Skip to main content
Radar

Keep up with the models you depend on. Follow price changes, retirements, and API updates.Follow the models you depend on.

Follow model changes
Superseded.DeepSeek has newer models in this line:DeepSeek V4.1 Flash

DeepSeek V4 Flash 0731

SupersededReleased Jul 31, 2026ProprietaryReasoning1M context

Released Jul 31, 2026 see all recent releases

Decision reading
DeepSeek V4 Flash 0731 is tracked, but not publicly ranked yet. The profile exposes 40 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of September 10, 2026 · How the score is built

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

40 published rows leave some tracked benchmark slots empty.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 56.2

Not eligible for a public rank

Price

$0.14input / $0.28 output

input median $1

cached $0.003 · blended $0.21

Speed

201tok/s

field median 86.5 tok/s

First token 11.08 s

Context

1Mtokens

field median 256,000

Maximum output length is tracked separately

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic11/11 verified
  2. Coding15/15 verified
  3. Reasoning2/2 verified
  4. Knowledge8/8 verified
  5. Math4/4 verified
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
deepseek-v4-flashDeepSeek-V4.1-Flash release
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Parameters
Not disclosed by the provider
Availability
DeepSeek APIDeepSeek-V4.1-Flash release
Cloud regions
Not tracked yet
Lifecycle
supersededDeepSeek-V4.1-Flash release
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.003 per million cached input tokens
Self-host
Weights are not published
Rate limits
Not tracked yet

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%11 benchmarksVerified47.5
CodingRank Not rankedWeight 20%15 benchmarksVerified50.0
ReasoningRank Not rankedWeight 17%2 benchmarksVerified79.7
KnowledgeRank Not rankedWeight 12%8 benchmarksVerified61.2
MathRank Not rankedWeight 5%4 benchmarksVerified80.0
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding15 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore52.6%Versus best verified row

Best verified: Claude Fable 5.1 · 81.2%

Gap28.6 behindWeightWeighted 25%
LiveCodeBench (Vals)LiveCodeBench, Vals AI runScore87.3%Versus best verified row

Best verified: Claude Fable 5.1 · 90.5%

Gap3.2 behindWeightWeighted 15%
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore79%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap17 behindWeightWeighted 10%
SWE MultilingualScore73.3%Versus best verified row

Best verified: Claude Opus 5 · 89.5%

Gap16.2 behindWeightWeighted 5%
LiveCodeBench Pass@1-COTLiveCodeBench Pass@1 with Chain-of-ThoughtScore91.6%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 93.5%

Gap1.9 behindWeightDisplay only
CodeforcesCodeforces RatingScore3052.0Versus best verified row

Best verified: DeepSeek V4.1 Flash · 3471.0

Gap419 behindWeightDisplay only
Terminal-Bench 2.0Score56.9%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap35 behindWeightDisplay only
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score82.7%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap10.1 behindWeightDisplay only
NL2RepoScore54.2%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 65.4%

Gap11.2 behindWeightDisplay only
DeepSWEScore54.4%Versus best verified row

Best verified: Muse Spark 1.3 · 75.4%

Gap21 behindWeightDisplay only
DSBench-FullStackDeepSeek DSBench FullStackScore68.7%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 71.1%

Gap2.4 behindWeightDisplay only
DSBench-HardDeepSeek DSBench HardScore59.6%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 67.2%

Gap7.6 behindWeightDisplay only
VulcanBench v3Score88.4%Versus best verified row

Best verified: Grok 4.5 · 89.9%

Gap1.5 behindWeightDisplay only
OpenHarmony BenchOpenHarmony Bench v1.0Score53.8%Versus best verified row

Best verified: Qwen3.8 Max · 60.8%

Gap7 behindWeightDisplay only
SWE-bench (Vals)SWE-bench, Vals AI runScore88.8%Versus best verified row

Best verified: Claude Opus 5 · 97.0%

Gap8.2 behindWeightDisplay only
Agentic11 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score56.9%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap35 behindWeightWeighted 30%
BrowseCompScore73.2%Versus best verified row

Best verified: GPT-5.6 Sol · 92.2%

Gap19 behindWeightWeighted 25%
AutomationBenchScore25.1%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 54.8%

Gap29.7 behindWeightWeighted 10%
HLE w/ toolsHumanity's Last Exam with toolsScore45.1%Versus best verified row

Best verified: Claude Opus 5 · 64.7%

Gap19.6 behindWeightDisplay only
MCP AtlasScore69%Versus best verified row

Best verified: Muse Spark 1.1 · 88.1%

Gap19.1 behindWeightDisplay only
ToolathlonScore47.8%Versus best verified row

Best verified: Muse Spark 1.1 · 75.6%

Gap27.8 behindWeightDisplay only
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score82.7%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap10.1 behindWeightDisplay only
CyberGymScore76.7%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 88.1%

Gap11.4 behindWeightDisplay only
Toolathlon-VerifiedScore70.3%Versus best verified row

