DeepSeek V4.1 Flash 1017
DeepSeek's open-weight model for coding agents and document tasks with long context, served on Boundless.
Pricing
DeepSeek V4.1 Flash 1017 API pricing by provider
| Provider | Input | Cached | Output | Context |
|---|---|---|---|---|
| Boundless | $0.24 | $0.005 | $0.96 | 1M |
| DeepInfra | $0.08 | $0.002 | $0.24 | 1M |
| Together | $0.30 | $0.006 | $1.20 | 1M |
| Fireworks | $0.30 | $0.006 | $1.20 | 1M |
| Baseten | $0.30 | $0.007 | $1.20 | 1M |
US-based providers. Prices per 1M tokens. Source: OpenRouter
About the model
DeepSeek V4.1 Flash 1017 at a glance
Best for: Coding agents and document tasks with long context.
- Developer
- DeepSeek
- Context window
- 1M tokens
- Input
- Text, image
- Capabilities
- Reasoning, tool use, vision
Tailored inference
Want DeepSeek V4.1 Flash 1017 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": "deepseek/deepseek-v4.1-flash-1017",
"messages": [{
"content": "Say hello",
"role": "user"
}]
}'
FAQ
Questions before you commit
How much does DeepSeek V4.1 Flash 1017 cost on Boundless?
$0.24 per 1M input tokens, $0.005 per 1M cached input tokens and $0.96 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 V4.1 Flash 1017's context window on Boundless?
1M tokens, shared by the prompt and the reply. max_tokens can go up to that limit.
Does DeepSeek V4.1 Flash 1017 support tool calling?
Yes. DeepSeek V4.1 Flash 1017 supports tool use and reasoning.
Can I control how much DeepSeek V4.1 Flash 1017 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.
Can DeepSeek V4.1 Flash 1017 read images?
Yes. DeepSeek V4.1 Flash 1017 accepts text, image as input.
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 V4.1 Flash 1017 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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