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Codex Mini vs Mistral Medium 3.5

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

Direct answer: choose Codex Mini 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.

OpenAI
Codex Mini
vs
Mistral AI
Mistral Medium 3.5

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

Codex Mini

Per Request:$0.004500
Daily:$0.45
Monthly:$13.50
Yearly:$164.25

Mistral Medium 3.5

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

Cost Differences

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

Mistral Medium 3.5 costs more than Codex Mini

Quick Recommendation

Winner for direct API pricing: Codex Mini. At the default workload, Codex Mini saves about $2.25/month ($27.375/year) versus Mistral Medium 3.5.

Feature Comparison

FeatureCodex MiniMistral Medium 3.5
ProviderOpenAIMistral AI
Input Price$1.50/1M tokens$1.50/1M tokens
Output Price$6.00/1M tokens$7.50/1M tokens
Context Window200,000 tokens256,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryefficientflagship
Capabilities
textcodereasoning
textvisioncodereasoning
Release Date2/2/20264/29/2026

Codex Mini vs Mistral Medium 3.5: Which Should You Choose?

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

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

These models target different tiers: Codex Mini is a efficient model while Mistral Medium 3.5 is flagship. This means they're optimized for different workloads. Mistral Medium 3.5 targets more demanding workloads, while Codex Mini provides a cost-effective option for everyday tasks.

Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $7.50 for Mistral Medium 3.5. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Codex Mini has the edge here at $6.00/1M output tokens.

Multimodal capabilities: Mistral Medium 3.5 supports vision (image inputs) while Codex Mini is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Codex Mini when:

  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Mistral Medium 3.5 when:

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

Pros and Caveats at a Glance

Codex Mini

  • Input pricing: $1.50/M tokens
  • Output pricing: $6.00/M tokens
  • Context window: 200,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Smaller context window than Mistral Medium 3.5

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

  • Higher output cost than Codex Mini

Try Different Scenarios

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

Codex Mini (OpenAI)

Mistral Medium 3.5 (Mistral AI)

Start using Codex Mini today

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Start using Mistral Medium 3.5 today

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Frequently Asked Questions

Which is cheaper, Codex Mini or Mistral Medium 3.5?
Codex Mini is cheaper for input tokens at $1.50 per million tokens vs $1.50 for Mistral Medium 3.5.
What is the context window difference between Codex Mini and Mistral Medium 3.5?
Codex Mini supports 200,000 tokens while Mistral Medium 3.5 supports 256,000 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, Codex Mini is the lower-cost option, while Mistral Medium 3.5 offers a larger context window (256,000 vs 200,000 tokens). Choose Codex Mini 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, Codex Mini costs about $13.50/month and Mistral Medium 3.5 costs about $15.75/month. Overall, Codex Mini has lower combined input + output rates ($1.50 in, $6.00 out) vs Mistral Medium 3.5.
Where can I compare OpenAI and Mistral AI API pricing beyond this model matchup?
See the OpenAI vs Mistral AI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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