DeepSeek V4 Flash 0423 is ModelCap archive rank #75 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
DeepSeek V4 Flash 0423 listed OpenRouter input price is $0.089 per 1M tokens and listed output price is $0.177 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
DeepSeek V4 Flash 0423 has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
DeepSeek V4 Flash 0423 has 15 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
DeepSeek V4 Flash 0423 weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
Superseded by DeepSeek V4.1 Flash. It no longer holds a current-board position; its all-versions archive rank is #75.
Input
$0.089
per 1M tokens
Output
$0.177
per 1M tokens
Context
1M
tokens
Providers
15
endpoints
Gateway spend
—
latest · Vercel share
Providers
Uptime measured over the last 30 minutes
Provider
Input
Output
Context
Quant
Uptime
StreamLakefp8Cheapest
$0.089
$0.177
1M
fp8
99.34%
DeepInfrafp8
$0.09
$0.18
1M
fp8
99.30%
GMGMICloudfp8
$0.091
$0.182
1M
fp8
99.61%
Venice
$0.097
$0.193
1M
—
99.43%
DigitalOcean
$0.098
$0.196
1M
—
100.0%
Alibabafp8
$0.134
$0.268
1M
fp8
98.45%
SiliconFlowfp8
$0.13
$0.28
1M
fp8
99.11%
Baidufp8
$0.14
$0.28
1M
fp8
100.0%
Novitafp8
$0.14
$0.28
1M
fp8
100.0%
AtlasCloudfp4
$0.14
$0.28
1M
fp4
100.0%
Parasailfp8
$0.14
$0.28
1M
fp8
99.81%
OpOpenInferencefp8
$0.04
$0.30
1M
fp8
99.08%
NeNextBitfp8
$0.15
$0.30
1M
fp8
97.42%
M2Mancer 2fp8
$0.19
$0.50
1M
fp8
98.02%
Azureus
$0.21
$0.56
1M
—
98.25%
Hugging Face Inference Providers
Exact repository identity
Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.
Provider
Input
Output
Context
TTFT
Throughput
Features
deepinfra
live
$0.09
$0.18
1M
791 ms
28.0 tok/s
tools · structured
novita
live
$0.14
$0.28
1M
1020 ms
111.4 tok/s
tools
featherless-ai
live
—
—
—
—
—
—
Reported evaluation leads (11)
Not independent measurement
Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.
Bayesian Evidence Score · measured evidence input only
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
Observed capability
68.3
Evidence status
confirmed · 83% mass
General preference
68.9
Coding
63.9
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
83%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
61.9
Liquidity (providers × uptime)
99.5
Open reach (HF downloads)
97.1
Surface (context / tools / modalities)
85.0
Freshness
56.3
· OpenRouter popularity #9
· 15 live providers
· HF 30d downloads 1524356
· Catalogue: context 1048576, reasoning, tools
· First seen 2026-04-24
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
OpenRouter weekly popularity across the full model catalogue.
Liquidity25%
99.5
Independent providers versus the model's open or closed cohort, weighted by uptime.
Open reach15%
97.1
Hugging Face 30-day downloads for open models; neutral for closed models.
Freshness5%
56.3
Time since first public availability, on a six-month half-life.
Specification
Context window
1M tokens
Max output
384K tokens
Inputs
Text
Outputs
Text
Tokenizer
DeepSeek
Cached input tokens
$0.018 / 1M
First seen on OpenRouter
24 Apr 2026
Capabilities
Supported: Reasoning
Supported: Tool use
Supported: Structured output
Supported: Response format
Not supported: Moderated
Weights & access
Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.
hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="DeepSeek V4 Flash 0731 (Reasoning, Max Effort)":reasoning=true
13 Sept 2026
DeepSeek V4 Flash 0423: common questions
How does DeepSeek V4 Flash 0423 rank among AI models?
DeepSeek V4 Flash 0423 is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
How much does DeepSeek V4 Flash 0423 cost per 1M tokens?
DeepSeek V4 Flash 0423 is listed at $0.089 per 1M input tokens and $0.177 per 1M output tokens as of 22 September 2026 across 15 providers. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.266 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of DeepSeek V4 Flash 0423?
DeepSeek V4 Flash 0423 has a published context window of 1M tokens (1,048,576) and a maximum output of 384K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Is DeepSeek V4 Flash 0423 open-weight?
Open weights (mit). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is deepseek-ai/DeepSeek-V4-Flash on Hugging Face.
Which API providers serve DeepSeek V4 Flash 0423?
15 providers serve DeepSeek V4 Flash 0423 through OpenRouter as of 22 September 2026: OpenInference, StreamLake, DeepInfra, GMICloud, Venice and DigitalOcean and 9 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has DeepSeek V4 Flash 0423 been evaluated on?
DeepSeek V4 Flash 0423 has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1483 (#92 of 397), AA Intelligence Index 34.3 (#55 of 151) and AA Humanity's Last Exam 38.6% (#69 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
When was DeepSeek V4 Flash 0423 released?
DeepSeek V4 Flash 0423 first appeared in the catalogue on 24 Apr 2026. It has since been superseded by DeepSeek V4.1 Flash. Rank and price movements since then are recorded on the site's changes feed.