OSAIM
Open Source AI Models

Comparison

Llama 3.3 70B Instruct vs Mistral Small 3

Side-by-side specs, benchmarks and hosted-inference pricing.

Side A
Llama 3.3 70B Instruct
Meta · Llama

Meta's December 2024 refresh of Llama 3 70B that closes most of the gap with Llama 3.1 405B for chat workloads while remaining tractable on a single H100. Strong instruction following, robust tool-use behaviour, and a 128K context window make it the default choice for production chat at 70B scale. The 3.3 release was trained on a refreshed instruction-tuning data mix and benefits from Meta's most recent alignment work. It outperforms the much larger 3.1 405B on several reasoning benchmarks at a fraction of inference cost. The licence is the Llama 3 Community License, which permits commercial use unless your service exceeds 700M monthly active users. Good pick for: production chat at scale, RAG over long documents, agentic workflows where tool use matters, and any 70B-tier replacement for closed proprietary models.

Side B
Mistral Small 3
Mistral AI · Mistral

24B dense model from Mistral's January 2025 release that competes with Llama 3.3 70B on many tasks at a third of the parameter count. Apache 2.0 licensed and small enough to run on a single 4090 at Q4. Good pick when you want Llama-3.3-70B-class chat quality but at a friendlier hardware budget, or when the licence matters and Llama's community terms don't fit.

Specs

Parameters70B24B
Context length128K33K
Modalitytexttext
Released2024-12-062025-01-30
LicenseLlama 3 Community LicenseApache 2.0
Commercial useYesYes
VRAM fp16140 GB48 GB
VRAM Q442 GB14.4 GB

Benchmarks

HumanEval88.484.8
MATH77.070.6
MMLU86.081.0
MMLU-Pro68.9

Cheapest hosted pricing

Llama 3.3 70B Instruct
deepinfra: $0.23 in / $0.40 out per 1M tokens
Mistral Small 3
together: $0.80 in / $0.80 out per 1M tokens
Highlighted cells indicate the better value for that row (higher score, larger context, lower VRAM).