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ModelCap

Llama 3.1 70B Instruct

All-versions archive #144Arena #260Gated access

Meta·meta-llama/llama-3.1-70b-instruct

Llama 3.1 70B Instruct is a language model published by Meta. 3 OpenRouter endpoints are published in the latest snapshot. It accepts text input and returns text. The published context limit is 131K tokens. The catalogue declares support for tool use, structured outputs.

ModelCap Index · All-versions archive
36.4#144
Measured · 84% support · score interval 36.4–43.0
Market Gravity
37.2
Secondary market signal

Superseded by Llama 3.3 70B Instruct. It no longer holds a current-board position; its all-versions archive rank is #144.

Input
$0.40
per 1M tokens
Output
$0.40
per 1M tokens
Context
131K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfraturboCheapest$0.40$0.40131Kfp899.67%
Amazon Bedrock$0.72$0.72131K100.0%
CoreWeavebf16$0.80$0.80128Kbf16100.0%

Reported evaluation leads (1)

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
TIGER-Lab/MMLU-Pro
mmlu_pro
62.84
Unpinned
not published
Reported
Quarantined

Other versions (1)

ModelCap Index · All-versions archive

Methodology
36.4
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#144
Public rank basis
Measured (measured)
Index support
83.8% · strong
Index interval
36.4–43.0
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · meta-llama/meta-llama/llama-3.1-70b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata meta-llama/Meta-Llama-3.1-70B-Instruct@1605565b47bb9346c5515c34102e054115b4f98b (not the evaluation revision)
Direct benchmark observations
2
Breadth-adjusted BES point estimate
39.7
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
39.7
Evidence status
confirmed · 83% mass
General preference
39.6
Coding
40.4
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
84%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
12.4
Liquidity (providers × uptime)
90.3
Open reach (HF downloads)
Surface (context / tools / modalities)
45.2
Freshness
5.8
  • · OpenRouter popularity #147
  • · 3 live providers
  • · Catalogue: context 131072, tools
  • · First seen 2024-07-23

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 · 93% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
68.3
Deployability
100.0
Evaluation provenance
53.5

Missing: accessLegalClarity.resolvable-license-terms, 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
37.2
OpenRouter weekly popularity
#147 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
#260 of 385
Rating
1293.3
95% confidence interval
1290–1297
Votes
55K
Source snapshot
6 Aug 2026, 13:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
12.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
90.3

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

Open reach15%
50.0

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

Freshness5%
5.8

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

Specification

Context window
131K tokens
Max output
16K tokens
Inputs
Text
Outputs
Text
Tokenizer
Llama3
Cached input tokens
Not offered
First seen on OpenRouter
23 Jul 2024
Knowledge cutoff
2023-12-31

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Gated access. The weights are hosted behind an access request or acceptance step. Review the publisher's access requirements and license before use or redistribution.

Access
Gated access
Licence
llama3.1
Pinned revision
1605565b47bb
Parameters
70.6B
Architecture
LlamaForCausalLM
Model type
llama
Hugging Face downloads (30d)
772K
Downloads (all time)
24.0M
Likes
939
Repository updated
15 Dec 2024, 01:55 UTC