity

4973.0B tokens processed market-wide in the last month.

0100.0B200.0B300.0B400.0B
Oct 2Oct 7Oct 12Oct 17Oct 22Oct 27Nov 1
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 https://minuykh.app/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 $0.01 per 1M input tokens and $6.80 per 1M output tokens.
Who built GLM 5.2?
Z.ai, in the GLM family.

Explore

Other models your pass can call.