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.
Superseded by Llama 3.3 70B Instruct.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
Provider
Input
Output
Context
Quant
Uptime
DeepInfraturboCheapest
$0.40
$0.40
131K
fp8
99.73%
Amazon Bedrock
$0.72
$0.72
131K
—
100.0%
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.
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.
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.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
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.
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.