OSAIM
Open Source AI Models

Comparison

Llama 3.3 70B Instruct vs Qwen2.5 72B Instruct

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
Qwen2.5 72B Instruct
Alibaba · Qwen

The flagship Qwen 2.5 release. Competes with Llama 3.1 405B on many benchmarks at one-fifth the parameter count. Note the 72B specifically uses the Qwen License (commercial use up to 100M MAU) — the smaller Qwen2.5 sizes are Apache 2.0.

Specs

Parameters70B72B
Context length128K128K
Modalitytexttext
Released2024-12-062024-09-18
LicenseLlama 3 Community LicenseQwen License
Commercial useYesYes
VRAM fp16140 GB144 GB
VRAM Q442 GB43.2 GB

Benchmarks

HumanEval88.486.6
MATH77.083.1
MMLU86.086.1
MMLU-Pro68.9

Cheapest hosted pricing

Llama 3.3 70B Instruct
deepinfra: $0.23 in / $0.40 out per 1M tokens
Qwen2.5 72B Instruct
together: $1.20 in / $1.20 out per 1M tokens
Highlighted cells indicate the better value for that row (higher score, larger context, lower VRAM).