OSAIM
Open Source AI Models

Comparison

Qwen2.5 7B Instruct vs Mistral 7B v0.3

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

Side A
Qwen2.5 7B Instruct
Alibaba · Qwen

Apache-2.0-licensed 7B model with surprisingly strong reasoning and multilingual chops. Qwen 2.5 trains on a larger and more carefully filtered corpus than the original Qwen series, and the 7B variant punches well above its weight on coding and math benchmarks. A strong default for cost-sensitive chat workloads and for fine-tuning experiments where the Apache licence simplifies downstream redistribution.

Side B
Mistral 7B v0.3
Mistral AI · Mistral

The original Mistral 7B refresh with 32K context and extended vocabulary. Permissive Apache 2.0 weights and the first widely-deployed sliding-window-attention model. Still useful in 2026 for very-low-cost inference and as a baseline for fine-tuning experiments.

Specs

Parameters7B7B
Context length128K33K
Modalitytexttext
Released2024-09-182024-05-22
LicenseApache 2.0Apache 2.0
Commercial useYesYes
VRAM fp1614 GB14 GB
VRAM Q44.2 GB4.2 GB

Benchmarks

HumanEval84.830.5
MATH75.513.1
MMLU74.260.1

Cheapest hosted pricing

Qwen2.5 7B Instruct
deepinfra: $0.08 in / $0.30 out per 1M tokens
Mistral 7B v0.3
together: $0.20 in / $0.20 out per 1M tokens
Highlighted cells indicate the better value for that row (higher score, larger context, lower VRAM).