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ModelCap

Llama 3.1 70B Instruct

All-versions archive #287Arena #276Official publisher releaseGated access

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

Llama 3.1 70B Instruct is ModelCap archive rank #287 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Llama 3.1 70B Instruct listed OpenRouter input price is $0.40 per 1M tokens and listed output price is $0.40 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Llama 3.1 70B Instruct has a published context limit of 131K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Llama 3.1 70B Instruct has 2 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Llama 3.1 70B Instruct weight access is gated access, 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
21.2#287
Measured · 63% support · score interval 16.3–26.1
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
37.6Increased by 0.3
Secondary market signal

Superseded by Llama 3.3 70B Instruct. It no longer holds a current-board position; its all-versions archive rank is #287.

Input
$0.40
per 1M tokens
Output
$0.40
per 1M tokens
Context
131K
tokens
Providers
2
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfraturboCheapest$0.40$0.40131Kfp899.73%
Amazon Bedrock$0.72$0.72131K100.0%

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
62.84
Unpinned
not published
Reported
Quarantined

Other versions (1)

ModelCap Index · All-versions archive

Methodology
21.2
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#287
Public rank basis
Measured (measured)
Index support
63.3% · strong
Index interval
16.3–26.1
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 · 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)
Index observations used
2
Qualified Index evidence point
21.2
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
21.2
Evidence status
confirmed · 77% mass
General preference
21.3
Coding
20.6
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
9.4
Liquidity (providers × uptime)
98.8
Open reach (HF downloads)
Surface (context / tools / modalities)
45.2
Freshness
4.9
  • · OpenRouter popularity #187
  • · 2 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
81.4
strong · 93% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
68.3
Deployability
90.0
Evaluation provenance
53.6

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
37.6
OpenRouter weekly popularity
#187 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
#276 of 402
Rating
1293.1
95% confidence interval
1289–1297
Votes
55K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
9.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
98.8

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%
4.9

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)
142K
Downloads (all time)
24.5M
Likes
986
Repository updated
15 Dec 2024, 01:55 UTC

Benchmark leaderboards featuring Llama 3.1 70B Instruct

All leaderboards
Public benchmark boards on which Llama 3.1 70B Instruct has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)13331326–1341#272 of 397Default13 Sept 2026

Llama 3.1 70B Instruct: common questions

How does Llama 3.1 70B Instruct rank among AI models?

Llama 3.1 70B Instruct 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 Llama 3.1 70B Instruct cost per 1M tokens?

Llama 3.1 70B Instruct is listed at $0.40 per 1M input tokens and $0.40 per 1M output tokens as of 22 September 2026 across 2 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 $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 Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct has a published context window of 131K tokens (131,072) and a maximum output of 16K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Llama 3.1 70B Instruct open-weight?

Gated access (llama3.1). The weights are hosted behind an access request or acceptance step. Review the publisher's access requirements and license before use or redistribution. The repository is meta-llama/Meta-Llama-3.1-70B-Instruct on Hugging Face.

Which API providers serve Llama 3.1 70B Instruct?

2 providers serve Llama 3.1 70B Instruct through OpenRouter as of 22 September 2026: DeepInfra and Amazon Bedrock. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Llama 3.1 70B Instruct been evaluated on?

Llama 3.1 70B Instruct has published results on 1 public board tracked by ModelCap as of 22 September 2026: Arena coding 1333 (#272 of 397). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was Llama 3.1 70B Instruct released?

Llama 3.1 70B Instruct first appeared in the catalogue on 23 Jul 2024, with a published knowledge cutoff of 2023-12-31. It has since been superseded by Llama 3.3 70B Instruct. Rank and price movements since then are recorded on the site's changes feed.