Gemini 3 Pricing Breakdown
Gemini 3 is Google’s frontier model, and its standout feature is the 2 million token context window — the largest in the industry. At $7/1M input and $21/1M output, it undercuts both GPT-5.4 and Claude Opus while offering competitive benchmarks.
The Context Window Advantage
That 2M context window isn’t just a spec sheet number — it fundamentally changes what’s possible. You can feed entire codebases, full books, or hours of meeting transcripts in a single request. The catch? Filling 2M tokens of context costs $14.00 per request in input alone. That adds up fast if you’re making repeated calls.
For most practical use cases, you won’t use anywhere near 2M tokens. But having the headroom means you don’t have to build complex chunking and retrieval pipelines for moderately large documents. Sometimes the simpler architecture saves more in engineering time than you’d spend on tokens.
Pricing in Context
Gemini 3 sits in an interesting position. Here’s how it stacks up:
- 30% cheaper than GPT-5.4 for input ($7 vs $10/1M), and 30% cheaper for output ($21 vs $30/1M)
- More than 50% cheaper than Claude Opus for input ($7 vs $15/1M) and 72% cheaper for output ($21 vs $75/1M)
- 2x the cost of Gemini 2.5 Pro ($7/$21 vs $3.50/$10.50), which is still very capable
The 3:1 output-to-input ratio matches GPT-5.4 and is much friendlier than Opus’s 5:1 ratio.
Google’s Pricing Ecosystem
Google offers a few cost-saving options worth knowing about:
- Context caching — cache your long context and reuse it across requests at reduced rates. Especially valuable given the huge context window.
- Grounding with Google Search — billed separately, but can reduce hallucination and the need for retries.
- Batch predictions — available on Vertex AI for non-real-time workloads at discounted rates.
If you’re already in the Google Cloud ecosystem, Vertex AI committed use discounts can bring costs down further. Enter your expected usage in the calculator above to see exactly what Gemini 3 will cost compared to every other provider.