ModelRefs / Mistral Small 3.1 vs Gemini 2.5 Pro — Benchmarks, Pricing &…

Mistral Small 3.1 vs Gemini 2.5 Pro — Benchmarks, Pricing &…

Mistral Small 3.1 vs Gemini 2.5 Pro: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.

Overview

Gemini 2.5 Pro: Gemini 2.5 Pro is Google DeepMind's experimental thinking model with a 2M-token multimodal context window, released in March 2025. It topped the LMSys Chatbot Arena leaderboard at launch and introduced adaptive reasoning budgets that balance response quality against latency.

Context window: Gemini 2.5 Pro accepts up to 2,000,000 tokens, Mistral Small 3.1 up to 128,000. Confirm the limit for your specific deployment channel before relying on it.

Gemini 2.5 Pro vs Mistral Small 3.1 at a glance

AttributeGemini 2.5 ProMistral Small 3.1
ProviderGoogleMistral AI
Released2025-03-012025-03-17
Context window2,000,000 tokens128,000 tokens
Input price$1.25/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, audio, videotext, vision

Where they differ most

  • Cost Efficiency: Gemini 2.5 Pro 47%, Mistral Small 3.1 95%. Mistral Small 3.1 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 Mistral Small 3.1 vs Gemini 2.5 Pro — Benchmarks, Pricing &….

Frequently asked questions

Which is better, Mistral Small 3.1 or Gemini 2.5 Pro?

Mistral Small 3.1 and Gemini 2.5 Pro target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is Mistral Small 3.1 cheaper than Gemini 2.5 Pro?

Compare $0.00010 vs $0.00125 on this page.