Other Models to Consider
Which Model for Which Use Case?
Long Document Processing
Gemini 3.5 Flash's 1M context window handles entire codebases, legal contracts, or research papers in a single request. GPT-5's 272K context may require chunking.
High-Input Classification
For workloads with heavy input tokens (document classification, sentiment analysis), GPT-5's 17% cheaper input pricing ($1.25 vs $1.50/M) adds up at scale.
Content Generation
Content generation is output-heavy. Gemini 3.5 Flash is 10% cheaper on output ($9.00 vs $10.00/M), making it the better choice for blog posts, marketing copy, and creative writing.
Function Calling & Agents
GPT-5 has mature function calling and the Assistants API for building AI agents. If you need tool use, OpenAI's ecosystem is more battle-tested.
Comparing Google and OpenAI?
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Frequently Asked Questions
Is GPT-5 cheaper than Gemini 3.5 Flash?
On input tokens, yes — GPT-5 costs $1.25/M vs Gemini 3.5 Flash at $1.50/M (17% cheaper). On output tokens, Gemini is cheaper at $9.00/M vs GPT-5's $10.00/M (10% cheaper). Overall cost depends on your input/output ratio.
Which has a larger context window?
Gemini 3.5 Flash has a 1M token context window — 3.7x larger than GPT-5's 272K context. For long documents, codebases, or extended conversations, Gemini handles significantly more context in a single request.
When should I choose GPT-5?
Choose GPT-5 if you need OpenAI's ecosystem (function calling, Assistants API, GPT plugins), prefer OpenAI's reasoning quality, or have high-input/low-output workloads where GPT-5's cheaper input pricing matters most.
When should I choose Gemini 3.5 Flash?
Choose Gemini 3.5 Flash if you need a 1M context window for long documents, want Google Cloud/Vertex AI integration, have high-output workloads where Gemini's cheaper output matters, or need multimodal capabilities.
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