Compare the listed model data for Llama 3.1 8B Instruct by Meta Llama and OLMo-3 7B Instruct by AllenAI. 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; OLMo-3 7B Instruct: 4K tokens. Llama 3.1 8B Instruct has the larger listed context window. Llama 3.1 8B Instruct is listed for no specific capability flags; OLMo-3 7B Instruct is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Llama 3.1 8B Instruct 73.0%; OLMo-3 7B Instruct 64.3%; HumanEval: Llama 3.1 8B Instruct 72.6%; OLMo-3 7B Instruct 61.2%. 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 first listed parameter quantities are 8B and 7B; the larger quantity is 1.14× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are July 2024 and February 2025, about 7 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 OLMo-3 7B Instruct if…
Choose OLMo-3 7B Instruct when your task aligns with catalog-listed uses or strengths such as AI safety and alignment research requiring full training transparency, Academic AI research where reproducibility is critical, Courses on LLM training where students can see every component, Fully open: not just weights but training code, data, and evaluation code all public.
Catalog specifications for Llama 3.1 8B Instruct and OLMo-3 7B Instruct
Specification
Llama 3.1 8B Instruct
OLMo-3 7B Instruct
Provider
Meta Llama
AllenAI
Parameters
8B
7B
Context window
128K tokens
4K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Free — Llama 3.1 Community License
Apache 2.0 — free
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
Apache 2.0
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%
64.3%
Benchmark: HumanEval
72.6%
61.2%
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 OLMo-3 7B Instruct?
Llama 3.1 8B Instruct: 128K tokens; OLMo-3 7B Instruct: 4K tokens. Llama 3.1 8B Instruct has the larger listed context window. Llama 3.1 8B Instruct is listed for no specific capability flags; OLMo-3 7B Instruct is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Llama 3.1 8B Instruct 73.0%; OLMo-3 7B Instruct 64.3%; HumanEval: Llama 3.1 8B Instruct 72.6%; OLMo-3 7B Instruct 61.2%. 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 OLMo-3 7B Instruct?
MMLU: Llama 3.1 8B Instruct 73.0%; OLMo-3 7B Instruct 64.3%; HumanEval: Llama 3.1 8B Instruct 72.6%; OLMo-3 7B Instruct 61.2%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
What are the listed costs per million tokens for Llama 3.1 8B Instruct and OLMo-3 7B Instruct?
Llama 3.1 8B Instruct: Separate numeric input/output rates not listed (Free — Llama 3.1 Community License). OLMo-3 7B Instruct: Separate numeric input/output rates not listed (Apache 2.0 — free). 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 OLMo-3 7B Instruct?
The catalog lists Llama 3.1 8B Instruct as July 2024 and OLMo-3 7B Instruct as February 2025, about 7 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 OLMo-3 7B 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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