As of August 30, 2026, Gemma 4 E2B is 100% cheaper per million tokens than o3-pro. Gemma 4 E2B is $0.02 / $0.04 per million input/output tokens versus o3-pro at $20.00 / $80.00. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://developers.openai.com/api/docs/pricing
Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); OpenAI API pricing (https://developers.openai.com/api/docs/pricing)
Gemma 4 E2B
Input
$0.02
Output
$0.04
o3-pro
OpenAI
Input
$20.00
Output
$80.00
Token pricing, specs, and benchmarks side by side
Gemma 4 E2Bo3-proVerdict
Both models are closely matched on benchmarks. Gemma 4 E2B has the pricing advantage, making it the better value unless o3-pro's specific capabilities are critical to your workflow.
As of August 30, 2026, Gemma 4 E2B is 100% cheaper on blended LLM API pricing. Gemma 4 E2B costs $0.02 per million input tokens and $0.04 per million output tokens ($0.06 blended 1M-in + 1M-out). o3-pro costs $20.00 / $80.00 per million tokens ($100.00 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
Gemma 4 E2B Gemini API pricing is $0.02 input and $0.04 output per million tokens via Google. o3-pro OpenAI API pricing is $20.00 input and $80.00 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Neither Gemma 4 E2B nor o3-pro has a published SWE-bench or LiveCodeBench score on this page yet. Use the comparison table for the evals that do exist.
Gemma 4 E2B supports a 131K token context window, while o3-pro supports 200K tokens. o3-pro offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Shared benchmark scores for Gemma 4 E2B and o3-pro are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both Gemma 4 E2B and o3-pro are production API models. For cost-sensitive production traffic, Gemma 4 E2B has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call Gemma 4 E2B through Google and o3-pro through OpenAI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published Gemini API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://developers.openai.com/api/docs/pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
Gemma 4 E2B supports up to an unspecified number of output tokens per request, while o3-pro supports up to 100K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
o3-pro has a measured throughput of approximately 25 tokens/second. Throughput data for Gemma 4 E2B is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemma 4 E2B or o3-pro from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Gemma 4 E2B costs $0.02/M input and $0.04/M output. o3-pro costs $20.00/M input and $80.00/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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