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Mistral Small 3.2 vs o1-mini

Compare Mistral AI and OpenAI AI models

Mistral AI
Mistral Small 3.2
vs
OpenAI
o1-mini

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Mistral Small 3.2

Per Request:$0.000150
Daily:$0.015
Monthly:$0.45
Yearly:$5.475

o1-mini

Per Request:$0.003300
Daily:$0.33
Monthly:$9.90
Yearly:$120.45

Cost Differences

+$0.003150
Per Request
+$0.315
Daily
+$9.45
Monthly
+$114.975
Yearly

o1-mini costs more than Mistral Small 3.2

Feature Comparison

FeatureMistral Small 3.2o1-mini
ProviderMistral AIOpenAI
Input Price$0.06/1M tokens$1.10/1M tokens
Output Price$0.18/1M tokens$4.40/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output8,192 tokens65,536 tokens
Categoryefficientreasoning
Capabilities
textcode
textreasoning
Release Date12/2/20259/12/2024

Mistral Small 3.2 vs o1-mini: Which Should You Choose?

Choosing between Mistral Small 3.2 and o1-mini depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 3.2 is the more affordable option at $0.06/1M input tokens95% cheaper than o1-mini.

These models come from different providers — Mistral AI and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Mistral Small 3.2 is a efficient model while o1-mini is reasoning. This means they're optimized for different workloads. o1-mini targets more demanding workloads, while Mistral Small 3.2 provides a cost-effective option for everyday tasks.

Output costs matter too. Mistral Small 3.2 charges $0.18/1M output tokens vs $4.40 for o1-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 3.2 has the edge here at $0.18/1M output tokens.

Best Use Cases

Choose Mistral Small 3.2 when:

  • • Budget is a primary concern
  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose o1-mini when:

  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using OpenAI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Mistral Small 3.2 (Mistral AI)

o1-mini (OpenAI)

Start using Mistral Small 3.2 today

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Start using o1-mini today

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Frequently Asked Questions

Which is cheaper, Mistral Small 3.2 or o1-mini?
Mistral Small 3.2 is cheaper for input tokens at $0.06 per million tokens vs $1.10 for o1-mini — that's 95% savings on input costs.
What is the context window difference between Mistral Small 3.2 and o1-mini?
Mistral Small 3.2 supports 128,000 tokens while o1-mini supports 128,000 tokens — a difference of 0 tokens in favor of Mistral Small 3.2.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Mistral Small 3.2 is the lower-cost option, while Mistral Small 3.2 offers a larger context window (128,000 vs 128,000 tokens). Choose Mistral Small 3.2 for budget sensitivity or Mistral Small 3.2 for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Mistral Small 3.2 costs about $0.45/month and o1-mini costs about $9.90/month. Overall, Mistral Small 3.2 has lower combined input + output rates ($0.06 in, $0.18 out) vs o1-mini.

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