ModelRefs / DeepSeek R1 vs Mistral Small 3.1 — Benchmarks, Pricing & Co…

DeepSeek R1 vs Mistral Small 3.1 — Benchmarks, Pricing & Co…

DeepSeek R1 vs Mistral Small 3.1: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.

Overview

DeepSeek R1: DeepSeek R1 is DeepSeek's open-source reasoning model, trained with reinforcement learning to produce chain-of-thought reasoning before answering. Released in January 2025 under the MIT license, it matched or exceeded closed reasoning models on several math and coding benchmarks.

Context window: DeepSeek R1 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.

DeepSeek R1 vs Mistral Small 3.1 at a glance

AttributeDeepSeek R1Mistral Small 3.1
ProviderDeepSeekMistral AI
Released2025-01-202025-03-17
Context window128,000 tokens128,000 tokens
Input price$0.55/M tokens$0.1/M tokens
Output price$2.19/M tokens$0.3/M tokens
LicenceMITApache-2.0
Self-hostableYes, open weightsYes, open weights
Modalitiestexttext, vision

Where they differ most

  • Cost Efficiency: DeepSeek R1 75%, Mistral Small 3.1 95%. Mistral Small 3.1 leads on this dimension.
  • Reasoning: DeepSeek R1 76%, Mistral Small 3.1 67%. DeepSeek R1 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 DeepSeek R1 vs Mistral Small 3.1 — Benchmarks, Pricing & Co….

Frequently asked questions

Which is better, DeepSeek R1 or Mistral Small 3.1?

DeepSeek R1 and Mistral Small 3.1 target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is DeepSeek R1 cheaper than Mistral Small 3.1?

Compare $0.00055 vs $0.00010 on this page.