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ModelCap

DeepSeek V4 Pro 0423

All-versions archive #54Arena #57Official publisher releaseOpen weights

DeepSeek·deepseek/deepseek-v4-pro

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.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
73.7#54
Measured · 87% support · score interval 67.7–79.7
Evidence as of 19 Sept 2026, 22:46 UTC
Market Gravity
66.5Increased by 0.1
Secondary market signal

Superseded by DeepSeek V4 Pro 0813. It no longer holds a current-board position; its all-versions archive rank is #54.

Input
$0.955
per 1M tokens
Output
$1.91
per 1M tokens
Context
1M
tokens
Providers
15
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
StreamLakefp8Cheapest$0.955$1.911Mfp898.95%
GMICloudfp8$0.957$1.911Mfp899.87%
DigitalOcean$1.04$2.091M100.0%
Cloudflare$1.15$2.551M99.81%
DeepInfrafp8$1.30$2.601Mfp899.56%
Alibabafp8$1.42$2.831Mfp8100.0%
SiliconFlowfp8$1.50$3.141Mfp899.27%
Novitafp8$1.60$3.201Mfp8100.0%
Venice$1.65$3.301M99.08%
AtlasCloudfp4$1.68$3.381Mfp4100.0%
Baidufp8$1.69$3.381Mfp899.92%
NextBitfp8$1.74$3.481Mfp897.75%
BaseTenfp4$1.74$3.481Mfp499.85%
Parasailfp8$1.74$3.481Mfp8100.0%
Azureus$1.91$3.831M81.24%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
deepinfra
live
$1.30$2.601M483 ms29.8 tok/stools · structured
novita
live
$1.60$3.201M659 ms72.7 tok/stools
baseten
live
$1.74$3.481M872 ms90.4 tok/stools
featherless-ai
live

Reasoning efforts

Best supported result can inform ModelCap

Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.

EffortAgent scoreSource rankSampleSource
Default
DeepSeek V4 Pro
-0.71%
CI -1.60.2%
#301.9M obs
35K sessions
LMArena Agent
Match 100%

Related community configurations

Human preference rating
ConfigurationRatingSource rankVotesSource
High · Preview
deepseek-v4-pro-high-preview
1455
CI 1451–1459
#6651KLMArena
Match 98%

Reported evaluation leads (22)

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.

Dataset / taskMetricValueRevisionProvenance
benchflow/skillsbench
skillsbench_v1_1
50.1
Pinned
be2a6ce2cb1f4ff67ce937307cade0c5a0477a13
Reported
Quarantined
joelniklaus/LEXam-hard
lexam_hard
38.93
Pinned
1bd50ee3ac80286fed27e5b89f03f4d8b4494244
Reported
Quarantined
actava/chi-bench
chi_bench
14.2
Unpinned
not published
Reported
Quarantined
actava/chi-bench
prior_authorization
10.7
Unpinned
not published
Reported
Quarantined
actava/chi-bench
utilization_management
28
Unpinned
not published
Reported
Quarantined
actava/chi-bench
care_management
4
Unpinned
not published
Reported
Quarantined
cais/hle
hle
37.7
Unpinned
not published
Reported
Quarantined
claw-eval/Claw-Eval
general
58.4
Unpinned
not published
Reported
Quarantined
claw-eval/Claw-Eval
multi_turn
65.8
Unpinned
not published
Reported
Quarantined
collinear-ai/yc-bench
medium
1,066,426
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.0
terminalbench_2
67.9
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
90.1
Unpinned
not published
Reported
Quarantined
IntelligenceLab/Long-Horizon-Terminal-Bench
lhtb_solved
3
Unpinned
not published
Reported
Quarantined
internlm/WildClawBench
overall
43.7
Unpinned
not published
Reported
Quarantined
internlm/WildClawBench
avg_time
605
Unpinned
not published
Reported
Quarantined
internlm/WildClawBench
avg_cost
12
Unpinned
not published
Reported
Quarantined
InternScience/ResearchClawBench
overall
17.12
Unpinned
not published
Reported
Quarantined
openai/gsm8k
gsm8k
92.6
Unpinned
not published
Reported
Quarantined
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
55.4
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Multilingual
swe_bench_multilingual_%_resolved
76.2
Unpinned
not published
Reported
Quarantined

Showing 20 of 22 rows.

Other versions (1)

ModelCap Index · All-versions archive

Methodology
73.7
Measured · 5 public benchmark observations across 5 boards
All-versions archive
#54
Public rank basis
Measured (measured)
Index support
86.7% · strong
Index interval
67.7–79.7
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
19 Sept 2026, 22:46 UTC
Identity binding
Exact catalogue product · deepseek/deepseek/deepseek-v4-pro/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata deepseek-ai/DeepSeek-V4-Pro@b5968e9190ef611bbf34a7229255be88a0e937c1 (not the evaluation revision)
Index observations used
5
Qualified Index evidence point
73.7
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.

BES evidence selected · measured input only

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.

Deployment readiness

Metadata index
91.8
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
98.7
Evaluation provenance
83.6

Missing: artifactReproducibility.base-lineage, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
66.5
OpenRouter weekly popularity
#24 of 322

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#57 of 402
Rating
1457.3
95% confidence interval
1453–1461
Votes
54K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
45.0

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.

Access
Open weights
Licence
mit
Pinned revision
b5968e9190ef
Parameters
1598.8B
Architecture
DeepseekV4ForCausalLM
Model type
deepseek_v4
Hugging Face downloads (30d)
562K
Downloads (all time)
10.6M
Likes
6K
Repository updated
22 Jun 2026, 12:12 UTC

Benchmark leaderboards featuring DeepSeek V4 Pro 0423

All leaderboards
Public benchmark boards on which DeepSeek V4 Pro 0423 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)15011495–1508#65 of 397Default13 Sept 2026
LMArena Agent leaderboardLMArena-0.7%-1.6%–0.2%#30 of 46Default15 Sept 2026
Artificial Analysis Intelligence IndexArtificial Analysis36.0#50 of 151intelligence-index:v4.3:max19 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis41.0%#55 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="DeepSeek V4 Pro 0813 (Reasoning, Max Effort)":reasoning=true13 Sept 2026
WildClawBench OpenClaw leaderboardWildClawBench43.7#19 of 34Default20 Jul 2026

DeepSeek V4 Pro 0423: common questions

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.