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DeepSeek V4 Flash 0420

Reasoning effort

DeepSeek V4 Flash 0420 is a DeepSeek open-weights reasoning model, released 24 Apr 2026. Its best configuration (max reasoning effort) ranks #191 of 784 on the BenchLeader Index at 57.0 ±6.0, in the upper half. The ± is the point: 301 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in instruction following (77) and lowest in knowledge (51). At $0.140 per million tokens blended it is among the cheapest fifth of ranked models. Output speed of 47 tokens per second puts it in the slowest quarter, with a first answer in 120.8 s. It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 24 Apr 2026.stale: no new result in six months

Blended price
$0.140/M
$0.110 in · $0.230 out
Output speed
47 tok/s
measured by Artificial Analysis
First answer
121 s
Context
1M
Full answer
131 s
median, reasoning included
Cost per run
$0.090
one full Intelligence Index run
Released
24 Apr 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index57
  2. Reasoning53
  3. Agents & tools61
  4. Knowledge51
  5. Instruction following77
  6. Long context62
  7. Composite57

Versions

DeepSeek has shipped 2 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.

ModelReleasedIndexRank
DeepSeek V4 Flashmax31 Jul 202659.4#129
DeepSeek V4 Flash 0420maxthis page24 Apr 202657.0#191

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
no reasoning49.0#410––$0.0001Agents & tools 64 · Composite 51 · Instruction following 49 · Knowledge 42 · Long context 45 · Reasoning 41
high55.4#232––$0.0001Agents & tools 59 · Composite 57 · Instruction following 72 · Knowledge 51 · Long context 61 · Reasoning 47
maxbest57.0#19147 tok/s121 s$0.0001Agents & tools 61 · Composite 57 · Instruction following 77 · Knowledge 51 · Long context 62 · Reasoning 53

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkno reasoninghighmaxSourceTrend
GPQA Diamond (AA)not in index71.6%#28586.7%#10789.4%#78Artificial Analysis
Humanity's Last Exam (AA)not in index7.8%#35630.3%#14734.9%#123Artificial Analysis
CritPt0.3%#2703.4%#1747.1%#143Artificial Analysis

Coding

BenchmarkhighmaxSourceTrend
SciCode (AA)not in index40.2%#17145.3%#144Artificial Analysis
Terminal-Bench 4.0 (AA)not in index3.0%#1072.5%#112Artificial Analysis
Terminal-Bench 2.1 (AA)not in index56.9%#10361.8%#92Artificial Analysis

Agents & tools

Benchmarkno reasoninghighmaxSourceTrend
Terminal-Bench Hard34.1%#8938.6%#6035.6%#74Artificial Analysis
τ²-Bench Telecom (AA)not in index94.4%#3095.6%#1995.0%#26Artificial Analysis
GDPval-AA v2.1not in index–24.9%#16326.7%#155Artificial Analysis
τ³-Banking (AA)–26.2%#7830.9%#64Artificial Analysis
ITBench SRE (AA)not in index––31.5%#31Artificial Analysis
Analyst Agent (AA)not in index––25.0%#32Artificial Analysis
AutomationBenchnot in index–28.5%#11828.0%#121Artificial Analysis
GDP.pdf (AA)not in index–10.4%#12710.8%#126Artificial Analysis
EnterpriseOps-Gymnot in index––39.6%#30Artificial Analysis

Knowledge

Benchmarkno reasoninghighmaxSourceTrend
AA-Omniscience-44.0#342-23.1#254-23.9#258Artificial Analysis
AA-Omniscience: accuracynot in index26.0%#22034.9%#15336.8%#145Artificial Analysis
AA-Omniscience: non-hallucinationnot in index5.5%#51711.0%#3963.9%#535Artificial Analysis

Instruction following

Benchmarkno reasoninghighmaxSourceTrend
IFBench47.2%#18973.5%#4079.2%#11Artificial Analysis

Long context

Benchmarkno reasoninghighmaxSourceTrend
AA-LCR41.7%#35172.0%#19074.3%#161Artificial Analysis

Composite

Benchmarkno reasoninghighmaxSourceTrend
AA Intelligence Index v4.3.218.9#24524.4#17324.2#177Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0001–2.1 min
Summarize a 30-page report12,000 / 600$0.0015–2.2 min
Code edit6,000 / 1,500$0.0010–2.5 min
Agentic coding session60,000 / 4,000$0.0075–3.4 min
Structured extraction2,000 / 200$0.0003–2.1 min

More from DeepSeek

New this month

See also

Data as of 22 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “DeepSeek V4 Flash 0420: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/deepseek-v4-flash-0420, data as of 22 Oct 2026.