Which is cheaper, Gemma 3 27B or Grok-4.1 Fast Non-Reasoning?
As of August 25, 2026, Gemma 3 27B is 57% cheaper on blended LLM API pricing. Gemma 3 27B costs $0.10 per million input tokens and $0.20 per million output tokens ($0.30 blended 1M-in + 1M-out). Grok-4.1 Fast Non-Reasoning costs $0.20 / $0.50 per million tokens ($0.70 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://docs.x.ai/docs/models. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Gemma 3 27B vs Grok-4.1 Fast Non-Reasoning cost per million tokens?
Gemma 3 27B Gemini API pricing is $0.10 input and $0.20 output per million tokens via Google. Grok-4.1 Fast Non-Reasoning xAI API pricing is $0.20 input and $0.50 output per million tokens via xAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Gemma 3 27B or Grok-4.1 Fast Non-Reasoning?
Grok-4.1 Fast Non-Reasoning leads on LiveCodeBench: Gemma 3 27B at 29.7% vs Grok-4.1 Fast Non-Reasoning at 42.6%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
What is the context window for Gemma 3 27B vs Grok-4.1 Fast Non-Reasoning?
Gemma 3 27B supports a 131K token context window, while Grok-4.1 Fast Non-Reasoning supports 2M tokens. Grok-4.1 Fast Non-Reasoning 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 3 27B or Grok-4.1 Fast Non-Reasoning?
Grok-4.1 Fast Non-Reasoning leads on 5 of 5 shared benchmarks versus Gemma 3 27B'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 3 27B or Grok-4.1 Fast Non-Reasoning better for production use?
Both Gemma 3 27B and Grok-4.1 Fast Non-Reasoning are production API models. For cost-sensitive production traffic, Gemma 3 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 3 27B and Grok-4.1 Fast Non-Reasoning in my app?
Yes. Call Gemma 3 27B through Google and Grok-4.1 Fast Non-Reasoning through xAI 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 3 27B vs Grok-4.1 Fast Non-Reasoning pricing data?
List rates are the latest published Gemini API pricing and xAI API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://docs.x.ai/docs/models. 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 3 27B and Grok-4.1 Fast Non-Reasoning?
Gemma 3 27B supports up to 131K output tokens per request, while Grok-4.1 Fast Non-Reasoning supports up to 30K 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 3 27B or Grok-4.1 Fast Non-Reasoning?
Gemma 3 27B runs at approximately 33 tokens/second while Grok-4.1 Fast Non-Reasoning runs at 90 tokens/second. Grok-4.1 Fast Non-Reasoning 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 3 27B vs Grok-4.1 Fast Non-Reasoning comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemma 3 27B or Grok-4.1 Fast Non-Reasoning from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
