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ModelCap

R1

All-versions archive #94Arena #139Open weights

DeepSeek·deepseek/deepseek-r1

R1 is a language model published by DeepSeek. 2 OpenRouter endpoints are published in the latest snapshot. It accepts text input and returns text. The published context limit is 164K tokens. The catalogue declares support for reasoning, tool use, structured outputs.

ModelCap Index · All-versions archive
60.7#94
Measured · 83% support · score interval 60.7–67.3
Market Gravity
41.8
Secondary market signal

Superseded by R1 0528. It no longer holds a current-board position; its all-versions archive rank is #94.

Input
$0.70
per 1M tokens
Output
$2.50
per 1M tokens
Context
164K
tokens
Providers
2
endpoints
Gateway spend
—
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitafp8Cheapest$0.70$2.5064Kfp8100.0%
Azure$1.48$5.94164K——

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
novita
live
$0.70$2.5064K922 ms20.7 tok/stools · structured

Reported evaluation leads (4)

Excluded from score

Structured rows reported in this exact model repository at the pinned revision below. They are useful research leads, but remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
Idavidrein/gpqa
diamond
—71.5
Unpinned
not published
Reported
Quarantined
LEXam-Benchmark/LEXam
open_question
—55.91
Unpinned
not published
Reported
Quarantined
LEXam-Benchmark/LEXam
mcq_4_choices
—52.41
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
—84
Unpinned
not published
Reported
Quarantined

Other versions (1)

ModelCap Index · All-versions archive

Methodology
60.7
Measured · 3 public benchmark observations across 3 boards
All-versions archive
#94
Public rank basis
Measured (measured)
Index support
83.4% · strong
Index interval
60.7–67.3
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · deepseek/deepseek/deepseek-r1/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata deepseek-ai/DeepSeek-R1@56d4cbbb4d29f4355bab4b9a39ccb717a14ad5ad (not the evaluation revision)
Direct benchmark observations
3
Breadth-adjusted BES point estimate
64.0
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
64.0
Evidence status
confirmed · 92% mass
General preference
65.8
Coding
66.5
Agents & tools
—
Reasoning
18.6
Evidence breadth
95%
Evidence coverage
83%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
10.4
Liquidity (providers × uptime)
82.5
Open reach (HF downloads)
99.2
Surface (context / tools / modalities)
71.8
Freshness
11.7
  • · OpenRouter popularity #165
  • · 2 live providers
  • · HF 30d downloads 9405763
  • · Catalogue: context 163840, reasoning, tools
  • · First seen 2025-01-20

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
84.4
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
80.0
Evaluation provenance
74.5

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
41.8
OpenRouter weekly popularity
#165 of 298

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
Arena
Official rank
#139 of 385
Rating
1398.2
95% confidence interval
1393–1403
Votes
19K
Source snapshot
6 Aug 2026, 13:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
10.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
82.5

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

Open reach15%
99.2

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

Freshness5%
11.7

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

Specification

Context window
164K tokens
Max output
16K tokens
Inputs
Text
Outputs
Text
Tokenizer
DeepSeek
Cached input tokens
Not offered
First seen on OpenRouter
20 Jan 2025
Knowledge cutoff
2024-07-31

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
56d4cbbb4d29
Parameters
684.5B
Architecture
DeepseekV3ForCausalLM
Model type
deepseek_v3
Hugging Face downloads (30d)
9.4M
Downloads (all time)
47.4M
Likes
14K
Repository
deepseek-ai/DeepSeek-R1
Repository updated
27 Mar 2025, 04:01 UTC