GLM 5.2
glm-5.2GLM 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,... Built by Z.ai.
Prices updated
Input price
$0.17
per 1M tokens · Standard
Output price
$10
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
131K
tokens
Input formats
Output formats
GLM 5.2 price history
7 price records since 9/25/2026 · 5 changes
GLM 5.2 cost calculator
$53/month
Standard pricing
Overview
What is GLM 5.2?
GLM 5.2 is a text & reasoning model from Z.ai. 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,... Its 1M context window and $0.17 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
GLM 5.2 benchmarks & speed
How GLM 5.2 scores on standardized evaluations, and where it lands among every model we track.
33.7
Intelligence Index
94tok/s
Output speed
1293
DesignArena Elo
Reasoning
GPQA Diamond
89.5%
Graduate-level scientific reasoning · top 30%
HLE
41.1%
Humanity's Last Exam · top 19%
Coding
SciCode
51.2%
Python for scientific computing · top 46%
Latency & design
- Time to first token
- 2.93s
- DesignArena win rate
- 50.5%
- Design battles judged
- 54,713
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GLM 5.2 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.17
Per 1M tokens
Cached input · Standard
$0.16
Per 1M tokens
Capabilities
GLM 5.2 Tools
Tools available when using GLM 5.2 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Supported
Prompt caching
Supported
Where to run it
GLM 5.2 API providers
25 providers serve GLM 5.2. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| Relace | $0.02 | $16 | $0.02 | 1M | 99.99% |
| Wafer | $0.03 | $8.00 | $0.03 | 1M | 99.68% |
| InferenceNet | $0.03 | $7.50 | $0.03 | 1M | 99.7% |
| Morphfp8 | $0.17 | $3.18 | $0.15 | 1M | 99.64% |
| Decartmxfp4 | $0.33 | $2.04 | $0.13 | 1M | 99.99% |
| DeepInfrafp4 | $0.56 | $1.80 | $0.10 | 1M | 99.28% |
| StreamLakefp8 | $0.64 | $2.02 | $0.12 | 1M | 99.83% |
| Novitafp8 | $0.65 | $2.04 | $0.12 | 1M | 99.29% |
| DigitalOcean | $0.70 | $2.20 | $0.10 | 262K | 99.63% |
| SiliconFlowfp8 | $0.70 | $2.20 | $0.13 | 1M | 99.62% |
| CoreWeavefp4 | $0.76 | $2.42 | $0.14 | 1M | 97.92% |
| AtlasCloudfp8 | $0.94 | $2.95 | $0.17 | 1M | 99.66% |
| Alibabafp8 | $0.97 | $3.04 | $0.19 | 1M | 99.62% |
| Cloudflare | $1.18 | $4.40 | $0.26 | 262K | 99.92% |
| Phalafp8 | $1.26 | $3.00 | $0.22 | 1M | 99.3% |
| Inceptronfp4 | $1.39 | $4.39 | $0.25 | 1M | 99.92% |
| Mistralnvfp4 | $1.40 | $4.40 | $0.14 | 1M | 99.97% |
| BaseTenfp8 | $1.40 | $4.40 | $0.14 | 1M | 99.87% |
| Together | $1.40 | $4.40 | $0.26 | 1M | 99.26% |
| Baidufp8 | $1.40 | $4.40 | $0.26 | 1M | 99.95% |
| BaseTenfp8 | $1.40 | $4.40 | $0.14 | 1M | 99.78% |
| Venicefp8 | $1.40 | $4.40 | $0.26 | 1M | 99.43% |
| GMICloudfp8 | $1.40 | $4.40 | $0.26 | 1M | 99.1% |
| Parasailfp4 | $1.40 | $4.40 | $0.26 | 262K | 99.47% |
| Friendli | $1.40 | $4.40 | $0.26 | 1M | 99.9% |
- Input
- $0.02
- Output
- $16
- Cached
- $0.02
- Context
- 1M
- Uptime
- 99.99%
- Input
- $0.03
- Output
- $8.00
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.68%
- Input
- $0.03
- Output
- $7.50
- Cached
- $0.03
- Context
- 1M
- Uptime
- 99.7%
- Input
- $0.17
- Output
- $3.18
- Cached
- $0.15
- Context
- 1M
- Uptime
- 99.64%
- Input
- $0.33
- Output
- $2.04
- Cached
- $0.13
- Context
- 1M
- Uptime
- 99.99%
- Input
- $0.56
- Output
- $1.80
- Cached
- $0.10
- Context
- 1M
- Uptime
- 99.28%
- Input
- $0.64
- Output
- $2.02
- Cached
- $0.12
- Context
- 1M
- Uptime
- 99.83%
- Input
- $0.65
- Output
- $2.04
- Cached
- $0.12
- Context
- 1M
- Uptime
- 99.29%
- Input
- $0.70
- Output
- $2.20
- Cached
- $0.10
- Context
- 262K
- Uptime
- 99.63%
- Input
- $0.70
- Output
- $2.20
- Cached
- $0.13
- Context
- 1M
- Uptime
- 99.62%
- Input
- $0.76
- Output
- $2.42
- Cached
- $0.14
- Context
- 1M
- Uptime
- 97.92%
- Input
- $0.94
- Output
- $2.95
- Cached
- $0.17
- Context
- 1M
- Uptime
- 99.66%
- Input
- $0.97
- Output
- $3.04
- Cached
- $0.19
- Context
- 1M
- Uptime
- 99.62%
- Input
- $1.18
- Output
- $4.40
- Cached
- $0.26
- Context
- 262K
- Uptime
- 99.92%
- Input
- $1.26
- Output
- $3.00
- Cached
- $0.22
- Context
- 1M
- Uptime
- 99.3%
- Input
- $1.39
- Output
- $4.39
- Cached
- $0.25
- Context
- 1M
- Uptime
- 99.92%
- Input
- $1.40
- Output
- $4.40
- Cached
- $0.14
- Context
- 1M
- Uptime
- 99.97%
- Input
- $1.40
- Output
- $4.40
- Cached
- $0.14
- Context
- 1M
- Uptime
- 99.87%
- Input
- $1.40
- Output
- $4.40
- Cached
- $0.26
- Context
- 1M
- Uptime
- 99.26%
- Input
- $1.40
- Output
- $4.40
- Cached
- $0.26
- Context
- 1M
- Uptime
- 99.95%
- Input
- $1.40
- Output
- $4.40
- Cached
- $0.14
- Context
- 1M
- Uptime
- 99.78%
- Input
- $1.40
- Output
- $4.40
- Cached
- $0.26
- Context
- 1M
- Uptime
- 99.43%
- Input
- $1.40
- Output
- $4.40
- Cached
- $0.26
- Context
- 1M
- Uptime
- 99.1%
- Input
- $1.40
- Output
- $4.40
- Cached
- $0.26
- Context
- 262K
- Uptime
- 99.47%
- Input
- $1.40
- Output
- $4.40
- Cached
- $0.26
- Context
- 1M
- Uptime
- 99.9%
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Strengths and limitations
Strengths
- Low input cost at $0.17 per million tokens suits high-volume workloads.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 58× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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