ModelRefs / BGE-M3 vs Llama 4 Scout — Benchmarks, Pricing & Coding Comp…

BGE-M3 vs Llama 4 Scout — Benchmarks, Pricing & Coding Comp…

BGE-M3 vs Llama 4 Scout: 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.

Llama 4 Scout: Llama 4 Scout is Meta's efficiency-focused open-weights model with an exceptionally large 10M-token context window and vision support. It is optimized for long-document retrieval and low-cost inference at scale.

Context window: BGE-M3 accepts up to 8,192 tokens, Llama 4 Scout up to 10,000,000. Confirm the limit for your specific deployment channel before relying on it.

BGE-M3 vs Llama 4 Scout at a glance

AttributeBGE-M3Llama 4 Scout
ProviderBAAIMeta
Released2024-01-302025-04-01
Context window8,192 tokens10,000,000 tokens
Input priceFree / self-hosted$0.11/M tokens
Output priceFree / self-hosted$0.34/M tokens
LicenceMITLlama 4 Community
Self-hostableYes, open weightsYes, open weights
Modalitiestext, Embedding, Open Source, Multilingual, BAAItext, vision

Where they differ most

  • Cost Efficiency: BGE-M3 100%, Llama 4 Scout 94%. 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 Llama 4 Scout — Benchmarks, Pricing & Coding Comp….

Frequently asked questions

Which is better, BGE-M3 or Llama 4 Scout?

BGE-M3 and Llama 4 Scout target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is BGE-M3 cheaper than Llama 4 Scout?

Compare Free — open weights vs $0.00011 on this page.