Skip to main content

Mistral Medium 3.5 vs o1 Pro

Mistral Medium 3.5 vs o1 Pro: Mistral Medium 3.5 is cheaper for input-heavy usage ($1.50/M vs $150.00/M input tokens), while Mistral Medium 3.5 is better for long-context tasks (256,000 tokens).

Direct answer: choose Mistral Medium 3.5 for lower token spend and choose Mistral Medium 3.5 when your workload needs longer context.

Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.

Mistral AI
Mistral Medium 3.5
vs
OpenAI
o1 Pro

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

Mistral Medium 3.5

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

o1 Pro

Per Request:$0.45
Daily:$45.00
Monthly:$1,350.00
Yearly:$16,425.00

Cost Differences

+$0.44475
Per Request
+$44.475
Daily
+$1,334.25
Monthly
+$16,233.375
Yearly

o1 Pro costs more than Mistral Medium 3.5

Quick Recommendation

Winner for direct API pricing: Mistral Medium 3.5. At the default workload, Mistral Medium 3.5 saves about $1,334.25/month ($16,233.375/year) versus o1 Pro.

Feature Comparison

FeatureMistral Medium 3.5o1 Pro
ProviderMistral AIOpenAI
Input Price$1.50/1M tokens$150.00/1M tokens
Output Price$7.50/1M tokens$600.00/1M tokens
Context Window256,000 tokens200,000 tokens
Max Output32,768 tokens100,000 tokens
Categoryflagshipflagship
Capabilities
textvisioncodereasoning
textvisioncodereasoning
Release Date4/29/202612/17/2024

Mistral Medium 3.5 vs o1 Pro: Which Should You Choose?

Choosing between Mistral Medium 3.5 and o1 Pro depends on your priorities: cost efficiency, context length, or raw capability. Mistral Medium 3.5 is the more affordable option at $1.50/1M input tokens99% cheaper than o1 Pro. Meanwhile, Mistral Medium 3.5 offers a significantly larger context window at 256,000 tokens vs 200,000 for o1 Pro.

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.

Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Mistral Medium 3.5 would save you roughly $133,425.00/month compared to o1 Pro. For startups and indie developers, that difference can be significant.

Output costs matter too. Mistral Medium 3.5 charges $7.50/1M output tokens vs $600.00 for o1 Pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Medium 3.5 has the edge here at $7.50/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose Mistral Medium 3.5 when:

  • • Budget is a primary concern
  • • You need a larger context window (256,000 tokens)
  • • You're already using Mistral AI's API ecosystem

Choose o1 Pro when:

  • • You need longer outputs (up to 100,000 tokens)
  • • You're already using OpenAI's API ecosystem

Pros and Caveats at a Glance

Mistral Medium 3.5

  • Input pricing: $1.50/M tokens
  • Output pricing: $7.50/M tokens
  • Context window: 256,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Trade-offs are minor in this matchup.

o1 Pro

  • Input pricing: $150.00/M tokens
  • Output pricing: $600.00/M tokens
  • Context window: 200,000 tokens
  • Max output: 100,000 tokens

Watch out for

  • Higher input cost than Mistral Medium 3.5
  • Higher output cost than Mistral Medium 3.5
  • Smaller context window than Mistral Medium 3.5

Try Different Scenarios

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

Mistral Medium 3.5 (Mistral AI)

o1 Pro (OpenAI)

Start using Mistral Medium 3.5 today

Sign Up for Mistral AI

Start using o1 Pro today

Sign Up for OpenAI

Frequently Asked Questions

Which is cheaper, Mistral Medium 3.5 or o1 Pro?
Mistral Medium 3.5 is cheaper for input tokens at $1.50 per million tokens vs $150.00 for o1 Pro — that's 99% savings on input costs.
What is the context window difference between Mistral Medium 3.5 and o1 Pro?
Mistral Medium 3.5 supports 256,000 tokens while o1 Pro supports 200,000 tokens — a difference of 56,000 tokens in favor of Mistral Medium 3.5.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Mistral Medium 3.5 is the lower-cost option, while Mistral Medium 3.5 offers a larger context window (256,000 vs 200,000 tokens). Choose Mistral Medium 3.5 for budget sensitivity or Mistral Medium 3.5 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 Medium 3.5 costs about $15.75/month and o1 Pro costs about $1,350.00/month. Overall, Mistral Medium 3.5 has lower combined input + output rates ($1.50 in, $7.50 out) vs o1 Pro.
Where can I compare Mistral AI and OpenAI API pricing beyond this model matchup?
See the Mistral AI vs OpenAI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

Related Comparisons

Related Articles

Learn when to pick each model, then compare live pricing scenarios.