DeepSeek-V4-Pro vs GLM-5.2
Pricing & Specs
DeepSeek vs Zhipu AI, side by side from a live registry. Specs below, then benchmark both on your own task.
TL;DR: On a typical task (1K input + 500 output tokens), DeepSeek-V4-Pro and GLM-5.2 cost about the same. But per-token price is not cost per result: a cheaper model that needs more tokens, retries, or hand-holding can end up more expensive on your workload. The specs below are facts; which one is better at YOUR task is measurable, not guessable.
API Pricing: DeepSeek-V4-Pro vs GLM-5.2
| Tokens | DeepSeek-V4-Pro | GLM-5.2 |
|---|---|---|
| Input | $1.32 / 1M | $1.4 / 1M |
| Output | $3.96 / 1M | $4.4 / 1M |
| Cached input | $0.044 / 1M | $0.26 / 1M |
What that means in practice (1K input + 500 output tokens)
Specs Compared
| Spec | DeepSeek-V4-Pro | GLM-5.2 |
|---|---|---|
| Context window | 1M tokens | 262.144K tokens |
| Max output tokens | 384K tokens | - |
| Input modalities | text | text |
| Knowledge cutoff | - | - |
| Latency (measured) | - | - |
| Reasoning model | Yes | Yes |
| Tool / function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | No |
When to Choose Which
FAQ
Which is cheaper, DeepSeek-V4-Pro or GLM-5.2?
DeepSeek-V4-Pro costs $1.32/$3.96 per 1M input/output tokens; GLM-5.2 costs $1.4/$4.4. On a typical task (1K input + 500 output tokens), DeepSeek-V4-Pro and GLM-5.2 cost about the same.
Which has the bigger context window, DeepSeek-V4-Pro or GLM-5.2?
DeepSeek-V4-Pro has a 1M-token context window; GLM-5.2 has 262.144K tokens.
Is DeepSeek-V4-Pro better than GLM-5.2?
It depends on the task. Generic leaderboards won't tell you which one wins on YOUR workload. OpenMark lets you benchmark DeepSeek-V4-Pro and GLM-5.2 head to head on your own task with real API calls, no API keys needed, free tier available.
DeepSeek-V4-Pro or GLM-5.2 for YOUR Task?
Spec tables can't answer that. Run both head to head on your actual workload:
real API calls, ranked results with accuracy, cost, and latency. Free tier available.