Live pricing — last refreshed Aug 27, 2026

Google: Gemini 2.5 Pro (batch) vs OpenAI: GPT-5.4 Pro (batch)

Head-to-head API pricing and cost comparison between Google’s Google: Gemini 2.5 Pro (batch) and OpenAI’s OpenAI: GPT-5.4 Pro (batch). Prices auto-refresh daily from OpenRouter.

Verdict

Google: Gemini 2.5 Pro (batch) is 96% cheaper for input tokens; Google: Gemini 2.5 Pro (batch) also wins on output tokens.

Side-by-side comparison

SpecGoogle: Gemini 2.5 Pro (batch)OpenAI: GPT-5.4 Pro (batch)
Input price (per 1M)$0.63$15.00
Cached input (per 1M)$0.13
Output price (per 1M)$5.00$90.00
Batch input (per 1M)$7.50
Batch output (per 1M)$45.00
Reasoning price (per 1M)$5.00
Context window1049K1050K
Vision supportYesYes
Caching supportYesNo
Batch APINoYes
Reasoning capabilityYesNo

Monthly cost at volume

Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).

VolumeGoogle: Gemini 2.5 Pro (batch)OpenAI: GPT-5.4 Pro (batch)Savings
1K req/day
500in / 200out tokens
$39.38$765.00$725.63
Google: Gemini 2.5 Pro (batch) wins
10K req/day
1500in / 500out tokens
$1,031$20,250$19,219
Google: Gemini 2.5 Pro (batch) wins
100K req/day
3000in / 800out tokens
$17,625$351,000$333,375
Google: Gemini 2.5 Pro (batch) wins
1M req/day
8000in / 2000out tokens
$450,000$9,000,000$8,550,000
Google: Gemini 2.5 Pro (batch) wins
Open in interactive calculator →

Adjust input/output token counts, request volume, batch & cached pricing.

Related comparisons

Frequently asked questions

Which is cheaper, Google: Gemini 2.5 Pro (batch) or OpenAI: GPT-5.4 Pro (batch)?

For input tokens, Google: Gemini 2.5 Pro (batch) is roughly 96% cheaper at $0.63/1M vs $15.00/1M. For output tokens, Google: Gemini 2.5 Pro (batch) wins at $5.00/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.

What’s the context window difference?

Google: Gemini 2.5 Pro (batch) has a context window of 1049K tokens. OpenAI: GPT-5.4 Pro (batch) offers 1050K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.

Should I use Google: Gemini 2.5 Pro (batch) or OpenAI: GPT-5.4 Pro (batch)?

Choose Google: Gemini 2.5 Pro (batch) if you’re already on the Google stack, want reasoning capabilities, or prefer its lower input price. Choose OpenAI: GPT-5.4 Pro (batch) for OpenAI’s ecosystem, native vision input, or its differentiated capabilities. Run a small benchmark on your own prompts before committing — price is only one axis.

How are these prices kept current?

Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: Aug 27, 2026.