DeepSeek V4 Flash 0731 vs Gemini 3.7 Flash: API pricing comparison
DeepSeek DeepSeek V4 Flash 0731 vs Google Gemini 3.7 Flash: 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.
DeepSeek V4 Flash 0731 vs Gemini 3.7 Flash: the short version
At the prices we quote, DeepSeek V4 Flash 0731 costs less than Gemini 3.7 Flash on input and on output: $0.0434 against $0.75 per 1M input tokens (94% less), and $0.30 against $3.75 per 1M output tokens (92% less). The price we quote for Gemini 3.7 Flash is a promotional rate: 50% off Google's standard $1.50 per 1M input tokens and $7.50 per 1M output tokens, and Google states the promotion ends on 31 Dec 2026. With the Support Ticket profile (1,500 input and 500 output tokens per request), 1,000 requests cost $0.22 on DeepSeek V4 Flash 0731 and $3.00 on Gemini 3.7 Flash at list price, 93% less on DeepSeek V4 Flash 0731. The context window is 1M tokens on both. DeepSeek V4 Flash 0731 is open source (MIT), so it can be self-hosted; Gemini 3.7 Flash is recorded here as proprietary, with access through an API. 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.
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
Gemini 3.7 Flash pricing (Google)
- Input: $0.75 per 1M tokens
- Output: $3.75 per 1M tokens
- Batch API (input/output): $0.375 / $1.875
- Prompt-cache read: $0.075
- Context window: 1M
- Arena ELO: 1489 (as of 2026-11-08)
- Full Gemini 3.7 Flash 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) | DeepSeek V4 Flash 0731 list price | DeepSeek V4 Flash 0731 after discounts | Gemini 3.7 Flash list price | Gemini 3.7 Flash after discounts |
|---|---|---|---|---|---|
| Support Ticket | 1,500 / 500 | $0.22 | $0.21 | $3.00 | $2.39 |
| Knowledge Q&A | 2,000 / 800 | $0.33 | $0.32 | $4.50 | $3.56 |
| Meeting Summary | 10,000 / 1,200 | $0.79 | $0.79 | $12.00 | $5.70 |
| Marketing Content | 2,500 / 1,800 | $0.65 | $0.64 | $8.63 | $8.29 |
| Coding Task | 3,000 / 2,000 | $0.73 | $0.72 | $9.75 | $8.74 |
| Invoice Processing | 1,500 / 600 | $0.25 | $0.24 | $3.38 | $1.55 |
| Call Summary | 2,000 / 700 | $0.30 | $0.30 | $4.13 | $2.00 |
| Agent Workflow | 6,000 / 3,000 | $1.16 | $1.13 | $15.75 | $12.92 |
Common questions about DeepSeek V4 Flash 0731 vs Gemini 3.7 Flash
- Which is cheaper, DeepSeek V4 Flash 0731 or Gemini 3.7 Flash?
- At the prices we quote, DeepSeek V4 Flash 0731 costs less than Gemini 3.7 Flash on input and on output: $0.0434 against $0.75 per 1M input tokens (94% less), and $0.30 against $3.75 per 1M output tokens (92% less). The price we quote for Gemini 3.7 Flash is a promotional rate: 50% off Google's standard $1.50 per 1M input tokens and $7.50 per 1M output tokens, and Google states the promotion ends on 31 Dec 2026. 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 DeepSeek V4 Flash 0731 and on Gemini 3.7 Flash?
- With the Support Ticket profile (1,500 input and 500 output tokens per request), 1,000 requests cost $0.22 on DeepSeek V4 Flash 0731 and $3.00 on Gemini 3.7 Flash at list price, 93% less on DeepSeek V4 Flash 0731. Prices as quoted on 2026-11-12.
- How do DeepSeek V4 Flash 0731 and Gemini 3.7 Flash compare on context window and licence?
- The context window is 1M tokens on both. DeepSeek V4 Flash 0731 is open source (MIT), so it can be self-hosted; Gemini 3.7 Flash is recorded here as proprietary, with access through an API.
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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.