DeepSeek V4 Pro 0423 is ModelCap archive rank #54 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
DeepSeek V4 Pro 0423 listed OpenRouter input price is $0.955 per 1M tokens and listed output price is $1.91 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
DeepSeek V4 Pro 0423 has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
DeepSeek V4 Pro 0423 has 15 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
DeepSeek V4 Pro 0423 weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
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
73.7
Evidence status
confirmed · 94% mass
General preference
75.5
Coding
71.2
Agents & tools
41.9
Reasoning
—
Evidence breadth
97%
Evidence coverage
87%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
45.0
Liquidity (providers × uptime)
99.2
Open reach (HF downloads)
94.5
Surface (context / tools / modalities)
85.0
Freshness
56.3
· OpenRouter popularity #24
· 15 live providers
· HF 30d downloads 561676
· 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%
99.2
Independent providers versus the model's open or closed cohort, weighted by uptime.
Open reach15%
94.5
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
$0.08 / 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.
How does DeepSeek V4 Pro 0423 rank among AI models?
DeepSeek V4 Pro 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 Pro 0423 cost per 1M tokens?
DeepSeek V4 Pro 0423 is listed at $0.955 per 1M input tokens and $1.91 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 $2.87 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 Pro 0423?
DeepSeek V4 Pro 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 Pro 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-Pro on Hugging Face.
Which API providers serve DeepSeek V4 Pro 0423?
15 providers serve DeepSeek V4 Pro 0423 through OpenRouter as of 22 September 2026: StreamLake, GMICloud, DigitalOcean, Cloudflare, DeepInfra and Alibaba and 9 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has DeepSeek V4 Pro 0423 been evaluated on?
DeepSeek V4 Pro 0423 has published results on 5 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1501 (#65 of 397), LMArena Agent -0.7% (#30 of 46), AA Intelligence Index 36.0 (#50 of 151), AA Humanity's Last Exam 41.0% (#55 of 615) and WildClawBench OpenClaw 43.7 (#19 of 34). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
When was DeepSeek V4 Pro 0423 released?
DeepSeek V4 Pro 0423 first appeared in the catalogue on 24 Apr 2026. It has since been superseded by DeepSeek V4 Pro 0813. Rank and price movements since then are recorded on the site's changes feed.