Gemini 2.5 Pro vs GPT-5: pricing & cost comparison
Both models charge $1.25 per million input tokens. Both charge $10 per million output tokens.
Side by side
| Gemini 2.5 Pro | GPT-5 | |
|---|---|---|
| Input / 1M tokens | $1.25 | $1.25 |
| Output / 1M tokens | $10 | $10 |
| Context window | 1,000,000 | 400,000 |
| Token-count accuracy | ±3% | exact |
| Cost — 10,000 input + 2,000 output tokens | $0.0325 | $0.0325 |
What a real request costs
Take a representative turn — 10,000 input + 2,000 output tokens. Gemini 2.5 Pro comes to $0.0325, GPT-5 to $0.0325. They're identical on this workload, so pick on quality, context window, or tokenizer accuracy rather than price. Paste your prompt into the calculator to confirm against your real text.
Close call — decide on output cost
Gemini 2.5 Pro and GPT-5 are close enough on price that the tie-breakers matter more than the headline rate. Output tokens are usually the dominant cost driver, so weigh $10 vs $10 per 1M output first, then context window — Gemini 2.5 Pro carries the larger one at 1,000,000 tokens. They're different vendors, so factor in a small tokenizer calibration buffer on whichever side isn't exact.
See the full breakdown on the dedicated pages for Gemini 2.5 Pro and GPT-5.
FAQ
- Is Gemini 2.5 Pro or GPT-5 cheaper?
- Gemini 2.5 Pro and GPT-5 cost the same on this workload ($1.25/$10 per 1M tokens).
- Which has the larger context window?
- Gemini 2.5 Pro, at 1,000,000 tokens versus 400,000.
- How accurate are these token counts?
- Gemini 2.5 Pro: Approximated with o200k_base; drift typically ~3% on English and code. GPT-5: Exact tokenization via the canonical OpenAI vocab (o200k_base). The dollar math itself is exact once the token count is known.
Both prices are computed from tokenmath's verified pricing table. Rates sourced from ai.google.dev and openai.com, verified 2026-05-09. Vendor pricing changes often — confirm before you commit.