DeepSeek-V4-Flash
API request failed. The model was not evaluated.
DeepSeek
What is distinctive about DeepSeek-V4-Flash is its throughput-oriented V4 design with 284 billion total parameters, 13 billion active parameters, and a 1,000,000-token context window. It activates fewer parameters per step than Pro.
DeepSeek discontinued the original V4-Flash endpoint in September 2026 and temporarily routed the name to DeepSeek-V4.1-Flash. The released V4-Flash checkpoint sits alongside DeepSeek-V3.2 and is not the current API target.
| Specification | Value and source |
|---|---|
| Weights | Open weightsSource |
| Access | API, LocalSource |
| Parameters | 284BSource |
| Active parameters | 13BSource |
| Context window | 1,000,000 tokensSource |
| Notes | 284B total, 13B active, 1M context, MIT-licensedSource |
| License | MITSource |
| Parameters | 284 BSource |
| Active parameters | 13 BSource |
| Architecture | MoE with CSA/HCA and mHCSource |
| Training tokens | >32TSource |
| Input | TextSource |
| Output | TextSource |
| Reasoning mode | non-think, think-high, think-maxSource |
| Tool calling | Yes (Native tool use is documented for V4 modes in official release documentation)Source |
| API model ID | deepseek-v4-flash (Pricing page updated alias: V4-Flash-0731)Source |
| Availability | First-party DeepSeek API retired 2026-09-10; deepseek-v4-flash requests route to DeepSeek-V4.1-Flash. (Released weights and third-party provider availability are separate from the first-party API lifecycle.) (retrieved 2026-09-23)Source |
Benchmark meta-analysis
These Gradually indexes place selected published measurements on a 0 to 100 scale. They are not accuracy percentages and do not guarantee results in your application.
Retrieval dates of the sources used 2026-10-15 - 2026-10-19
Not enough coverage for a score yet
provisional
Published configurations differ within this comparison cohort. Treat the index as provisional.
Not enough coverage for a score yet
provisional
Published configurations differ within this comparison cohort. Treat the index as provisional.
Not enough coverage for a score yet
provisional
Published configurations differ within this comparison cohort. Treat the index as provisional.
Not enough coverage for a score yet
provisional
Published configurations differ within this comparison cohort. Treat the index as provisional.
Not enough coverage for a score yet
provisional
Published configurations differ within this comparison cohort. Treat the index as provisional.
Method version: benchmark-meta-score-v1
The index includes active measurements from reviewed primary sources when at least five models are compared in the same documented comparison slice across dataset, harness, agent, tools, and trial count. Each benchmark series and evaluator contributes one shared setup slice from the newest capture; when dates match, the wider slice is used. When one source and series include several explicitly documented reasoning tiers, the highest documented tier (none through max) is selected, never the best result value. The explicit source label “Non-reasoning” is treated as none. When selecting between multiple results, unknown or ambiguous tiers exclude the model from that series. Unambiguous single configurations do not require a tier ordering. The best individual result for each model is not selected. Equal raw values share the same rank percentile. Multiple series from the same evaluator within a family receive equal weight; evaluators within a family, families within an area, and areas in the overall index then receive equal weight. Unmeasured series remain visible in coverage and bounds. An overall score requires at least four areas, six test families, and two sources. An area score requires at least two test families. Every overall and area score also requires at least 50% of its panel weight.
Published model-specific parameters can differ. This is not a controlled experiment; comparisons with such differences are marked provisional.
Unmeasured portions are not entered as zero. They reduce coverage and contribute only to the displayed bounds. Scores with different coverage are therefore not equally complete.
The bounds hold observed percentiles fixed and allow missing contributions anywhere from 0 to 100. They are not confidence intervals or predictions of future recalculations.
The source count is not a count of independent experiments.
OECD handbook on composite indicatorsAll 9 test families and 9 of 9 raw measurements are listed here. The complete calculation for every model is available in the JSON export.
Nominal family weight in the overall panel: 0.6 % · Coverage of this test family: 100 %
Published configurations differ within this cohort.
Nominal family weight in the overall panel: 1.02 % · Coverage of this test family: 100 %
Published configurations differ within this cohort.
Nominal family weight in the overall panel: 0.6 % · Coverage of this test family: 100 %
Published configurations differ within this cohort.
Nominal family weight in the overall panel: 1.02 % · Coverage of this test family: 100 %
Published configurations differ within this cohort.
Nominal family weight in the overall panel: 0.6 % · Coverage of this test family: 100 %
Published configurations differ within this cohort.
