DeepSeek V4 Flash
DeepSeek's open-weight model for low-cost text agents with long prompts and reusable prefixes, served on Boundless.
Pricing
DeepSeek V4 Flash API pricing by provider
| Provider | Input | Cached | Output | Context |
|---|---|---|---|---|
| Boundless | $0.04 | $0.02 | $0.21 | 1M |
| DeepInfra | $0.06 | $0.02 | $0.18 | 1M |
| Baseten | $0.13 | $0.03 | $0.26 | 1M |
| Together | $0.14 | $0.03 | $0.28 | 1M |
Prices per 1M tokens. Source: OpenRouter
About the model
DeepSeek V4 Flash at a glance
DeepSeek V4 Flash is the smaller, more efficient member of the DeepSeek V4 family, with 284B total and 13B active parameters. Hybrid attention keeps long prompts lower-cost to process, and you can adjust reasoning effort to trade speed for more deliberate answers.
From our model docs- Developer
- DeepSeek
- Context window
- 1M tokens
- Input
- Text
- Capabilities
- Reasoning, tool use
Tailored inference
Want DeepSeek V4 Flash tuned to your workload?
Our engineers benchmark it against your current model, tune how it's served for your traffic, and run it to your cost, latency and quality targets.
Talk to an engineerRun it
Switch with a base URL and a key
- 01
- 02
Point your SDK at Boundless
Change the base URL and key. For Anthropic SDKs, drop the /v1 and set max_tokens.
curl https://api.inference.boundless.network/v1/chat/completions \
-H "Authorization: Bearer $BOUNDLESS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "dsv4",
"messages": [{
"content": "Say hello",
"role": "user"
}]
}'
FAQ
Questions before you commit
How much does DeepSeek V4 Flash cost on Boundless?
$0.04 per 1M input tokens, $0.02 per 1M cached input tokens and $0.21 per 1M output tokens, billed from prepaid credits. Every response includes exact token counts, so any charge can be checked against these prices.
What is DeepSeek V4 Flash's context window on Boundless?
1M tokens, shared by the prompt and the reply. max_tokens can go up to that limit.
Does DeepSeek V4 Flash support tool calling?
Yes. DeepSeek V4 Flash supports tool use and reasoning.
Can I control how much DeepSeek V4 Flash reasons?
Yes. On chat completions, set reasoning_effort to none, low, medium or high, or leave it unset for the model's default. Size max_tokens for both the thinking and the reply.
What are the rate limits?
Each team has caps on tokens per minute, requests per minute and concurrent requests, shown on the usage page. Cached input doesn't count against them, and support can raise them for your team.
Does Boundless store my prompts or outputs?
No. Boundless never stores prompts or outputs and never trains on them. It keeps only what billing needs: token counts, model, timestamp and cost.
Can Boundless help me decide if DeepSeek V4 Flash fits my workload?
Yes. We test it against your current model on your own prompts, then tune and run it to your targets.
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