GLM 5.2 vs DeepSeek V4 Flash 0731: API pricing comparison
Zhipu GLM 5.2 vs DeepSeek DeepSeek V4 Flash 0731: token prices, batch and cache rates, Arena ELO, and cost per request for 8 business use cases. Prices in USD per 1 million tokens. Data snapshot: 2026-11-12.
GLM 5.2 vs DeepSeek V4 Flash 0731: the short version
At the prices we quote, neither is cheaper on both sides: GLM 5.2 costs less on input ($0.007 against $0.0434 per 1M tokens, 84% less), while DeepSeek V4 Flash 0731 costs less on output ($0.30 against $6.80 per 1M tokens, 96% less). The price we quote for GLM 5.2 is an outlier listing: one host's rate with input near free and output at or above the going rate, not what most hosts charge, so a cost built on it can be far from what you would pay. With the Support Ticket profile (1,500 input and 500 output tokens per request), 1,000 requests cost $3.41 on GLM 5.2 and $0.22 on DeepSeek V4 Flash 0731 at list price, 94% less on DeepSeek V4 Flash 0731. The context window is 1M tokens on both. Both are open source, under MIT, so both can be self-hosted as well as bought by the token. Prices as quoted on 2026-11-12. Each price is the list price of one host, the one we quote for that model. A model sold by several hosts has other prices, listed on its model page.
GLM 5.2 pricing (Zhipu)
- Input: $0.007 per 1M tokens
- Output: $6.80 per 1M tokens
- Batch API (input/output): not published
- Prompt-cache read: $0.006
- Context window: 1M
- Arena ELO: 1469 (as of 2026-11-08)
- Full GLM 5.2 pricing page
DeepSeek V4 Flash 0731 pricing (DeepSeek)
- Input: $0.0434 per 1M tokens
- Output: $0.30 per 1M tokens
- Batch API (input/output): not published
- Prompt-cache read: $0.035
- Context window: 1M
- Full DeepSeek V4 Flash 0731 pricing page
Cost per 1,000 requests by business use case
List price vs after discounts (prompt caching on the cached input share, batch API for async workloads, only where the provider publishes those rates).
| Use case | Tokens (in/out) | GLM 5.2 list price | GLM 5.2 after discounts | DeepSeek V4 Flash 0731 list price | DeepSeek V4 Flash 0731 after discounts |
|---|---|---|---|---|---|
| Support Ticket | 1,500 / 500 | $3.41 | $3.41 | $0.22 | $0.21 |
| Knowledge Q&A | 2,000 / 800 | $5.45 | $5.45 | $0.33 | $0.32 |
| Meeting Summary | 10,000 / 1,200 | $8.23 | $8.23 | $0.79 | $0.79 |
| Marketing Content | 2,500 / 1,800 | $12.26 | $12.26 | $0.65 | $0.64 |
| Coding Task | 3,000 / 2,000 | $13.62 | $13.62 | $0.73 | $0.72 |
| Invoice Processing | 1,500 / 600 | $4.09 | $4.09 | $0.25 | $0.24 |
| Call Summary | 2,000 / 700 | $4.77 | $4.77 | $0.30 | $0.30 |
| Agent Workflow | 6,000 / 3,000 | $20.44 | $20.44 | $1.16 | $1.13 |
Common questions about GLM 5.2 vs DeepSeek V4 Flash 0731
- Which is cheaper, GLM 5.2 or DeepSeek V4 Flash 0731?
- At the prices we quote, neither is cheaper on both sides: GLM 5.2 costs less on input ($0.007 against $0.0434 per 1M tokens, 84% less), while DeepSeek V4 Flash 0731 costs less on output ($0.30 against $6.80 per 1M tokens, 96% less). The price we quote for GLM 5.2 is an outlier listing: one host's rate with input near free and output at or above the going rate, not what most hosts charge, so a cost built on it can be far from what you would pay. Prices as quoted on 2026-11-12. Each price is the list price of one host, the one we quote for that model. A model sold by several hosts has other prices, listed on its model page.
- What do 1,000 Support Ticket requests cost on GLM 5.2 and on DeepSeek V4 Flash 0731?
- With the Support Ticket profile (1,500 input and 500 output tokens per request), 1,000 requests cost $3.41 on GLM 5.2 and $0.22 on DeepSeek V4 Flash 0731 at list price, 94% less on DeepSeek V4 Flash 0731. Prices as quoted on 2026-11-12.
- How do GLM 5.2 and DeepSeek V4 Flash 0731 compare on context window and licence?
- The context window is 1M tokens on both. Both are open source, under MIT, so both can be self-hosted as well as bought by the token.
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These are list prices: real cost also depends on caching, batching, negotiated discounts, marketplace agreements, and existing contracts. Get a FinOps review from OptimNow or compare all models.