Which is cheaper, Gemma 2 27B or GPT-5 Codex?
As of August 20, 2026, Gemma 2 27B is 88% cheaper on blended LLM API pricing. Gemma 2 27B costs $0.65 per million input tokens and $0.65 per million output tokens ($1.30 blended 1M-in + 1M-out). GPT-5 Codex costs $1.25 / $10.00 per million tokens ($11.25 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 2 27B vs GPT-5 Codex cost per million tokens?
Gemma 2 27B Gemini API pricing is $0.65 input and $0.65 output per million tokens via OpenRouter. GPT-5 Codex 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 2 27B or GPT-5 Codex?
GPT-5 Codex has a published SWE-bench Verified score of 74.5%. Gemma 2 27B does not have that eval on this page yet.
What is the context window for Gemma 2 27B vs GPT-5 Codex?
Gemma 2 27B supports a 8K token context window, while GPT-5 Codex supports 400K tokens. GPT-5 Codex 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 2 27B or GPT-5 Codex?
Shared benchmark scores for Gemma 2 27B and GPT-5 Codex 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.
Is Gemma 2 27B or GPT-5 Codex better for production use?
Both Gemma 2 27B and GPT-5 Codex are production API models. For cost-sensitive production traffic, Gemma 2 27B 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 2 27B and GPT-5 Codex in my app?
Yes. Call Gemma 2 27B through OpenRouter and GPT-5 Codex 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 2 27B vs GPT-5 Codex 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 2 27B and GPT-5 Codex?
Gemma 2 27B supports up to an unspecified number of output tokens per request, while GPT-5 Codex supports up to an unspecified number of 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 2 27B or GPT-5 Codex?
Neither Gemma 2 27B nor GPT-5 Codex has published throughput data on this page yet. 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 2 27B vs GPT-5 Codex comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemma 2 27B or GPT-5 Codex from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
