ModelRefs / Phi-4 vs Mistral Small 3.1 — Benchmarks, Pricing & Coding C…

Phi-4 vs Mistral Small 3.1 — Benchmarks, Pricing & Coding C…

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

Overview

Phi-4: Microsoft's 14B dense decoder-only open-weight text model, trained on 9.8T tokens with a synthetic-data-centered curriculum and available through the microsoft/phi-4 artifact and Microsoft Foundry.

Context window: Mistral Small 3.1 accepts up to 128,000 tokens, Phi-4 up to 16,384. Confirm the limit for your specific deployment channel before relying on it.

Mistral Small 3.1 vs Phi-4 at a glance

AttributeMistral Small 3.1Phi-4
ProviderMistral AIMicrosoft
Released2025-03-172024-12-12
Context window128,000 tokens16,384 tokens
Input price$0.1/M tokensFree / self-hosted
Output price$0.3/M tokensFree / self-hosted
LicenceApache-2.0MIT
Self-hostableYes, open weightsYes, open weights
Modalitiestext, visiontext

Where they differ most

  • Cost Efficiency: Mistral Small 3.1 95%, Phi-4 100%. Phi-4 leads on this dimension.
  • Reasoning: Mistral Small 3.1 67%, Phi-4 65%. 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 Phi-4 vs Mistral Small 3.1 — Benchmarks, Pricing & Coding C….

Frequently asked questions

Which is better, Phi-4 or Mistral Small 3.1?

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

Is Phi-4 cheaper than Mistral Small 3.1?

Compare $0.00000 vs $0.00010 on this page.