Best verified: Claude Opus 5 · 80.6%

Gap10.3 behindWeightDisplay only
Agents' Last ExamScore25.2%Versus best verified row

Best verified: GPT-6 Astra · 59.3%

Gap34.1 behindWeightDisplay only
Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI runScore67.0%Versus best verified row

Best verified: GPT-6 Astra · 87.3%

Gap20.3 behindWeightDisplay only
Reasoning2 rows
Reasoning benchmark values, best verified comparison, weight, and source status
MRCR 1MScore78.7%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 83.5%

Gap4.8 behindWeightDisplay only
CorpusQA 1MScore60.5%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 62.0%

Gap1.5 behindWeightDisplay only
Knowledge8 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore34.8%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap30.2 behindWeightWeighted 35%
MMLU-ProMassive Multitask Language Understanding ProfessionalScore86.2%Versus best verified row

Best verified: Qwen3.7 Max · 89.6%

Gap3.4 behindWeightWeighted 20%
MMLU-Pro (Vals)MMLU-Pro, Vals AI runScore86.2%Versus best verified row

Best verified: Claude Fable 5.1 · 92.4%

Gap6.2 behindWeightWeighted 10%
GPQAGraduate-Level Google-Proof Q&AScore88.1%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap7.9 behindWeightWeighted 7%
SimpleQAMeasuring Short-Form Factuality in Large Language ModelsScore34.1%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 57.9%

Gap23.8 behindWeightWeighted 5%
Chinese-SimpleQAScore78.9%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 84.4%

Gap5.5 behindWeightDisplay only
GPQA-DGPQA DiamondScore88.1%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap7.9 behindWeightDisplay only
GPQA Diamond (Vals)GPQA Diamond, Vals AI runScore89.9%Versus best verified row

Best verified: Gemini 3.1 Pro · 95.5%

Gap5.6 behindWeightDisplay only
Math4 rows
Math benchmark values, best verified comparison, weight, and source status
HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026Score94.8%Versus best verified row

Best verified: Qwen3.7 Max · 97.1%

Gap2.3 behindWeightWeighted 25%
IMOAnswerBenchScore88.4%Versus best verified row

Best verified: dots3-note Preview · 90.9%

Gap2.5 behindWeightDisplay only
ApexScore33.0%Versus best verified row

Best verified: Hy4 preview · 74.2%

Gap41.2 behindWeightDisplay only
Apex ShortlistScore85.7%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 90.2%

Gap4.5 behindWeightDisplay only

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Jul 31, 2026 · you are here

    DeepSeek V4 Flash 0731

    Not publicly ranked · $0.14 / $0.28

  2. Sep 10, 2026

    DeepSeek V4.1 Flash

    Not publicly ranked · $0.3 / $1.2

flash-reasoning · 0731

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track DeepSeek V4 Flash 0731, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

DeepSeek V4 Flash 0731 is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

The existing deepseek-v4-flash API ID now serves DeepSeek-V4-Flash-0731 in public beta. DeepSeek says it has the same architecture and size as Preview with new post-training. Checked again August 1: DeepSeek-V4-Flash-0731 weights are public on Hugging Face under the MIT License, so this row is Open Weight. The Hugging Face card lists 304B parameters because 0731 ships with the DSpark speculative-decoding module attached; the April Preview weights remain a separate checkpoint. Retired September 10, 2026: DeepSeek replaced V4 Flash with DeepSeek-V4.1-Flash, served as `deepseek-flash`. The legacy `deepseek-v4-flash` ID is still accepted but temporarily routes to V4.1 Flash and bills at the Flash rate.

Its explicit predecessor is DeepSeek V4 Flash 0731. 40 of 434 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Radar

DeepSeek V4 Flash 0731 release history

Full release history

Radar confirmed these at the source. Use DeepSeek V4 Flash 0731 in your work? Explore Radar to follow supported changes and choose your alerts.

Frequently asked questions

How does DeepSeek V4 Flash 0731 perform overall in AI benchmarks?

DeepSeek V4 Flash 0731 has 40 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is DeepSeek V4 Flash 0731 good for knowledge and understanding?

DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is DeepSeek V4 Flash 0731 good for coding and programming?

DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is DeepSeek V4 Flash 0731 good for mathematics?

DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is DeepSeek V4 Flash 0731 good for reasoning and logic?

DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is DeepSeek V4 Flash 0731 good for agentic tool use and computer tasks?

DeepSeek V4 Flash 0731 has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Does DeepSeek V4 Flash 0731 have full benchmark coverage on BenchLM?

No. DeepSeek V4 Flash 0731 currently has 54 source-displayable rows across 434 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of DeepSeek V4 Flash 0731?

DeepSeek V4 Flash 0731 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Compare DeepSeek V4 Flash 0731 with every tracked model482 comparisons

Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.

Watch DeepSeek V4 Flash 0731 in the weekly brief

Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.

Read a sample issue

Join 2,000+ readers.