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LLM Toolkit

Model comparison

GPT-4o mini vs GPT-5 nano

Verified pricing, context windows and real-workload costs for both models — computed from official provider rates as of 2026-08-25.

Cheaper input

GPT-5 nano

$0.05 /1M in

Cheaper output

GPT-5 nano

$0.4 /1M out

Bigger context

GPT-5 nano

400K tokens

Head to head

Spec GPT-4o mini GPT-5 nano
Input / 1M tokens $0.15 $0.05
Cached input / 1M $0.037 $0.005
Output / 1M tokens $0.6 $0.4
Context window 128K 400K
Provider OpenAI OpenAI
Price verified 2026-08-25 2026-08-25

Monthly cost at three real workloads

Workload GPT-4o mini GPT-5 nano Winner
Side-project chatbot 30K req · 2,000 in / 500 out · 40% cached $15.30/mo $7.92/mo GPT-5 nano
Coding agent 500K req · 12,000 in / 1,500 out · 70% cached $877.50/mo $411.00/mo GPT-5 nano
Bulk extraction 2,000K req · 800 in / 120 out · 20% cached $348.00/mo $161.60/mo GPT-5 nano

Computed from list prices verified 2026-08-25. Cache savings blend normal and cached input rates by the hit rate; models without published cached rates use the base input price. Adjust every parameter yourself on the API Cost Calculator.

Pick GPT-4o mini if…

  • You prefer its $0.15 input rate for read-heavy workloads.
  • Your documents fit its 128K window comfortably.
  • You value its provider ecosystem and tooling.

Pick GPT-5 nano if…

  • You generate long outputs — $0.4 per 1M output vs $0.6 adds up fast.
  • You need 400K tokens of context for large codebases or document sets.
  • You want cheaper total spend at your exact volumes — verify with the calculator above.

Frequently asked questions

Is GPT-4o mini cheaper than GPT-5 nano?

GPT-5 nano is cheaper on input at $0.05 per 1M tokens vs $0.15 — input pricing is 3.0× more expensive. On output, GPT-5 nano wins at $0.4 vs $0.6. At a balanced workload (100K requests, 2K in / 500 out), GPT-5 nano runs $30.00/mo vs $60.00/mo — a 2.0× difference.

GPT-4o mini vs GPT-5 nano: which has the bigger context window?

GPT-5 nano, with 400K tokens vs 128K — 3.1× more room. Filling GPT-5 nano's window once costs $0.020 at list price, vs $0.019 for the smaller window.

Should I switch from GPT-4o mini to GPT-5 nano?

Switch if your bottleneck matches GPT-5 nano's strengths: the larger 400K context and cheaper output tokens ($0.4 vs $0.6). Stay on GPT-4o mini if your workload already fits its limits. Test both with your real token counts before committing.

Keep comparing

Or measure your real usage with the AI Token Counter and browse all rates on the Pricing Comparison.