As of August 30, 2026, Gemma 4 E2B API pricing is $0.02 per million input tokens and $0.04 per million output tokens. A typical 100K-in / 20K-out request costs $0.003. Source: https://ai.google.dev/gemini-api/docs/pricing
Blended / 1M
$0.06
Input
$0.02
Output
$0.04
100K / 20K
$0.003
Specs
131.1K
Apr 2, 2026
Jan 1, 2025
Open source
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GPQA against blended input+output $/M. Log price. Gemma 4 E2B is the green point.
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As of August 30, 2026, Gemma 4 E2B Gemini API pricing is $0.02 per million input tokens and $0.04 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://ai.google.dev/gemini-api/docs/pricing
On this page the blended Gemma 4 E2B API cost is $0.06 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $0.10.
A typical Gemma 4 E2B API request with 100K input tokens and 20K output tokens costs about $0.003 at current rates as of August 30, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Google can bring the real invoice lower than the public list rate at https://ai.google.dev/gemini-api/docs/pricing.
Gemma 4 E2B supports a 131K token context window. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. Gemma 4 E2B is an open-weight model by Google. You can download the weights and self-host, or pay Google's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
Gemma 4 E2B currently reports GPQA 43.4%, LiveCodeBench v6 44%, MMMU-Pro 44.2%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Gemma 4 E2B has a published knowledge cutoff of 2025-01-01. Facts after that date are not guaranteed to be in the weights. For current events you still need retrieval or tools, which adds input tokens and therefore API cost per million tokens.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Gemma 4 E2B vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Gemma 4 E2B. Open-weight models can be cheaper still if you self-host, but that is not the same as Gemini API pricing on this page.
Gemma 4 E2B is called through Google's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Google and 5+ other providers with auth, payments, and deployment already configured.
This Gemma 4 E2B page tracks the latest published Gemini API pricing from Google, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://ai.google.dev/gemini-api/docs/pricing. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Gemma 4 E2B is a open-source model from Google. Current API pricing is $0.02 per million input tokens and $0.04 per million output tokens, with a 131.1K token context window. A blended 1M-in / 1M-out workload costs $0.06.
Source: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
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