DeepSeek V4.1 Flash
by DeepSeek
Today's price · per 1M tokens
Input
$0.300
per 1M tokens
Output
$1.20
per 1M tokens
Blended
$0.525
blended $/1M — 3:1 weighted input:output
Cached input
$0.006
2% of input — prompt caching
How this price is scoped: DeepSeek bills this model at TWO rates depending on the hour. The tracked figure is the PEAK rate: $0.30 input (cache miss) / $0.006 input (cache hit) / $1.20 output per 1M tokens. Off-peak is exactly half: $0.15 / $0.003 / $0.60. Peak hours are 01:00-04:00 and 06:00-10:00 UTC, Monday through Friday; every other hour, and all of Saturday and Sunday, is off-peak. Peak is the headline here because DeepSeek defines off-peak as half of peak rather than the other way round, so peak is the list rate, and because a caller who does not schedule around the clock needs the published number to be a ceiling rather than a floor. Halve it for a workload that runs entirely outside those hours. Third-party catalogues that quote this model at $0.15/$0.60 per 1M are printing the OFF-PEAK tier, not a different rate card.
Price receipt
We read DeepSeek's own pricing page on and found DeepSeek-V4.1-Flash listed with a price on the same column — that read is where the number above comes from. We keep the page text we read; its content hash is b34099bace.
Overview
DeepSeek's first model on its new causal encoder-decoder architecture — a 552B-parameter MoE activating 8B parameters for input and 16B for output, with native visual understanding, a 1M-token context and 384K max output. Called as deepseek-flash, it replaces both V4 Flash and V4 Flash Vision Exp. $0.30/$1.20 per 1M tokens at peak (01:00-04:00 and 06:00-10:00 UTC, Monday to Friday); half that in every other hour.
Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is better- AA Intelligence Index: 39.5 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA-Omniscience Index: -5.3 (−100–100)
- GDPval-AA v2: 1632.1 ELO (Real-world work tasks, human baseline = 1000)
- Ranks #75 of 100 benchmarked models by average score
- Ranks #54 of 195 comparably-measured models by percentile score, across 5 independent measurements
- Ranks #23 of 195 comparably-tested models by normalized performance per dollar
- Strongest at Terminal-Bench 2.1 — 74.5%, #25 of 48
214.4 tokens/sec output
Source: Artificial Analysis, Artificial Analysis (text-only, no tools, max effort), Vals AI (Terminal-Bench 2.1, Terminus 2, 3 trials) · updated · See full rankings →
Specifications
- Provider
- DeepSeek
- Context window
- 1M tokens
- Modality
- text, image
- Parameters
- Proprietary
- Open source
- No — proprietary
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on DeepSeek's own page