How much does DeepSeek V4 Flash 0731 cost?

DeepSeek V4 Flash 0731 costs $0.19 per million input tokens and $0.38 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.04 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.

What is the context window of DeepSeek V4 Flash 0731?

DeepSeek V4 Flash 0731 has a context window of 1M tokens, roughly 786,000 words of text read at once. A single answer can be up to 1M tokens long.

Is DeepSeek V4 Flash 0731 open source?

DeepSeek V4 Flash 0731 has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.

How good is DeepSeek V4 Flash 0731 compared with other AI models?

On the Epoch Capabilities Index, DeepSeek V4 Flash 0731 scores 154.8 (likely range 152.1 to 156.9), which ranks 40 of 270 models we track. Scores close together are a tie in practice.

How does DeepSeek V4 Flash 0731 compare with Gemini 3.5 Flash?

Gemini 3.5 Flash scores higher on 4 of 7 shared quality measures, DeepSeek V4 Flash 0731 on 0. 3 measures are too close to call. DeepSeek V4 Flash 0731 costs about 93% less than Gemini 3.5 Flash on a blended price of $0.24 against $3.38 per million tokens. See the full comparison for every measure.

How current are these numbers for DeepSeek V4 Flash 0731?

The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

AI Rankings

DeepSeek V4 Flash 0731: Score, Price and Context Window

Where DeepSeek V4 Flash 0731 from DeepSeek ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

DeepSeek
Open weights
Released Jul 2026

Its score range overlaps with Gemini 3.5 Flash, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

Very long documents: its context window is 1M tokens, roughly 786,000 words.
Keeping costs low: it is among the cheapest quarter of models in the top half by score.
Running it yourself: its weights can be downloaded (read the licence terms first).

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score: 154.8; Rank 40 of 270. Likely range 152.1 to 156.9.
Price per million tokens: $0.19 in / $0.38 out; Blended $0.24. Cached input $0.029. Median across hosting providers, checked 26 Oct 2026.
Context window: 1M tokens; About 786,000 words at once. One answer up to 1M tokens.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

Features listed by the price list: Tool use, Reasoning, Prompt caching, Structured output.

We do not have an Arena human-vote rating for DeepSeek V4 Flash 0731 yet. It is shown as "Not measured" rather than guessed.

Try itDeepSeek in our AI tools directoryAI assistant and model platform for reasoning, coding, writing, and conversational work, with separately billed APIs.

How DeepSeek V4 Flash 0731 stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.

DeepSeek V4 Flash 0731 compared with all models we trackOverall capability: 154.8. Better than 85% of the other 269 models. Price: $0.24 per 1M. Cheaper than 79% of the other 200 priced models. Context window: 1M tokens. Larger context window than 84% of the other 198 models.

Overall capability154.8
Better than 85% of the other 269 modelsTop 25%
Epoch Capabilities Index: one score that combines many tests.
Price$0.24 per 1M
Cheaper than 79% of the other 200 priced modelsTop 25%
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window1M tokens
Larger context window than 84% of the other 198 modelsTop 25%
How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Where DeepSeek V4 Flash 0731 ranks

Leaderboards it appears on, best placing first.

See all leaderboards

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.

GPQA Diamond
Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.
91.0%
Place 29 of 183
tied with 1 other
OTIS Mock AIME
Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets. Every answer is a whole number.
94.4%
Place 43 of 174
tied with 1 other
SimpleBench
Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.
61.1%
Place 21 of 80
tied with 1 other
ARC-AGI-2
Visual puzzles where the AI must work out a new rule from a few examples and apply it. They test picking up a new idea quickly, not recalling facts.
61.4%
Place 26 of 86
tied with 1 other
FrontierMath (Tiers 1-3)
Original, very hard maths problems written by mathematicians. Each has an exact answer and the problems are kept private so models cannot have memorised them. This is the Tiers 1 to 3 set, version 2.
57.5%
Place 43 of 87
SimpleQA Verified
Short factual questions that each have one correct answer. It measures how often a model gets facts right.
33.6%
Place 58 of 82

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.

100 chats: $0.04; Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book: $0.02; Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price: $0.24 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about DeepSeek V4 Flash 0731

How much does DeepSeek V4 Flash 0731 cost?: DeepSeek V4 Flash 0731 costs $0.19 per million input tokens and $0.38 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.04 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of DeepSeek V4 Flash 0731?: DeepSeek V4 Flash 0731 has a context window of 1M tokens, roughly 786,000 words of text read at once. A single answer can be up to 1M tokens long.
Is DeepSeek V4 Flash 0731 open source?: DeepSeek V4 Flash 0731 has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.
How good is DeepSeek V4 Flash 0731 compared with other AI models?: On the Epoch Capabilities Index, DeepSeek V4 Flash 0731 scores 154.8 (likely range 152.1 to 156.9), which ranks 40 of 270 models we track. Scores close together are a tie in practice.
How does DeepSeek V4 Flash 0731 compare with Gemini 3.5 Flash?: Gemini 3.5 Flash scores higher on 4 of 7 shared quality measures, DeepSeek V4 Flash 0731 on 0. 3 measures are too close to call. DeepSeek V4 Flash 0731 costs about 93% less than Gemini 3.5 Flash on a blended price of $0.24 against $3.38 per million tokens. See the full comparison for every measure.
How current are these numbers for DeepSeek V4 Flash 0731?: The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

Where this data comes from

Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake