Does Google Gemini API charge differently for long prompts?

Some Gemini models use tiered pricing for very long prompts, so check the provider page for the exact long-context rates on the model you use, since they can change the cost of document processing or long-context applications noticeably.

Is there a free tier for the Gemini API?

Yes, Google offers 1,500 requests per day free on Gemini 2.0 Flash and Gemini 2.0 Flash-Lite through their free tier, with rate limits of 15 RPM and 1 million TPM. This is suitable for prototyping and low-volume applications, but production workloads require paid plans with significantly higher rate limits and access to advanced models.

How does Gemini API pricing compare to OpenAI and Anthropic?

At the budget end, Gemini 2.5 Flash ($0.30/$2.50) costs more than GPT-4o mini ($0.15/$0.60) but far less than Claude Haiku 4.5 ($1.00/$5.00). At the top, Gemini 3.1 Pro ($2.00/$12.00) is cheaper than GPT-5.5 ($5.00/$30.00) and Claude Opus 4.8 ($5.00/$25.00), which makes Google especially competitive in the flagship tier.

What affects the final cost per Gemini API request?

Four factors determine your per-request cost: model choice (Flash vs Pro), total prompt plus completion tokens, whether your context exceeds 128k tokens triggering higher rates, and batch versus real-time processing which offers 50% discounts. A typical request with 10k input and 1k output tokens on Gemini 2.5 Flash costs approximately $0.001.

PROVIDER GUIDE · VERIFIED 13 JUL 2026

How much does the Google Gemini API cost?

Google Gemini API pricing ranges from $0.30 per million input tokens for Gemini 2.5 Flash to $2.00 per million for Gemini 3.1 Pro, with output tokens costing several times more than input. Pricing varies significantly based on model tier, prompt length under or over 128k tokens, and whether you use batch processing, making cost-per-request highly dependent on your specific use case and context window needs.

Gemini is the value play at every tier we track — but its real advantage shows up in context window size, not just the per-token rate.

Model	Input /1M	Output /1M	Context
Gemini 2.5 Flash	$0.30	$2.50	1M
Gemini 3 Flash	$0.50	$3.00	1M
Gemini 3.1 Pro	$2.00	$12.00	2M

The context window is the real story

Gemini 2.5 Flash and Gemini 3 Flash both ship with a 1M-token context window at budget and mid-tier prices — matching or beating the context window of models costing several times more from other providers. Gemini 3.1 Pro goes further still: a 2M-token window, the largest of any model we track, at a flagship price that undercuts both Claude Opus 4.8 and GPT-5.5. If your task genuinely needs to reason over a large document, codebase, or conversation history, Gemini's context headroom is often the deciding factor before price even enters the conversation.

Gemini 2.5 Flash vs 3 Flash — the upgrade is real, so is the cost jump

Moving from Gemini 2.5 Flash to Gemini 3 Flash is roughly a 3x input and 5x output price increase for what Google positions as a meaningful capability step up. If 2.5 Flash is already handling your task reliably, there's no need to pay for the upgrade. If you're seeing accuracy issues on 2.5 Flash before reaching for a different provider's mid-tier model, testing 3 Flash first is usually the cheaper experiment.

Gemini 3.1 Pro as the value flagship

At $2.00/$12.00, Gemini 3.1 Pro is priced below both Claude Opus 4.8 ($5.00/$25.00) and GPT-5.5 ($5.00/$30.00) while offering the largest context window of the three. The trade-off is that "flagship" positioning and actual task performance don't always move in lockstep across providers — worth running your own head-to-head on a representative task sample rather than choosing on price and context size alone.

How we'd actually pick

High-volume, simple tasks: Gemini 2.5 Flash — tied for cheapest across every provider we track.
Mid-tier work needing more headroom: Gemini 3 Flash — best value if 2.5 Flash isn't quite enough.
Large-context or budget-conscious flagship work: Gemini 3.1 Pro — the biggest context window at the lowest flagship price.

Prices verified against ai.google.dev/gemini-api/docs/pricing, 13 July 2026. See full methodology. Use the calculator to compare Gemini against every other tracked provider for your own usage.