Which is cheaper, Gemma 3n E4B Instructed or GPT-5.1 Codex High?
As of August 25, 2026, GPT-5.1 Codex High is 81% cheaper on blended LLM API pricing. GPT-5.1 Codex High costs $1.25 per million input tokens and $10.00 per million output tokens ($11.25 blended 1M-in + 1M-out). Gemma 3n E4B Instructed costs $20.00 / $40.00 per million tokens ($60.00 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.
How much does Gemma 3n E4B Instructed vs GPT-5.1 Codex High cost per million tokens?
Gemma 3n E4B Instructed Gemini API pricing is $20.00 input and $40.00 output per million tokens via Google. GPT-5.1 Codex High OpenAI API pricing is $1.25 input and $10.00 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Gemma 3n E4B Instructed or GPT-5.1 Codex High?
Gemma 3n E4B Instructed has a published LiveCodeBench score of 13.2%. GPT-5.1 Codex High does not have that eval on this page yet.
What is the context window for Gemma 3n E4B Instructed vs GPT-5.1 Codex High?
Gemma 3n E4B Instructed supports a 32K token context window, while GPT-5.1 Codex High supports 400K tokens. GPT-5.1 Codex High 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.
Which model performs better on benchmarks, Gemma 3n E4B Instructed or GPT-5.1 Codex High?
GPT-5.1 Codex High leads on 1 of 1 shared benchmarks versus Gemma 3n E4B Instructed's 0 wins. 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.
Is Gemma 3n E4B Instructed or GPT-5.1 Codex High better for production use?
Both Gemma 3n E4B Instructed and GPT-5.1 Codex High are production API models. For cost-sensitive production traffic, GPT-5.1 Codex High 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.
Can I switch between Gemma 3n E4B Instructed and GPT-5.1 Codex High in my app?
Yes. Call Gemma 3n E4B Instructed through Google and GPT-5.1 Codex High 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.
How accurate is this Gemma 3n E4B Instructed vs GPT-5.1 Codex High pricing data?
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.
What is the output token limit for Gemma 3n E4B Instructed and GPT-5.1 Codex High?
Gemma 3n E4B Instructed supports up to 32K output tokens per request, while GPT-5.1 Codex High supports up to 128K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Gemma 3n E4B Instructed or GPT-5.1 Codex High?
Gemma 3n E4B Instructed runs at approximately 42.1 tokens/second while GPT-5.1 Codex High runs at 50 tokens/second. GPT-5.1 Codex High is faster in raw throughput. 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.
How do I switch the models in this Gemma 3n E4B Instructed vs GPT-5.1 Codex High comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemma 3n E4B Instructed or GPT-5.1 Codex High from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
