DeepSeek V4.1 Flash
by DeepSeekdeepseek/deepseek-v4.1-flash
LLMCompare cannot run DeepSeek V4.1 Flash 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 at a glance
- Context length
- 1,048,576 tokens
- Maximum output
- 943,718 tokens
- Accepts
- Text, Image
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
maxhighlownoneReasoning can be turned off.- Released
- 10 Sep 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
DeepSeek V4.1 Flash pricing by route
A route is the service LLMCompare calls to reach the model. DeepSeek V4.1 Flash 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 | $0.0239 | $0.375 | $0.00034 | openrouter.ai/deepseek/deepseek-v4.1-flash |
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 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
- $0.00021
- 1 credits
- Cost of 100 calls
- $0.0212
- 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 943,718 | 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
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
Description as published for this model. LLMCompare has not edited it.
Models to compare with DeepSeek V4.1 Flash
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 V4 Flash 0423DeepSeekdeepseek/deepseek-v4-flash | 1.05M | 944k | $0.091 | $0.182 | ReasoningJSONToolsCache | No route yet | ||
DeepSeek V3.2 ExpDeepSeekdeepseek/deepseek-v3.2-exp | 164k | 147k | $0.27 | $0.41 | JSONTools | No route yet | ||
DeepSeek V3.2DeepSeekdeepseek/deepseek-v3.2 | 164k | 65.5k | $0.28 | $0.42 | JSONToolsCache | No route yet | ||
Nemotron 3.5 Content SafetyNVIDIAnvidia/nemotron-3.5-content-safety | 131k | 118k | $0.20 | $0.20 | Vision | No route yet | ||
Step 3.5 FlashStepFunstepfun/step-3.5-flash | 262k | 65.5k | $0.10 | $0.30 | Tools | No route yet | ||
Ministral 3 14B 2512Mistralmistralai/ministral-14b-2512 | 262k | 210k | $0.20 | $0.20 | JSONToolsCacheVision | No route yet |
Questions about DeepSeek V4.1 Flash
- How much does DeepSeek V4.1 Flash cost?
- On the OpenRouter route, DeepSeek V4.1 Flash costs $0.0239 per 1 million input tokens and $0.375 per 1 million output tokens, in US dollars. Input tokens that DeepSeek V4.1 Flash reads from the prompt cache cost $0.00034 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of DeepSeek V4.1 Flash?
- DeepSeek V4.1 Flash has a context length of 1,048,576 tokens and returns up to 943,718 output tokens in one call.
- What inputs does DeepSeek V4.1 Flash accept?
- DeepSeek V4.1 Flash accepts these inputs: Text, Image. DeepSeek V4.1 Flash returns: Text.
- Which reasoning effort levels does DeepSeek V4.1 Flash support?
- DeepSeek V4.1 Flash supports these reasoning effort levels: max, high, low, none. Reasoning can be turned off for DeepSeek V4.1 Flash.
- Can I test DeepSeek V4.1 Flash on my own data?
- Not yet. LLMCompare lists the prices and parameters of DeepSeek V4.1 Flash, but no route to DeepSeek V4.1 Flash is configured on LLMCompare, so it cannot be selected for an evaluation.