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ModelCap

DeepSeek V3 0324

All-versions archive #166Arena #153Official publisher releaseOpen weights

DeepSeek·deepseek/deepseek-chat-v3-0324

DeepSeek V3 0324 is ModelCap archive rank #166 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

DeepSeek V3 0324 listed OpenRouter input price is $0.25 per 1M tokens and listed output price is $1.00 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

DeepSeek V3 0324 has a published context limit of 164K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

DeepSeek V3 0324 has 3 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

DeepSeek V3 0324 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
51.4#166
Measured · 83% support · score interval 45.3–57.5
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
50.9Decreased by 0.1
Secondary market signal

Superseded by DeepSeek V3.2. It no longer holds a current-board position; its all-versions archive rank is #166.

Input
$0.25
per 1M tokens
Output
$1.00
per 1M tokens
Context
164K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfrafp4Cheapest$0.24$0.90164Kfp499.40%
SiliconFlowfp8$0.25$1.00164Kfp898.05%
GMICloudfp8$0.29$1.14164Kfp891.75%

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
$0.24$0.90164K475 ms24.0 tok/stools · structured
featherless-ai
live

Reported evaluation leads (1)

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
TIGER-Lab/MMLU-Pro
mmlu_pro
81.2
Unpinned
not published
Reported
Quarantined

Other versions (4)

ModelCap Index · All-versions archive

Methodology
51.4
Measured · 3 public benchmark observations across 3 boards
All-versions archive
#166
Public rank basis
Measured (measured)
Index support
83.4% · strong
Index interval
45.3–57.5
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
Identity binding
Exact catalogue product · deepseek/deepseek/deepseek-chat-v3-0324/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata deepseek-ai/DeepSeek-V3-0324@e9b33add76883f293d6bf61f6bd89b497e80e335 (not the evaluation revision)
Index observations used
3
Qualified Index evidence point
51.4
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
51.4
Evidence status
confirmed · 83% mass
General preference
52.3
Coding
44.9
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
83%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
20.6
Liquidity (providers × uptime)
97.7
Open reach (HF downloads)
96.6
Surface (context / tools / modalities)
46.8
Freshness
12.5
  • · OpenRouter popularity #98
  • · 3 live providers
  • · HF 30d downloads 1078193
  • · Catalogue: context 163840, tools
  • · First seen 2025-03-24

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
88.3
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
95.5
Evaluation provenance
70.5

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
50.9
OpenRouter weekly popularity
#98 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
#153 of 402
Rating
1395.7
95% confidence interval
1392–1400
Votes
45K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
20.6

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
97.7

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
96.6

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
12.5

Time since first public availability, on a six-month half-life.

Specification

Context window
164K tokens
Max output
147K tokens
Inputs
Text
Outputs
Text
Tokenizer
DeepSeek
Cached input tokens
Not offered
First seen on OpenRouter
24 Mar 2025
Knowledge cutoff
2024-07-31

Capabilities

  • Not 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
e9b33add7688
Parameters
684.5B
Architecture
DeepseekV3ForCausalLM
Model type
deepseek_v3
Hugging Face downloads (30d)
1.1M
Downloads (all time)
9.4M
Likes
3K
Repository updated
27 Mar 2025, 04:01 UTC

Benchmark leaderboards featuring DeepSeek V3 0324

All leaderboards
Public benchmark boards on which DeepSeek V3 0324 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14291422–1436#174 of 397Default13 Sept 2026
Artificial Analysis Intelligence IndexArtificial Analysis9.7#133 of 151intelligence-index:v4.3:non-reasoning7 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis47.1%#213 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="DeepSeek V3 0324":reasoning=false5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis4.7%#456 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="DeepSeek V3 0324":reasoning=false5 Sept 2026

DeepSeek V3 0324: common questions

How does DeepSeek V3 0324 rank among AI models?

DeepSeek V3 0324 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 V3 0324 cost per 1M tokens?

DeepSeek V3 0324 is listed at $0.25 per 1M input tokens and $1.00 per 1M output tokens as of 22 September 2026; the lowest output price among 3 providers is $0.90 on DeepInfra. 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 $1.00 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 V3 0324?

DeepSeek V3 0324 has a published context window of 164K tokens (163,840) and a maximum output of 147K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is DeepSeek V3 0324 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-V3-0324 on Hugging Face.

Which API providers serve DeepSeek V3 0324?

3 providers serve DeepSeek V3 0324 through OpenRouter as of 22 September 2026: DeepInfra, SiliconFlow and GMICloud. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has DeepSeek V3 0324 been evaluated on?

DeepSeek V3 0324 has published results on 4 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1429 (#174 of 397), AA Intelligence Index 9.7 (#133 of 151), AA τ²-Bench Telecom 47.1% (#213 of 436) and AA Humanity's Last Exam 4.7% (#456 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was DeepSeek V3 0324 released?

DeepSeek V3 0324 first appeared in the catalogue on 24 Mar 2025, with a published knowledge cutoff of 2024-07-31. It has since been superseded by DeepSeek V3.2. Rank and price movements since then are recorded on the site's changes feed.