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GPT-5.5 vs Gemini 3 Flash

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.5 Cost
$11.00
Gemini 3 Flash Cost
$1.10
Gemini 3 Flash is 90% cheaper
FeatureGPT-5.5Gemini 3 Flash
ProviderOpenAIGoogle
Input Price (1M)$5.00$0.50
Output Price (1M)$30.00$3.00
Context Window1,000,0001,000,000

Verdict

GPT-5.5 costs $5.00 per 1M input tokens and $30.00 per 1M output tokens. Gemini 3 Flash costs $0.50 per 1M input tokens and $3.00 per 1M output tokens. Gemini 3 Flash is 90% cheaper on input tokens than GPT-5.5. For output tokens, Gemini 3 Flash is the more affordable option at $3.00/1M vs $30.00.

On context window, GPT-5.5 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-5.5

  • ✓ You are already integrated with OpenAI

When to choose Gemini 3 Flash

  • ✓ You need the lowest input token cost ($ 0.50/1M)
  • ✓ Your workload is output-heavy — Gemini 3 Flash generates text cheaper
  • ✓ 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-5.5 cheaper than Gemini 3 Flash?

Gemini 3 Flash is cheaper on input tokens at $0.50/1M vs $5.00/1M for GPT-5.5 — a 90% saving.

What is the context window of GPT-5.5 vs Gemini 3 Flash?

GPT-5.5 has a 1,000,000-token context window. Gemini 3 Flash has a 1,000,000-token context window. GPT-5.5 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.5 or Gemini 3 Flash?

The best choice depends on your use case. For cost efficiency on input tokens, Gemini 3 Flash is the cheaper option. For maximum context length, GPT-5.5 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.