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GLM 5.2 Fast
zhipuai·zhipuai/glm-5.2-fast·GA·Open weights·glm series·NEW
Efficient GLM model for fast reasoning, coding, and agent workflows
At a glance
Reference price$3.00 / $10.25 per 1M
Cache read $0.50 · Wafer
Lowest paid$1.45 / $4.50
Neuralwatt Gateway · 2.1× spread
Context1,048,576
⚠ Providers report 1,000,000–1,048,576; the table below is authoritative
Output limit131,072
Capabilities
✓ Reasoning✓ Tool use✓ Structured output✓ TemperatureAttachments
⚠ Providers report capability flags inconsistently
Modalities
TextImage
Knowledge cutoff—
Released / updated2026-06-13 / 2026-07-13
Quality & performance
Artificial Analysis doesn't cover this model (267 of 2059 have data). Quality data comes from independent evals covering widely used models.
Available at 6 providers6 with public prices
| Provider | Tier | Input | Output | Cache read | Cache write | Context | Output limit | Status |
|---|---|---|---|---|---|---|---|---|
| Neuralwatt | Gateway | $1.45 | $4.50 | $0.362 | — | 1,048,560 ⚠ | 1,048,560 | |
| Requesty | Gateway | $1.89 | $5.94 | $0.189 | — | 1,000,000 ⚠ | 131,072 | |
| Baseten zai-org/GLM-5.2-Fast | Cloud | $2.10 | $6.60 | $0.21 | — | 1,048,576 | 262,144 | |
| Vercel AI Gateway | Cloud | $2.10 | $6.60 | $0.21 | — | 1,000,000 ⚠ | 128,000 | |
| Fireworks AI accounts/fireworks/routers/glm-5p2-fast | Cloud | $2.10 | $6.60 | $0.21 | — | 1,048,575 ⚠ | 131,072 | |
| Wafer glm5.2-fast | Gateway | $3.00 | $10.25 | $0.50 | $0 | 1,048,576 | 131,072 |
Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.
Your usage cost
1Neuralwatt$384.50
2Requesty$470.88
3Baseten$523.20
4Vercel AI Gateway$523.20
5Fireworks AI$523.20
6Wafer$812.50
The cheapest paid channel is the only channel.
Benchmark
No upstream benchmark data for this model. For quality, see the Artificial Analysis intelligence score above.
Reasoning control
effort = noneeffort = loweffort = mediumeffort = higheffort = maxbudget_tokensToggle (on / off)effort = xhigh
Related models
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Price historyone sample accumulated per data sync
Input listOutput listMin blended