Skip to main content

Mistral Medium 3.5 vs o4-mini Deep Research

Mistral Medium 3.5 vs o4-mini Deep Research: Mistral Medium 3.5 is cheaper for input-heavy usage ($1.50/M vs $2.00/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
o4-mini Deep Research

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

o4-mini Deep Research

Per Request:$0.006000
Daily:$0.60
Monthly:$18.00
Yearly:$219.00

Cost Differences

+$0.000750
Per Request
+$0.075
Daily
+$2.25
Monthly
+$27.375
Yearly

o4-mini Deep Research 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 $2.25/month ($27.375/year) versus o4-mini Deep Research.

Feature Comparison

FeatureMistral Medium 3.5o4-mini Deep Research
ProviderMistral AIOpenAI
Input Price$1.50/1M tokens$2.00/1M tokens
Output Price$7.50/1M tokens$8.00/1M tokens
Context Window256,000 tokens200,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryflagshipreasoning
Capabilities
textvisioncodereasoning
textreasoningcode
Release Date4/29/20266/26/2025

Mistral Medium 3.5 vs o4-mini Deep Research: Which Should You Choose?

Choosing between Mistral Medium 3.5 and o4-mini Deep Research 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 tokens25% cheaper than o4-mini Deep Research. Meanwhile, Mistral Medium 3.5 offers a significantly larger context window at 256,000 tokens vs 200,000 for o4-mini Deep Research.

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 Medium 3.5 is a flagship model while o4-mini Deep Research is reasoning. This means they're optimized for different workloads. Mistral Medium 3.5 is built for complex tasks that require deeper reasoning, while o4-mini Deep Research offers better value for routine operations.

Output costs matter too. Mistral Medium 3.5 charges $7.50/1M output tokens vs $8.00 for o4-mini Deep Research. 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: Mistral Medium 3.5 supports vision (image inputs) while o4-mini Deep Research is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Mistral Medium 3.5 when:

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

Choose o4-mini Deep Research when:

  • • 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.

o4-mini Deep Research

  • Input pricing: $2.00/M tokens
  • Output pricing: $8.00/M tokens
  • Context window: 200,000 tokens
  • Max output: 32,768 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)

o4-mini Deep Research (OpenAI)

Start using Mistral Medium 3.5 today

Sign Up for Mistral AI

Start using o4-mini Deep Research today

Sign Up for OpenAI

Frequently Asked Questions

Which is cheaper, Mistral Medium 3.5 or o4-mini Deep Research?
Mistral Medium 3.5 is cheaper for input tokens at $1.50 per million tokens vs $2.00 for o4-mini Deep Research — that's 25% savings on input costs.
What is the context window difference between Mistral Medium 3.5 and o4-mini Deep Research?
Mistral Medium 3.5 supports 256,000 tokens while o4-mini Deep Research 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 o4-mini Deep Research costs about $18.00/month. Overall, Mistral Medium 3.5 has lower combined input + output rates ($1.50 in, $7.50 out) vs o4-mini Deep Research.
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.