AI model comparison

DeepSeek Reasoner vs DeepSeek V4 Flash 0731

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

DeepSeek Reasoner and DeepSeek V4 Flash 0731 both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.

Side-by-sideReviewed by our team

DeepSeek

DeepSeek Reasoner

DeepSeek reasoning model for multi-step analysis, math, coding, and tools

Context
1M
Max output
384K
Input / 1M
$0.14
Output / 1M
$0.28
Output speed

Accepts

  • Text input

Produces

  • Text output
VS

DeepSeek

DeepSeek V4 Flash 0731

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

Context
1M
Max output
384K
Input / 1M
$0.16
Output / 1M
$0.40
Output speed

Accepts

  • Text input

Produces

  • Text output

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where DeepSeek Reasoner leads in recorded data

  • Input price: $0.14
  • Output price: $0.28

Where DeepSeek V4 Flash 0731 leads in recorded data

No complete recorded factor currently favors this model. That does not establish lower real-world quality.

Context capacity

Higher listed limit

DeepSeek Reasoner:1M

DeepSeek V4 Flash 0731:1M

Same recorded value

Maximum output

Higher listed limit

DeepSeek Reasoner:384K

DeepSeek V4 Flash 0731:384K

Same recorded value

Input price

Lower recorded price

DeepSeek Reasoner:$0.14

DeepSeek V4 Flash 0731:$0.16

DeepSeek Reasoner

Output price

Lower recorded price

DeepSeek Reasoner:$0.28

DeepSeek V4 Flash 0731:$0.40

DeepSeek Reasoner

Output speed

Higher recorded throughput

DeepSeek Reasoner:

DeepSeek V4 Flash 0731:

No complete comparison

Time to first token

Lower recorded latency

DeepSeek Reasoner:

DeepSeek V4 Flash 0731:

No complete comparison

Intelligence Index

Higher directory index

DeepSeek Reasoner:

DeepSeek V4 Flash 0731:

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationDeepSeek ReasonerDeepSeek V4 Flash 0731
ProviderDeepSeekDeepSeek
Model familydeepseek-thinkingdeepseek-flash
Accepted inputstexttext
Produced outputstexttext
Context window1M1M
Max output384K384K
Intelligence Index
Input price / 1M$0.14Recorded lead$0.16
Output price / 1M$0.28Recorded lead$0.40
Output speed
Time to first token
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseOpen weightsOpen weights
ReleasedDec 1, 2025Jul 31, 2026

Workload guidance

Which model should you choose?

On the published numbers, DeepSeek V4 Flash 0731 accepts the larger context window and DeepSeek Reasoner is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

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Choose any two approved model records and review them with the same evidence rules.

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