Gemini 3.1 Pro vs GPT-5.4 Nano

For a typical workload (100,000 requests / mo), GPT-5.4 Nano costs 90% less — $74.00/mo vs $720.00/mo.

Projected monthly cost

Rows open both models in the calculator — adjust volume and token counts there.

Native audio, video, and document understanding with a ~1M token context window — strong fit for multi-modal RAG and large-document analysis.

Output token cost is steep relative to input, and the largest context windows can be slow to fill — chunk large documents where possible.

Cheapest OpenAI option for high-throughput classification, tagging, and routing — ideal as a first-pass filter before a stronger model.

Limited reasoning depth means it should be treated as a triage layer, not a final answer source, for anything business-critical.

Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.