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DeepSeek V4.1 Flash

Released Sep 10, 2026 see all recent releases

Decision reading
DeepSeek V4.1 Flash is tracked, but not publicly ranked yet. The profile exposes 22 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

22 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

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 56.3

Not eligible for a public rank

Price

$0.30input / $1.20 output

input median $1

cached $0.006 · blended $0.75

Speed

Not measured

field median 92 tok/s

Time to first token not measured

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. Agentic8/8 verified
  2. Coding6/6 verified
  3. ReasoningNot measured
  4. Knowledge3/3 verified
  5. Math1/1 verified
  6. MultilingualNot measured
  7. Multimodal3/3 verified
  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-flashDeepSeek models and pricing
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
text, imageDeepSeek vision guide
Output modalities
textDeepSeek vision guide
Parameters
Not sourced yet
Availability
DeepSeek API · open weightsDeepSeek-V4.1-Flash release
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.006 per million cached input tokensDeepSeek: Models & Pricing
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

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%8 benchmarksVerified81.2
CodingWeight 20%6 benchmarksVerifiedScore pending
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank Not rankedWeight 12%3 benchmarksVerified53.4
MathWeight 5%1 benchmarkVerifiedScore pending
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%3 benchmarksVerifiedScore pending
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.

Coding6 rows
Coding benchmark values, best verified comparison, weight, and source status
CodeforcesCodeforces RatingScore3471.0Versus best verified row

Best verified: DeepSeek V4.1 Flash · 3471.0

GapBest verifiedWeightDisplay only
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score90.6%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 90.6%

GapBest verifiedWeightDisplay only
terminalBench3Score30%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 30%

GapBest verifiedWeightDisplay only
DeepSWEScore74.2%Versus best verified row

Best verified: Muse Spark 1.3 · 75.4%

Gap1.2 behindWeightDisplay only
ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch?Score20.3%Versus best verified row

Best verified: Claude Opus 5 · 93.0%

Gap72.7 behindWeightDisplay only
NL2RepoScore65.4%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 65.4%

GapBest verifiedWeightDisplay only
Agentic8 rows
Agentic benchmark values, best verified comparison, weight, and source status
AutomationBenchScore54.8%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 54.8%

GapBest verifiedWeightWeighted 10%
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score90.6%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 90.6%

GapBest verifiedWeightDisplay only
terminalBench3Score30%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 30%

GapBest verifiedWeightDisplay only
Terminal-Bench 4.0Score31.20%Versus best verified row

Best verified: Claude Mythos 5.1 · 60.90%

Gap29.7 behindWeightDisplay only
CyberGymScore88.1%Versus best verified row

Best verified: DeepSeek V4.1 Flash · 88.1%

GapBest verifiedWeightDisplay only
ExploitGymScore15.3%Versus best verified row

Best verified: GPT-6 Astra · 42.4%

Gap27.1 behindWeightDisplay only
HLE w/ toolsHumanity's Last Exam with toolsScore63.9%Versus best verified row

Best verified: Claude Opus 5 · 64.7%

Gap0.8 behindWeightDisplay only
Agents' Last ExamScore31.8%Versus best verified row

Best verified: GPT-6 Astra · 59.3%

Gap27.5 behindWeightDisplay only
Knowledge3 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore36.8%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap28.2 behindWeightWeighted 35%
GPQAGraduate-Level Google-Proof Q&AScore90.9%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap5.1 behindWeightWeighted 7%
GPQA-DGPQA DiamondScore90.9%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap5.1 behindWeightDisplay only
Math1 row
Math benchmark values, best verified comparison, weight, and source status
ApexScore65.6%Versus best verified row

Best verified: Hy4 preview · 74.2%

Gap8.6 behindWeightDisplay only
Multimodal3 rows
Multimodal benchmark values, best verified comparison, weight, and source status
Chartography (tools)Chartography with image and code toolsScore78.9%Versus best verified row

Best verified: Claude Opus 5 · 83.0%

Gap4.1 behindWeightDisplay only
BabyVision w/ PythonBabyVision with PythonScore89.6%Versus best verified row

Best verified: Qwen3.8 Max · 91.3%

Gap1.7 behindWeightDisplay only
ZeroBench w/ PythonZeroBench_main with PythonScore49.0%Versus best verified row

