DeepSeek V4.1 Flash 1017
by DeepSeekdeepseek/deepseek-v4.1-flash-1017
LLMCompare cannot run DeepSeek V4.1 Flash 1017 yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowDeepSeek V4.1 Flash 1017 at a glance
- Context length
- 1,048,576 tokens
- Maximum output
- 393,216 tokens
- Accepts
- Text, Image
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
maxhighlownoneReasoning can be turned off.- Released
- 17 Oct 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
DeepSeek V4.1 Flash 1017 pricing by route
A route is the service LLMCompare calls to reach the model. DeepSeek V4.1 Flash 1017 has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.15 | $0.60 | $0.003 | openrouter.ai/deepseek/deepseek-v4.1-flash-1017 |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to DeepSeek V4.1 Flash 1017 costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
Billed in addition to the output tokens.
- Cost per call
- $0.00045
- 1 credits
- Cost of 100 calls
- $0.045
- 100 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 393,216 | Provider default |
reasoning_effort | One of | maxhighlownone | high |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
Description as published for this model. LLMCompare has not edited it.
Models to compare with DeepSeek V4.1 Flash 1017
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
DeepSeek V3.2DeepSeekdeepseek/deepseek-v3.2 | 164k | 65.5k | $0.28 | $0.42 | JSONToolsCache | No route yet | ||
DeepSeek V3.2 ExpDeepSeekdeepseek/deepseek-v3.2-exp | 164k | 147k | $0.27 | $0.41 | JSONTools | No route yet | ||
DeepSeek V4 Flash Vision ExpDeepSeekdeepseek/deepseek-v4-flash-vision-exp | 1.05M | 262k | $0.2156 | $0.6468 | ReasoningJSONToolsCacheVision | No route yet | ||
LFM2.5-24B-A2BLiquidAIliquid/lfm-2.5-24b-a2b | 128k | 8.2k | $0.05 | $0.70 | JSONToolsCache | No route yet | ||
Solar Pro 4Upstageupstage/solar-pro4 | 524k | 131k | $0.15 | $0.60 | ReasoningJSONToolsCache | No route yet | ||
Mistral Small 4Mistralmistralai/mistral-small-2603 | 262k | 210k | $0.15 | $0.60 | ReasoningJSONToolsCacheVision | No route yet |
Questions about DeepSeek V4.1 Flash 1017
- How much does DeepSeek V4.1 Flash 1017 cost?
- On the OpenRouter route, DeepSeek V4.1 Flash 1017 costs $0.15 per 1 million input tokens and $0.60 per 1 million output tokens, in US dollars. Input tokens that DeepSeek V4.1 Flash 1017 reads from the prompt cache cost $0.003 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of DeepSeek V4.1 Flash 1017?
- DeepSeek V4.1 Flash 1017 has a context length of 1,048,576 tokens and returns up to 393,216 output tokens in one call.
- What inputs does DeepSeek V4.1 Flash 1017 accept?
- DeepSeek V4.1 Flash 1017 accepts these inputs: Text, Image. DeepSeek V4.1 Flash 1017 returns: Text.
- Which reasoning effort levels does DeepSeek V4.1 Flash 1017 support?
- DeepSeek V4.1 Flash 1017 supports these reasoning effort levels: max, high, low, none. Reasoning can be turned off for DeepSeek V4.1 Flash 1017.
- Can I test DeepSeek V4.1 Flash 1017 on my own data?
- Not yet. LLMCompare lists the prices and parameters of DeepSeek V4.1 Flash 1017, but no route to DeepSeek V4.1 Flash 1017 is configured on LLMCompare, so it cannot be selected for an evaluation.