Which is cheaper, Grok-4 Fast Non-Reasoning or o1-preview?
As of August 20, 2026, Grok-4 Fast Non-Reasoning is 99% cheaper on blended LLM API pricing. Grok-4 Fast Non-Reasoning costs $0.20 per million input tokens and $0.50 per million output tokens ($0.70 blended 1M-in + 1M-out). o1-preview costs $15.00 / $60.00 per million tokens ($75.00 blended). Sources: https://docs.x.ai/docs/models 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 Grok-4 Fast Non-Reasoning vs o1-preview cost per million tokens?
Grok-4 Fast Non-Reasoning xAI API pricing is $0.20 input and $0.50 output per million tokens via xAI. o1-preview OpenAI API pricing is $15.00 input and $60.00 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, Grok-4 Fast Non-Reasoning or o1-preview?
o1-preview has a published SWE-bench Verified score of 41.3%. Grok-4 Fast Non-Reasoning does not have that eval on this page yet.
What is the context window for Grok-4 Fast Non-Reasoning vs o1-preview?
Grok-4 Fast Non-Reasoning supports a 2M token context window, while o1-preview supports 128K tokens. Grok-4 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, Grok-4 Fast Non-Reasoning or o1-preview?
Grok-4 Fast Non-Reasoning leads on 2 of 3 shared benchmarks versus o1-preview's 1 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 Grok-4 Fast Non-Reasoning or o1-preview better for production use?
Both Grok-4 Fast Non-Reasoning and o1-preview are production API models. For cost-sensitive production traffic, Grok-4 Fast Non-Reasoning 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 Grok-4 Fast Non-Reasoning and o1-preview in my app?
Yes. Call Grok-4 Fast Non-Reasoning through xAI and o1-preview 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 Grok-4 Fast Non-Reasoning vs o1-preview pricing data?
List rates are the latest published xAI API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://docs.x.ai/docs/models 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 Grok-4 Fast Non-Reasoning and o1-preview?
Grok-4 Fast Non-Reasoning supports up to 30K output tokens per request, while o1-preview supports up to 33K 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, Grok-4 Fast Non-Reasoning or o1-preview?
Grok-4 Fast Non-Reasoning runs at approximately 90 tokens/second while o1-preview runs at 66 tokens/second. Grok-4 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 Grok-4 Fast Non-Reasoning vs o1-preview comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Grok-4 Fast Non-Reasoning or o1-preview from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
