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GPT-5.6 Sol vs Gemini 2.5 Flash-Lite

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.6 Sol Cost
$8.00
Gemini 2.5 Flash-Lite Cost
$0.18
Gemini 2.5 Flash-Lite is 98% cheaper
FeatureGPT-5.6 SolGemini 2.5 Flash-Lite
ProviderOpenAIGoogle
Input Price (1M)$4.00$0.10
Output Price (1M)$20.00$0.40
Context Window1,000,0001,000,000

Verdict

GPT-5.6 Sol costs $4.00 per 1M input tokens and $20.00 per 1M output tokens. Gemini 2.5 Flash-Lite costs $0.10 per 1M input tokens and $0.40 per 1M output tokens. Gemini 2.5 Flash-Lite is 98% cheaper on input tokens than GPT-5.6 Sol. For output tokens, Gemini 2.5 Flash-Lite is the more affordable option at $0.40/1M vs $20.00.

On context window, GPT-5.6 Sol 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-5.6 Sol

  • ✓ You are already integrated with OpenAI

When to choose Gemini 2.5 Flash-Lite

  • ✓ You need the lowest input token cost ($ 0.10/1M)
  • ✓ Your workload is output-heavy — Gemini 2.5 Flash-Lite 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-5.6 Sol cheaper than Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite is cheaper on input tokens at $0.10/1M vs $4.00/1M for GPT-5.6 Sol — a 98% saving.

What is the context window of GPT-5.6 Sol vs Gemini 2.5 Flash-Lite?

GPT-5.6 Sol has a 1,000,000-token context window. Gemini 2.5 Flash-Lite has a 1,000,000-token context window. GPT-5.6 Sol supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.6 Sol or Gemini 2.5 Flash-Lite?

The best choice depends on your use case. For cost efficiency on input tokens, Gemini 2.5 Flash-Lite is the cheaper option. For maximum context length, GPT-5.6 Sol supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.