ModelRefs / BGE-M3 vs Mistral Small 3.1 — Benchmarks, Pricing & Coding…

BGE-M3 vs Mistral Small 3.1 — Benchmarks, Pricing & Coding…

BGE-M3 vs Mistral Small 3.1: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.

Overview

BGE-M3: BAAI's 568M-parameter multilingual embedding and retrieval model supporting dense, sparse, and multi-vector representations with inputs up to 8,192 tokens.

Context window: BGE-M3 accepts up to 8,192 tokens, Mistral Small 3.1 up to 128,000. Confirm the limit for your specific deployment channel before relying on it.

BGE-M3 vs Mistral Small 3.1 at a glance

AttributeBGE-M3Mistral Small 3.1
ProviderBAAIMistral AI
Released2024-01-302025-03-17
Context window8,192 tokens128,000 tokens
Input priceFree / self-hosted$0.1/M tokens
Output priceFree / self-hosted$0.3/M tokens
LicenceMITApache-2.0
Self-hostableYes, open weightsYes, open weights
Modalitiestext, Embedding, Open Source, Multilingual, BAAItext, vision

Where they differ most

  • Cost Efficiency: BGE-M3 100%, Mistral Small 3.1 95%. BGE-M3 leads on this dimension.

Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to BGE-M3 vs Mistral Small 3.1 — Benchmarks, Pricing & Coding….

Frequently asked questions

Which is better, BGE-M3 or Mistral Small 3.1?

BGE-M3 and Mistral Small 3.1 target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is BGE-M3 cheaper than Mistral Small 3.1?

Compare Free — open weights vs $0.00010 on this page.