ModelRefs / Text Embedding 3 Large vs Mistral Small 3.1 — Benchmarks, P…

Text Embedding 3 Large vs Mistral Small 3.1 — Benchmarks, P…

Text Embedding 3 Large vs Mistral Small 3.1: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your…

Overview

Context window: Mistral Small 3.1 accepts up to 128,000 tokens, Text Embedding 3 Large up to 8,191. Confirm the limit for your specific deployment channel before relying on it.

Mistral Small 3.1 vs Text Embedding 3 Large at a glance

AttributeMistral Small 3.1Text Embedding 3 Large
ProviderMistral AIOpenAI
Released2025-03-172024-01-25
Context window128,000 tokens8,191 tokens
Input price$0.1/M tokens$0.13/M tokens
Output price$0.3/M tokensFree / self-hosted
LicenceApache-2.0Proprietary
Self-hostableYes, open weightsNo, hosted only
Modalitiestext, visiontext, Embedding

Where they differ most

  • Cost Efficiency: Mistral Small 3.1 95%, Text Embedding 3 Large 99%. Text Embedding 3 Large 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 Text Embedding 3 Large vs Mistral Small 3.1 — Benchmarks, P….

Frequently asked questions

Which is better, Text Embedding 3 Large or Mistral Small 3.1?

Text Embedding 3 Large and Mistral Small 3.1 target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is Text Embedding 3 Large cheaper than Mistral Small 3.1?

Compare $0.00013 vs $0.00010 on this page.