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Mistral Small 4 vs o4-mini Deep Research

Mistral Small 4 vs o4-mini Deep Research: Mistral Small 4 is cheaper for input-heavy usage ($0.15/M vs $2.00/M input tokens), while o4-mini Deep Research is better for long-context tasks (200,000 tokens).

Direct answer: choose Mistral Small 4 for lower token spend and choose o4-mini Deep Research 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 Small 4
vs
OpenAI
o4-mini Deep Research

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

Mistral Small 4

Per Request:$0.000450
Daily:$0.045
Monthly:$1.35
Yearly:$16.425

o4-mini Deep Research

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

Cost Differences

+$0.005550
Per Request
+$0.555
Daily
+$16.65
Monthly
+$202.575
Yearly

o4-mini Deep Research costs more than Mistral Small 4

Quick Recommendation

Winner for direct API pricing: Mistral Small 4. At the default workload, Mistral Small 4 saves about $16.65/month ($202.575/year) versus o4-mini Deep Research.

Feature Comparison

FeatureMistral Small 4o4-mini Deep Research
ProviderMistral AIOpenAI
Input Price$0.15/1M tokens$2.00/1M tokens
Output Price$0.60/1M tokens$8.00/1M tokens
Context Window128,000 tokens200,000 tokens
Max Output16,384 tokens32,768 tokens
Categoryefficientreasoning
Capabilities
textvisioncodereasoning
textreasoningcode
Release Date3/18/20266/26/2025

Mistral Small 4 vs o4-mini Deep Research: Which Should You Choose?

Choosing between Mistral Small 4 and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 4 is the more affordable option at $0.15/1M input tokens93% cheaper than o4-mini Deep Research. Meanwhile, o4-mini Deep Research offers a significantly larger context window at 200,000 tokens vs 128,000 for Mistral Small 4.

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 4 is a efficient model while o4-mini Deep Research is reasoning. This means they're optimized for different workloads. o4-mini Deep Research targets more demanding workloads, while Mistral Small 4 provides a cost-effective option for everyday tasks.

Output costs matter too. Mistral Small 4 charges $0.60/1M 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 Small 4 has the edge here at $0.60/1M output tokens.

Multimodal capabilities: Mistral Small 4 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 Small 4 when:

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

Choose o4-mini Deep Research when:

  • • You need a larger context window (200,000 tokens)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using OpenAI's API ecosystem

Pros and Caveats at a Glance

Mistral Small 4

  • Input pricing: $0.15/M tokens
  • Output pricing: $0.60/M tokens
  • Context window: 128,000 tokens
  • Max output: 16,384 tokens

Watch out for

  • Smaller context window than o4-mini Deep Research

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 Small 4
  • Higher output cost than Mistral Small 4

Try Different Scenarios

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

Mistral Small 4 (Mistral AI)

o4-mini Deep Research (OpenAI)

Start using Mistral Small 4 today

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Start using o4-mini Deep Research today

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Frequently Asked Questions

Which is cheaper, Mistral Small 4 or o4-mini Deep Research?
Mistral Small 4 is cheaper for input tokens at $0.15 per million tokens vs $2.00 for o4-mini Deep Research — that's 93% savings on input costs.
What is the context window difference between Mistral Small 4 and o4-mini Deep Research?
Mistral Small 4 supports 128,000 tokens while o4-mini Deep Research supports 200,000 tokens — a difference of 72,000 tokens in favor of o4-mini Deep Research.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Mistral Small 4 is the lower-cost option, while o4-mini Deep Research offers a larger context window (200,000 vs 128,000 tokens). Choose Mistral Small 4 for budget sensitivity or o4-mini Deep Research 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 4 costs about $1.35/month and o4-mini Deep Research costs about $18.00/month. Overall, Mistral Small 4 has lower combined input + output rates ($0.15 in, $0.60 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.

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