Comparisons 9 min read· 8 Jul 2026· By Research
GPT-5.4 Mini vs Gemini 3 Flash — real cost-per-1K in rupees
A head-to-head cost breakdown for chatbots, RAG, and agentic workloads, with actual INR numbers.
GPT-5.4 Mini and Gemini 3 Flash sit at similar quality tiers, but their token pricing differs dramatically once you convert to INR and factor in your actual input/output ratio.
Chat workload (1:1 in/out)#
For a customer-support chatbot averaging 800 input and 800 output tokens per turn: GPT-5.4 Mini ≈ ₹2.00 per 1000 turns. Gemini 3 Flash ≈ ₹0.60 for the same. Gemini is roughly 3.3× cheaper at this ratio.
RAG workload (10:1 in/out)#
RAG flows push heavy context in and get short answers back. Gemini's cheap input tokens pull further ahead — roughly 3.5× cheaper at scale.
Agentic workload (deep tool loops)#
Tool-heavy agents often re-send the full history each step. Prompt caching narrows the gap — see prompt caching for details.
Rule of thumb: Gemini 3 Flash for context-heavy work, GPT-5.4 for reasoning-heavy work, Claude tier for long-form writing.
The table#
- Chat (1:1): Gemini 3 Flash wins on cost
- RAG (10:1): Gemini 3 Flash wins by 3.5×
- Reasoning: GPT-5.4 Mini wins on eval quality
- Tool use: GPT-5.4 slightly better; Gemini 3 Flash cheaper