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ModelCap

R1 Distill Llama 70B

Official publisher releaseOpen weights

DeepSeek·deepseek/deepseek-r1-distill-llama-70b

R1 Distill Llama 70B listed OpenRouter input price is $0.80 per 1M tokens and listed output price is $0.80 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

R1 Distill Llama 70B has a published context limit of 8K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

R1 Distill Llama 70B has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

R1 Distill Llama 70B 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 · Current board
Not scored · 0% support · score interval not available
Market Gravity
12.4
Secondary market signal
Input
$0.80
per 1M tokens
Output
$0.80
per 1M tokens
Context
8K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitabf16$0.80$0.808Kbf16

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
$0.80$0.808K743 ms27.3 tok/s
featherless-ai
live

ModelCap Index · Current board

Methodology
Not scored · insufficient shared rows
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · deepseek/deepseek/deepseek-r1-distill-llama-70b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata deepseek-ai/DeepSeek-R1-Distill-Llama-70B@b1c0b44b4369b597ad119a196caf79a9c40e141e (not the evaluation revision)
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
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
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
1.9
Liquidity (providers × uptime)
20.3
Open reach (HF downloads)
38.5
Surface (context / tools / modalities)
30.0
Freshness
9.9
  • · OpenRouter popularity #289
  • · 1 live provider
  • · HF 30d downloads 78349
  • · Catalogue: context 8192, reasoning
  • · First seen 2025-01-23

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.

Experimental capability estimate

Estimate policy
22.1
5.0–39.2 uncertainty interval
Excluded from rank
Confidence
69%
Training support
209 models · 120 lineages
Out-of-domain check
in domain
Feature coverage
100%
Lineage-held-out error
10.0 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
66.7
partial · 76% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
70.5
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, 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
12.4
OpenRouter weekly popularity
#289 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

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
1.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
20.3

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

Open reach15%
38.5

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

Freshness5%
9.9

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

Specification

Context window
8K tokens
Max output
7K tokens
Inputs
Text
Outputs
Text
Tokenizer
Llama3
Cached input tokens
Not offered
First seen on OpenRouter
23 Jan 2025
Knowledge cutoff
2024-07-31

Capabilities

  • Supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not 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
b1c0b44b4369
Parameters
70.6B
Architecture
LlamaForCausalLM
Model type
llama
Hugging Face downloads (30d)
78K
Downloads (all time)
5.9M
Likes
806
Repository updated
24 Feb 2025, 03:31 UTC

Benchmark leaderboards featuring R1 Distill Llama 70B

All leaderboards
Public benchmark boards on which R1 Distill Llama 70B has a published result
LeaderboardScoreSource rankConfigurationPublished
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis21.9%#334 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="DeepSeek R1 Distill Llama 70B":reasoning=true5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis5.1%#422 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="DeepSeek R1 Distill Llama 70B":reasoning=true5 Sept 2026

R1 Distill Llama 70B: common questions

How does R1 Distill Llama 70B rank among AI models?

R1 Distill Llama 70B has no public ModelCap Index position as of 22 September 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does R1 Distill Llama 70B cost per 1M tokens?

R1 Distill Llama 70B is listed at $0.80 per 1M input tokens and $0.80 per 1M output tokens as of 22 September 2026. 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 $2.00 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 R1 Distill Llama 70B?

R1 Distill Llama 70B has a published context window of 8K tokens (8,192) and a maximum output of 7K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is R1 Distill Llama 70B 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-R1-Distill-Llama-70B on Hugging Face.

Which API providers serve R1 Distill Llama 70B?

One provider serves R1 Distill Llama 70B through OpenRouter as of 22 September 2026: Novita. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has R1 Distill Llama 70B been evaluated on?

R1 Distill Llama 70B has published results on 2 public boards tracked by ModelCap as of 22 September 2026: AA τ²-Bench Telecom 21.9% (#334 of 436) and AA Humanity's Last Exam 5.1% (#422 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was R1 Distill Llama 70B released?

R1 Distill Llama 70B first appeared in the catalogue on 23 Jan 2025, with a published knowledge cutoff of 2024-07-31. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.