GPT-5.4 vs Gemini 3 Pro
GPT-5.4 is the lower-priced of the two on Router One — about 83% less on a 1M-input + 1M-output mix. Both carry a 1.05M context window. GPT-5.4 answers on /v1/chat/completions and /v1/responses (Codex CLI); Gemini 3 Pro on /v1/chat/completions.
GPT-5.4 and Gemini 3 Pro compared on current per-token rates, context window, and capabilities — both callable through one OpenAI-compatible endpoint with per-request cost traces.
GPT-5.4 vs Gemini 3 Pro: rates, context window, and capabilities
| Spec | GPT-5.4 | Gemini 3 Pro |
|---|---|---|
| Input / 1M tokens | $0.25 | $0.882 |
| Output / 1M tokens | $1.10 | $7.00 |
| Cached input / 1M tokens | $0.0625 | $0.882 |
| Context window | 1.05M | 1.05M |
| Capabilities | Chat, Streaming, Tool calling, Vision | Chat, Streaming, Tool calling, Vision |
| Detail page | GPT-5.4 | Gemini 3 Pro |
What does 1M tokens cost on GPT-5.4 vs Gemini 3 Pro?
For a workload of 1M input plus 1M output tokens at current rates: GPT-5.4 comes to $1.35, Gemini 3 Pro comes to $7.882 — GPT-5.4 is about 83% cheaper on this mix. Real workloads skew heavily toward input tokens, so weigh the input rate by your own ratio; the cached-input row above is the posted catalog rate for that model.
Switch between GPT-5.4 and Gemini 3 Pro without changing code
Both models are behind the same OpenAI-compatible endpoint, so an A/B test is a one-string change — same key, same code, and every request traced with tokens, cost, and latency in the dashboard:
curl https://api.router.one/v1/chat/completions \
-H "Authorization: Bearer sk-your-router-one-key" \
-H "Content-Type: application/json" \
-d '{"model": "openai/gpt-5.4", "messages": [{"role": "user", "content": "Hello"}]}'
# Same request, other model — change one string:
# "model": "google/gemini-3-pro-preview-11-2025"FAQ
Is GPT-5.4 cheaper than Gemini 3 Pro?
At current posted rates, GPT-5.4 is the cheaper of the two (input $0.25 vs $0.882, output $1.10 vs $7.00 per 1M tokens). Rates change; the /models page is the live source of truth.
Can I switch between GPT-5.4 and Gemini 3 Pro without changing code?
Yes. Both are served through the same OpenAI-compatible endpoint, so switching is changing the model string in the request — the key, base URL, and request shape stay identical.
Where do these numbers come from?
Specs and prices on this page render from the live Router One catalog — the same data as the /models page — and refresh with it. Pricing methodology is documented on /pricing-methodology. Rates on this page were read from the live catalog on 2026-08-30 (UTC) and refresh within the hour.