Compare the listed model data for Llama 3.1 8B Instruct by Meta Llama and Mistral 7B Instruct v0.3 by mistralai. 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; Mistral 7B Instruct v0.3: 32K tokens. Llama 3.1 8B Instruct has the larger listed context window. Llama 3.1 8B Instruct is listed for no specific capability flags; Mistral 7B Instruct v0.3 is listed for coding. Shared catalog benchmark entries: MMLU: Llama 3.1 8B Instruct 73.0%; Mistral 7B Instruct v0.3 62.5%; HumanEval: Llama 3.1 8B Instruct 72.6%; Mistral 7B Instruct v0.3 60.2%; MATH: Llama 3.1 8B Instruct 51.9%; Mistral 7B Instruct v0.3 29.5%. 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 7.3B; the larger quantity is 1.1× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are July 2024 and May 2024, about 2 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 Mistral 7B Instruct v0.3 if…
Choose Mistral 7B Instruct v0.3 when your task aligns with catalog-listed uses or strengths such as Deployments running established Mistral 7B fine-tunes, Learning and experimentation with well-documented model, Historic model — first to significantly outperform Llama 13B at 7B scale, Apache 2.0 — fully free commercial use.
Catalog specifications for Llama 3.1 8B Instruct and Mistral 7B Instruct v0.3
Specification
Llama 3.1 8B Instruct
Mistral 7B Instruct v0.3
Provider
Meta Llama
mistralai
Parameters
8B
7.3B
Context window
128K tokens
32K 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
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%
62.5%
Benchmark: HumanEval
72.6%
60.2%
Benchmark: MATH
51.9%
29.5%
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 Mistral 7B Instruct v0.3?
Llama 3.1 8B Instruct: 128K tokens; Mistral 7B Instruct v0.3: 32K tokens. Llama 3.1 8B Instruct has the larger listed context window. Llama 3.1 8B Instruct is listed for no specific capability flags; Mistral 7B Instruct v0.3 is listed for coding. Shared catalog benchmark entries: MMLU: Llama 3.1 8B Instruct 73.0%; Mistral 7B Instruct v0.3 62.5%; HumanEval: Llama 3.1 8B Instruct 72.6%; Mistral 7B Instruct v0.3 60.2%; MATH: Llama 3.1 8B Instruct 51.9%; Mistral 7B Instruct v0.3 29.5%. 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 Mistral 7B Instruct v0.3?
MMLU: Llama 3.1 8B Instruct 73.0%; Mistral 7B Instruct v0.3 62.5%; HumanEval: Llama 3.1 8B Instruct 72.6%; Mistral 7B Instruct v0.3 60.2%; MATH: Llama 3.1 8B Instruct 51.9%; Mistral 7B Instruct v0.3 29.5%. 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 Mistral 7B Instruct v0.3?
Llama 3.1 8B Instruct: Separate numeric input/output rates not listed (Free — Llama 3.1 Community License). Mistral 7B Instruct v0.3: 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 Mistral 7B Instruct v0.3?
The catalog lists Llama 3.1 8B Instruct as July 2024 and Mistral 7B Instruct v0.3 as May 2024, about 2 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 Mistral 7B Instruct v0.3?
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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