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GPT-4o vs Ministral 3 14B

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-4o Cost
$4.50
Ministral 3 14B Cost
$0.24
Ministral 3 14B is 95% cheaper
FeatureGPT-4oMinistral 3 14B
ProviderOpenAIMistral
Input Price (1M)$2.50$0.20
Output Price (1M)$10.00$0.20
Context Window128,000262,000

Verdict

GPT-4o costs $2.50 per 1M input tokens and $10.00 per 1M output tokens. Ministral 3 14B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens. Ministral 3 14B is 92% cheaper on input tokens than GPT-4o. For output tokens, Ministral 3 14B is the more affordable option at $0.20/1M vs $10.00.

On context window, Ministral 3 14B supports 262,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose GPT-4o

  • ✓ You are already integrated with OpenAI

When to choose Ministral 3 14B

  • ✓ You need the lowest input token cost ($ 0.20/1M)
  • ✓ Your workload is output-heavy — Ministral 3 14B generates text cheaper
  • ✓ You need a larger context window (262,000 tokens)
  • ✓ You are already integrated with Mistral

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is GPT-4o cheaper than Ministral 3 14B?

Ministral 3 14B is cheaper on input tokens at $0.20/1M vs $2.50/1M for GPT-4o — a 92% saving.

What is the context window of GPT-4o vs Ministral 3 14B?

GPT-4o has a 128,000-token context window. Ministral 3 14B has a 262,000-token context window. Ministral 3 14B supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-4o or Ministral 3 14B?

The best choice depends on your use case. For cost efficiency on input tokens, Ministral 3 14B is the cheaper option. For maximum context length, Ministral 3 14B supports 262,000 tokens. Use the comparison table above to find the right fit for your workload.