DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
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
69tokens/s
A 500-word answer in about 10.1 s
From public market statistics for this model
First token
0.9s
Reasoning models start later
From public market statistics for this model
Health, 30 days
98.96%
8 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 | 326,178 | IRR / 1M tokens |
|---|---|---|
| Output | 652,356 | IRR / 1M tokens |
| Reasoning tokensThe output rate | 652,356 | IRR / 1M tokens |
| Cache read | 65,236 | 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
41.1MIRR
1.37M IRR a day, 685 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 health98.96%
Time to first token1.09 s
Output speed62 tokens/s
Place in the market
By usage across the global model market.
Daily rank#11
Share of the day’s tokens1.8%
Capabilities
- Input
- Text
- Output
- Text
Parameters it accepts
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_atop_ktop_logprobstop_pOther benchmarks
Design contests
- WebsitesElo: 1,236Win rate: 47%
- UI componentsElo: 1,230Win rate: 47%
- Code (overall)Elo: 1,228Win rate: 46%
- Game devElo: 1,207Win rate: 45%
4 moreShow less
- 3DElo: 1,205Win rate: 49%
- SVGElo: 1,182Win rate: 45%
- Data vizElo: 1,180Win rate: 41%
- ASCII artElo: 1,088Win rate: 33%
Standard tests
- GPQA DiamondScore: 87%Tasks: 2,178
- τ-bench Verified AirlineScore: 74%Tasks: 500
Start in a minute
The official OpenAI and Anthropic SDKs; only the address and the key change.
https://iranrouter.com/v1deepseek/deepseek-v4-flash-0731# 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-flash-0731", 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-flash-0731- Maker
- DeepSeek
- Tokenizer
- DeepSeek
- Released
- Jul 31, 2026
- Added to IranRouter
- Aug 19, 2026
- Context
- 1,048,576 tokens
- Max output
- 943,718 tokens
Scores by Artificial Analysis, Design Arena, as of Oct 31, 2026