Nominal family weight in the overall panel: 2.38 % · Coverage of this test family: 100 %
Published configurations differ within this cohort.
Nominal family weight in the overall panel: 1.02 % · Coverage of this test family: 50 %
Published configurations differ within this cohort.
Nominal family weight in the overall panel: 0.48 % · Coverage of this test family: 100 %
Published configurations differ within this cohort.
Nominal family weight in the overall panel: 0.48 % · Coverage of this test family: 50 %
Published configurations differ within this cohort.
Each evaluator measures different capabilities under its own conditions. Test series, composite indices and their components stay separate. The detailed results below retain their scales, configurations and source dates.
| Evaluator | Test series | Composite indices | Recorded active measurements |
|---|---|---|---|
| Artificial Analysis | 8 | 1 | 11 |
| LMArena | 2 | 0 | 62 |
Coverage is not a quality ranking. Overlapping tests and multiple settings do not count as independent experiments. Vendor claims, historical and disputed results are excluded from this overview and remain labelled in the detailed evidence.
Page 1 of 12
Accepted cases
1,029 German tasks test conversion from standard German into a defined simplified-language specification. It measures the Alman specification, not general German writing quality.
higher is betterAs of August 9, 2026Scale: 0% - 100%
Overall
502 technical decision points from engineering and research workflows. Each choice is presented in both answer orders. The overall score averages engineering and research and requires both answer orders to be correct. Unparseable responses count as wrong. Reasoning settings and output budget are part of the setup.
Note (DeepSeek-V4-Flash): 2 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 0 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 0 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 0 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 10 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 0 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 17 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 0 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 0 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 3 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 112 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 24 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 93 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
Note: 459 of 1,004 responses were unparseable and counted as wrong. Not a Gradually test.
higher is betterAs of September 26, 2026Scale: 0% - 100%
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
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One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
API request failed. The model was not evaluated.
A community classic for free-form SVG drawing.
DeepSeek-V4-Flash
The response reached the token limit. No complete recording is available.
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)64.7 / 100
DeepSeek documents the legacy chat and reasoner API names moving from V3.2 to V4-Flash. V4-Pro is a separate tier, not the successor recorded here.
DeepSeek API changelog (2026-09-22)DeepSeek's own release post of 2026-09-10 states that V4-Flash and V4-Flash-Vision-Exp are retired and that the deepseek-v4-flash model name temporarily routes to V4.1-Flash, its documented replacement.
DeepSeek-V4.1-Flash release (2026-09-23)| Type | Evidence and data date |
|---|---|
| Speed | DeepSeek, Reasoning, max effort. Output speed after the first streaming chunk, not total response time. API measurement of snapshot 0731, retrieved on September 7, 2026. Since September 10, 2026, DeepSeek routes the API model name to V4.1-Flash; later measurements under that name belong to V4.1-Flash and are not carried over here. Retrieved September 7, 2026. |
| Price | Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs. |
| Input | Documented modalities. Retrieved September 7, 2026. |
| Output | Documented modalities. Retrieved September 7, 2026. |
| Research status | Research date September 8, 2026. 4 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Unresolved | release-date Original wording The model card and checked pricing/release pages identify dated API aliases but no single stable launch-date field for the exact HF weights. |
| Unresolved | base-model-benchmarks Original wording The 24 Base-model table observations are retained separately in /tmp/gradually-profile-research-deepseek-v4-base-benchmarks.json and intentionally excluded from this Instruct profile. |
| Additional source | Model metadata · DeepSeek V4 announcement · Editorial description reviewed October 2, 2026 |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Artificial Analysis (retrieved October 19, 2026) |
| Additional source | Alman Institut (retrieved August 9, 2026) |
| Additional source | Taste-Bench paper (retrieved September 26, 2026) |
| Additional source | LMArena (retrieved October 15, 2026) |
| Additional source | LMArena (retrieved October 15, 2026) |
| Additional source | DeepSeek V4 model card (retrieved September 8, 2026) · DeepSeek V4 Flash model card · Editorial description reviewed October 2, 2026 |
| Additional source | Model metadata (retrieved September 8, 2026) |
| Additional source | Model metadata (retrieved September 23, 2026) · DeepSeek V4.1 lifecycle notice · Editorial description reviewed October 2, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Ollama: cumulative downloads for the popularity index |
| Additional source | Replicate: cumulative runs for the popularity index |
| Additional source | Google Trending Now: limited feed selection for Germany and the US |
| Additional source | Creative Commons Attribution 4.0 |
| Additional source | DeepSeek API changelog (2026-09-22) |