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GPT-5.4 nano vs Gemini 2.5 Flash

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.4 nano Cost
$0.45
Gemini 2.5 Flash Cost
$0.80
GPT-5.4 nano is 44% cheaper
FeatureGPT-5.4 nanoGemini 2.5 Flash
ProviderOpenAIGoogle
Input Price (1M)$0.20$0.30
Output Price (1M)$1.25$2.50
Context Window400,0001,000,000

Verdict

GPT-5.4 nano costs $0.20 per 1M input tokens and $1.25 per 1M output tokens. Gemini 2.5 Flash costs $0.30 per 1M input tokens and $2.50 per 1M output tokens. GPT-5.4 nano is 33% cheaper on input tokens than Gemini 2.5 Flash. For output tokens, GPT-5.4 nano is the more affordable option at $1.25/1M vs $2.50.

On context window, Gemini 2.5 Flash supports 1,000,000 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-5.4 nano

  • ✓ You need the lowest input token cost ($ 0.20/1M)
  • ✓ Your workload is output-heavy — GPT-5.4 nano generates text cheaper
  • ✓ You are already integrated with OpenAI

When to choose Gemini 2.5 Flash

  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Google

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-5.4 nano cheaper than Gemini 2.5 Flash?

GPT-5.4 nano is cheaper on input tokens at $0.20/1M vs $0.30/1M for Gemini 2.5 Flash — a 33% saving.

What is the context window of GPT-5.4 nano vs Gemini 2.5 Flash?

GPT-5.4 nano has a 400,000-token context window. Gemini 2.5 Flash has a 1,000,000-token context window. Gemini 2.5 Flash supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.4 nano or Gemini 2.5 Flash?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-5.4 nano is the cheaper option. For maximum context length, Gemini 2.5 Flash supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.