GLM-5.2 pricing
GLM-5.2, Flagship-tier from inference.net, costs $1.30 per 1M input tokens and $4.40 per 1M output tokens.
Input$1.30per 1M tokens
Output$4.40per 1M tokens
Context window1Mtokens
TierFlagshipinference.net
Specs and pricing
| Provider | inference.net |
| Tier | Flagship |
| Context window | 1M tokens |
| Max output | 128K tokens |
| Input price | $1.30 / 1M tokens |
| Output price | $4.40 / 1M tokens |
| Cache read | $0.20 / 1M tokens |
| Modalities | text |
Note. Inference.net gateway price for GLM-5.2 (Z.ai), converted from the site's published per-token rate (costInputPerToken=0.000001, costOutputPerToken=0.000004 USD/token) to USD per 1M tokens: $1.3/1M input, $4.4/1M output, $0.2/1M cache read.
What it costs at realistic volumes
Assuming a 4:1 input:output token ratio, a common shape for chat and RAG-style workloads:
| Volume (4:1 in:out ratio) | Input cost | Output cost | Total / month |
|---|---|---|---|
| 1,000,000 in / 250,000 out | $1.30 | $1.10 | $2.40 |
| 10,000,000 in / 2,500,000 out | $13.00 | $11.00 | $24.00 |
| 100,000,000 in / 25,000,000 out | $130.00 | $110.00 | $240.00 |
Cheaper alternatives
Same tier (Flagship), a different provider, and a lower blended cost at the 4:1 ratio used above:
| Model | Provider | $/1M in | $/1M out | At the 4:1 ratio |
|---|---|---|---|---|
| Qwen3 235B A22B Instruct 2507 | Novita AI | $0.09 | $0.58 | 90.2% cheaper blended |
| GPT-OSS 120B | Groq | $0.15 | $0.60 | 87.5% cheaper blended |
| Qwen3 235B-A22B (2507) | Parasail | $0.14 | $0.80 | 85.8% cheaper blended |
| Llama 4 Maverick | Together AI | $0.27 | $0.85 | 79.9% cheaper blended |
| Llama 4 Maverick Instruct | Novita AI | $0.27 | $0.85 | 79.9% cheaper blended |