ModelRefs / GPT-4o vs Mistral Small 3.1 — Benchmarks, Pricing & Coding…

GPT-4o vs Mistral Small 3.1 — Benchmarks, Pricing & Coding…

GPT-4o vs Mistral Small 3.1: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.

Overview

Context window: GPT-4o accepts up to 128,000 tokens, Mistral Small 3.1 up to 128,000. Confirm the limit for your specific deployment channel before relying on it.

GPT-4o vs Mistral Small 3.1 at a glance

AttributeGPT-4oMistral Small 3.1
ProviderOpenAIMistral AI
Released2024-05-132025-03-17
Context window128,000 tokens128,000 tokens
Input price$2.5/M tokens$0.1/M tokens
Output price$10/M tokens$0.3/M tokens
LicenceProprietaryApache-2.0
Self-hostableNo, hosted onlyYes, open weights
Modalitiestext, vision, audiotext, vision

Where they differ most

  • Cost Efficiency: GPT-4o 46%, Mistral Small 3.1 95%. Mistral Small 3.1 leads on this dimension.
  • Reasoning: GPT-4o 69%, Mistral Small 3.1 67%. GPT-4o 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 GPT-4o vs Mistral Small 3.1 — Benchmarks, Pricing & Coding….

Frequently asked questions

Which is better, GPT-4o or Mistral Small 3.1?

GPT-4o and Mistral Small 3.1 target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is GPT-4o cheaper than Mistral Small 3.1?

Compare $0.00250 vs $0.00010 on this page.