Compare the listed model data for Llama 3.1 8B Instruct by Meta Llama and Meta Llama 3.1 8B Instruct by meta-llama. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
Llama 3.1 8B Instruct: 128K tokens; Meta Llama 3.1 8B Instruct: 128K tokens. The listed context-window values are equal. Llama 3.1 8B Instruct is listed for no specific capability flags; Meta Llama 3.1 8B Instruct is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Llama 3.1 8B Instruct 73.0%; Meta Llama 3.1 8B Instruct 73.0%; HumanEval: Llama 3.1 8B Instruct 72.6%; Meta Llama 3.1 8B Instruct 72.6%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The listed context windows are 128K tokens and 128K tokens; the larger is 1× the smaller.
On shared numeric benchmark entries, MMLU: Llama 3.1 8B Instruct − Meta Llama 3.1 8B Instruct = 0 percentage points (73.0% vs 73.0%); HumanEval: Llama 3.1 8B Instruct − Meta Llama 3.1 8B Instruct = 0 percentage points (72.6% vs 72.6%).
The first listed parameter quantities are 8B and 8B; the larger quantity is 1× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are July 2024 and July 2024, about 0 months apart at the precision supplied.
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose Llama 3.1 8B Instruct if…
Choose Llama 3.1 8B Instruct when your task aligns with catalog-listed uses or strengths such as Deployments requiring Llama 3.1 compatibility, Fine-tuning with existing Llama 3.1 8B fine-tunes, One of the most widely deployed open models globally, 128K context at 8B scale.
Choose Meta Llama 3.1 8B Instruct if…
Choose Meta Llama 3.1 8B Instruct when your task aligns with catalog-listed uses or strengths such as Llama 3.1 compatible deployments at 8B scale, Same capabilities as Llama 3.1 8B Instruct, 128K context window, Llama 3.1 Community License.
Feature Comparison — Llama 3.1 8B Instruct vs Meta Llama 3.1 8B Instruct
Catalog specifications for Llama 3.1 8B Instruct and Meta Llama 3.1 8B Instruct
Specification
Llama 3.1 8B Instruct
Meta Llama 3.1 8B Instruct
Provider
Meta Llama
meta-llama
Parameters
8B
8B
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Free — Llama 3.1 Community License
Free — Llama 3.1 Community License
Listed input/output cost per 1M tokens
Separate numeric input/output rates not listed
Separate numeric input/output rates not listed
License
Meta Llama 3.1 Community License
Meta Llama 3.1 Community License
Coding support
Not listed
Not listed
Reasoning support
Not listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
73.0%
73.0%
Benchmark: HumanEval
72.6%
72.6%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between Llama 3.1 8B Instruct and Meta Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct: 128K tokens; Meta Llama 3.1 8B Instruct: 128K tokens. The listed context-window values are equal. Llama 3.1 8B Instruct is listed for no specific capability flags; Meta Llama 3.1 8B Instruct is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Llama 3.1 8B Instruct 73.0%; Meta Llama 3.1 8B Instruct 73.0%; HumanEval: Llama 3.1 8B Instruct 72.6%; Meta Llama 3.1 8B Instruct 72.6%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Llama 3.1 8B Instruct and Meta Llama 3.1 8B Instruct?
MMLU: Llama 3.1 8B Instruct 73.0%; Meta Llama 3.1 8B Instruct 73.0%; HumanEval: Llama 3.1 8B Instruct 72.6%; Meta Llama 3.1 8B Instruct 72.6%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Llama 3.1 8B Instruct: 128K tokens; Meta Llama 3.1 8B Instruct: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Llama 3.1 8B Instruct and Meta Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct: Separate numeric input/output rates not listed (Free — Llama 3.1 Community License). Meta Llama 3.1 8B Instruct: Separate numeric input/output rates not listed (Free — Llama 3.1 Community License). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Llama 3.1 8B Instruct and Meta Llama 3.1 8B Instruct?
The catalog lists Llama 3.1 8B Instruct as July 2024 and Meta Llama 3.1 8B Instruct as July 2024, about 0 months apart at the precision supplied.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Llama 3.1 8B Instruct and Meta Llama 3.1 8B Instruct?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.
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