Ask

GPT-3.5 Turbo vs Gemini 3.7 Flash

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-3.5 Turbo Cost
$0.80
Gemini 3.7 Flash Cost
$1.50
GPT-3.5 Turbo is 47% cheaper
FeatureGPT-3.5 TurboGemini 3.7 Flash
ProviderOpenAIGoogle
Input Price (1M)$0.50$0.75
Output Price (1M)$1.50$3.75
Context Window16,3851,000,000

Verdict

GPT-3.5 Turbo costs $0.50 per 1M input tokens and $1.50 per 1M output tokens. Gemini 3.7 Flash costs $0.75 per 1M input tokens and $3.75 per 1M output tokens. GPT-3.5 Turbo is 33% cheaper on input tokens than Gemini 3.7 Flash. For output tokens, GPT-3.5 Turbo is the more affordable option at $1.50/1M vs $3.75.

On context window, Gemini 3.7 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-3.5 Turbo

  • ✓ You need the lowest input token cost ($ 0.50/1M)
  • ✓ Your workload is output-heavy — GPT-3.5 Turbo generates text cheaper
  • ✓ You are already integrated with OpenAI

When to choose Gemini 3.7 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-3.5 Turbo cheaper than Gemini 3.7 Flash?

GPT-3.5 Turbo is cheaper on input tokens at $0.50/1M vs $0.75/1M for Gemini 3.7 Flash — a 33% saving.

What is the context window of GPT-3.5 Turbo vs Gemini 3.7 Flash?

GPT-3.5 Turbo has a 16,385-token context window. Gemini 3.7 Flash has a 1,000,000-token context window. Gemini 3.7 Flash supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-3.5 Turbo or Gemini 3.7 Flash?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-3.5 Turbo is the cheaper option. For maximum context length, Gemini 3.7 Flash supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.