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...
Context
1Mtokens
About 1,498 pages of text at once
Max output
944Ktokens
About 1,348 pages in one answer
Intelligence
—
No score published for this model.
Output speed
108tokens/s
A 500-word answer in about 6.5 s
From public market statistics for this model
First token
0.6s
Reasoning models start later
From public market statistics for this model
Health, 30 days
98.27%
7 of 30 days without a fault
IranRouter’s measurements
Price & cost
Every rate in Rial. A request pays only for the tokens it actually uses.
| Input | 123,209 | IRR / 1M tokens |
|---|---|---|
| Output | 1,368,988 | IRR / 1M tokens |
| Reasoning tokensThe output rate | 1,368,988 | IRR / 1M tokens |
| Cache read | 16,428 | IRR / 1M tokens |
| Image input tokensThe input rate | 123,209 | IRR / 1M tokens |
With prompt caching, the fixed part of your prompt is billed at the cache-read rate on later requests.
What would this model cost you a month?
Monthly cost
35.73MIRR
1.19M IRR a day, 596 IRR each request
30 days at today’s rate.
Rial price over 90 days
It moves with the exchange rate; the steps are the maker’s own price changes. Built at today’s margin, so approximate if the margin changed in the window.
Performance, 30 days
Health is measured by IranRouter itself: a day counts as healthy unless requests to this model failed on our side or it could not be served. First token and speed come from IranRouter’s traffic, and from public market statistics for this model on days without enough of it.
Daily health98.27%
Time to first token0.84 s
Output speed103 tokens/s
Place in the market
By usage across the global model market.
Daily rank#3
Share of the day’s tokens6.0%
Capabilities
- Input
- TextImage
- Output
- Text
Parameters it accepts
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_atop_ktop_logprobstop_pOther benchmarks
Standard tests
- GPQA DiamondScore: 89%Tasks: 1,188
- τ-bench Verified AirlineScore: 76%Tasks: 300
Start in a minute
The official OpenAI and Anthropic SDKs; only the address and the key change.
https://iranrouter.com/v1deepseek/deepseek-v4.1-flash# pip install openai from openai import OpenAI client = OpenAI( base_url="https://iranrouter.com/v1", api_key="ir-...", ) r = client.chat.completions.create( model="deepseek/deepseek-v4.1-flash", messages=[{"role": "user", "content": "Hello, introduce yourself"}], ) print(r.choices[0].message.content)
Peer models
Its family and models with a close score; the last column compares one message’s cost with this model.
Technical specs
- ID
deepseek/deepseek-v4.1-flash- Maker
- DeepSeek
- Tokenizer
- DeepSeek
- Released
- Sep 10, 2026
- Added to IranRouter
- Sep 10, 2026
- Context
- 1,048,576 tokens
- Max output
- 943,718 tokens
as of Oct 31, 2026