Best verified: Qwen3.8 Max · 49.0%

GapBest verifiedWeightDisplay only
External signals1 row
External signals benchmark values, best verified comparison, weight, and source status
SEC-Bench ProScore62.8%Versus best verified row

Best verified: GPT-6 Astra · 85.4%

Gap22.6 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

    DeepSeek V4 Flash 0731

    Not publicly ranked · $0.14 / $0.28

  2. Sep 10, 2026 · you are here

    DeepSeek V4.1 Flash

    Not publicly ranked · $0.3 / $1.2

Flash-reasoning

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 V4.1 Flash, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

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

Released September 10, 2026 as the smallest model in DeepSeek's new Causal Encoder-Decoder architecture family: 552B backbone parameters, 8B activated per token during prefill and 16B during decode, native image-and-text input, a 1M-token context window, and MIT-licensed weights on Hugging Face. The DeepSeek API serves it as `deepseek-flash` with thinking and non-thinking modes, tool calls, the Responses and Anthropic formats, and vision input. DeepSeek retired V4 Flash and V4 Flash Vision Exp the same day; the legacy `deepseek-v4-flash` and `deepseek-v4-flash-vision-exp` IDs temporarily route here. DeepSeek also says V4 Pro is being phased out: from 04:00 UTC on September 14, 2026, `deepseek-v4-pro` requests route to V4.1 Flash at V4.1 Flash rates until V4.1 Pro launches.

Official exact-value snapshot from the DeepSeek-V4.1-Flash model card and technical report published September 10, 2026. All instruct rows use the maximum reasoning effort (reasoning_effort=100), temperature 1.0, and top_p 0.95. Code-agent rows (Terminal-Bench 2.1, 3.0, and 4.0, DeepSWE v1.1, NL2Repo-Bench, ProgramBench) use the Minimal mode of DeepSeek Harness with a 1M-token context, except DeepSWE v1.1, which uses mini-SWE-agent, and SEC-Bench Pro, which uses the Claude Code harness; the visual agent rows (Chartography, BabyVision, ZeroBench) use the Claude Code harness with a 512K context; Agents' Last Exam and AutomationBench use their official scaffolds. Every launch row is provider-run and harness-specific, so it stays display-only and out of weighted ranking coverage. HLE is the full set at 36.8; DeepSeek reports 39.1 on the text-only subset. ProgramBench is the Almost@1 metric. NL2Repo-Bench is stored at the technical report's 65.4, which DeepSeek's changelog repeats; the model card table prints 64.0 for the same row. MathArena Apex is the September 2026 edition, on which DeepSeek re-scores V4 Pro at 65.3 and V4 Flash at 58.6, so it is not comparable with the Apex values stored from the April V4 report. The base-model table on the model card (MMLU-Pro 74.1, HumanEval 79.4, GSM8K 93.0, and the rest) is pretraining evidence for a separate checkpoint and is not stored on this instruct row.

Its explicit predecessor is DeepSeek V4 Flash 0731. 22 of 428 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Radar

DeepSeek V4.1 Flash release history

Full release history

Radar confirmed these at the source. Use DeepSeek V4.1 Flash in your work? Explore Radar to follow supported changes and choose your alerts.

Frequently asked questions

How does DeepSeek V4.1 Flash perform overall in AI benchmarks?

DeepSeek V4.1 Flash has 22 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 V4.1 Flash good for knowledge and understanding?

DeepSeek V4.1 Flash 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 V4.1 Flash good for coding and programming?

DeepSeek V4.1 Flash 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 V4.1 Flash good for mathematics?

DeepSeek V4.1 Flash 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 V4.1 Flash good for agentic tool use and computer tasks?

DeepSeek V4.1 Flash 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.

Is DeepSeek V4.1 Flash good for multimodal and grounded tasks?

DeepSeek V4.1 Flash has source-displayable benchmark coverage for multimodal and grounded 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.

Is DeepSeek V4.1 Flash open source?

DeepSeek V4.1 Flash is an open-weight model from DeepSeek. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Does DeepSeek V4.1 Flash have full benchmark coverage on BenchLM?

No. DeepSeek V4.1 Flash currently has 22 source-displayable rows across 428 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 V4.1 Flash?

DeepSeek V4.1 Flash 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 V4.1 Flash with every tracked model412 comparisons

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

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