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Mistral Large 3 vs o4-mini

Compare Mistral AI and OpenAI AI models

Mistral AI
Mistral Large 3
vs
OpenAI
o4-mini

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

Mistral Large 3

Per Request:$0.001250
Daily:$0.125
Monthly:$3.75
Yearly:$45.625

o4-mini

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

Cost Differences

+$0.002050
Per Request
+$0.205
Daily
+$6.15
Monthly
+$74.825
Yearly

o4-mini costs more than Mistral Large 3

Feature Comparison

FeatureMistral Large 3o4-mini
ProviderMistral AIOpenAI
Input Price$0.50/1M tokens$1.10/1M tokens
Output Price$1.50/1M tokens$4.40/1M tokens
Context Window256,000 tokens2,000,000 tokens
Max Output32,768 tokens131,072 tokens
Categoryflagshipreasoning
Capabilities
textcodereasoning
textreasoningcode
Release Date12/2/20254/16/2025

Mistral Large 3 vs o4-mini: Which Should You Choose?

Choosing between Mistral Large 3 and o4-mini depends on your priorities: cost efficiency, context length, or raw capability. Mistral Large 3 is the more affordable option at $0.50/1M input tokens55% cheaper than o4-mini. Meanwhile, o4-mini offers a significantly larger context window at 2,000,000 tokens vs 256,000 for Mistral Large 3.

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 Large 3 is a flagship model while o4-mini is reasoning. This means they're optimized for different workloads. Mistral Large 3 is built for complex tasks that require deeper reasoning, while o4-mini offers better value for routine operations.

Output costs matter too. Mistral Large 3 charges $1.50/1M output tokens vs $4.40 for o4-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Large 3 has the edge here at $1.50/1M output tokens.

Best Use Cases

Choose Mistral Large 3 when:

  • • Budget is a primary concern
  • • You're already using Mistral AI's API ecosystem

Choose o4-mini when:

  • • You need a larger context window (2,000,000 tokens)
  • • You need longer outputs (up to 131,072 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 Large 3 (Mistral AI)

o4-mini (OpenAI)

Start using Mistral Large 3 today

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Start using o4-mini today

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Frequently Asked Questions

Which is cheaper, Mistral Large 3 or o4-mini?
Mistral Large 3 is cheaper for input tokens at $0.50 per million tokens vs $1.10 for o4-mini — that's 55% savings on input costs.
What is the context window difference between Mistral Large 3 and o4-mini?
Mistral Large 3 supports 256,000 tokens while o4-mini supports 2,000,000 tokens — a difference of 1,744,000 tokens in favor of o4-mini.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Mistral Large 3 is the lower-cost option, while o4-mini offers a larger context window (2,000,000 vs 256,000 tokens). Choose Mistral Large 3 for budget sensitivity or o4-mini 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 Large 3 costs about $3.75/month and o4-mini costs about $9.90/month. Overall, Mistral Large 3 has lower combined input + output rates ($0.50 in, $1.50 out) vs o4-mini.

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