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Gemini 2.0 Flash vs GPT-5.4

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Gemini 2.0 Flash Cost
$0.18
GPT-5.4 Cost
$5.50
Gemini 2.0 Flash is 97% cheaper
FeatureGemini 2.0 FlashGPT-5.4
ProviderGoogleOpenAI
Input Price (1M)$0.10$2.50
Output Price (1M)$0.40$15.00
Context Window1,000,0001,050,000

Verdict

Gemini 2.0 Flash costs $0.10 per 1M input tokens and $0.40 per 1M output tokens. GPT-5.4 costs $2.50 per 1M input tokens and $15.00 per 1M output tokens. Gemini 2.0 Flash is 96% cheaper on input tokens than GPT-5.4. For output tokens, Gemini 2.0 Flash is the more affordable option at $0.40/1M vs $15.00.

On context window, GPT-5.4 supports 1,050,000 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 Gemini 2.0 Flash

  • ✓ You need the lowest input token cost ($ 0.10/1M)
  • ✓ Your workload is output-heavy — Gemini 2.0 Flash generates text cheaper
  • ✓ You are already integrated with Google

When to choose GPT-5.4

  • ✓ You need a larger context window (1,050,000 tokens)
  • ✓ You are already integrated with OpenAI

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 Gemini 2.0 Flash cheaper than GPT-5.4?

Gemini 2.0 Flash is cheaper on input tokens at $0.10/1M vs $2.50/1M for GPT-5.4 — a 96% saving.

What is the context window of Gemini 2.0 Flash vs GPT-5.4?

Gemini 2.0 Flash has a 1,000,000-token context window. GPT-5.4 has a 1,050,000-token context window. GPT-5.4 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Gemini 2.0 Flash or GPT-5.4?

The best choice depends on your use case. For cost efficiency on input tokens, Gemini 2.0 Flash is the cheaper option. For maximum context length, GPT-5.4 supports 1,050,000 tokens. Use the comparison table above to find the right fit for your workload.