GPT-5 nano vs Grok 4.1 Fast

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

GPT-5 nano

OpenAI · Aug 2025

OpenAI's cheapest model — $0.05 per million input tokens — for latency-critical routing, autocomplete and bulk tagging.

Grok 4.1 Fast

xAI · Nov 2025

A 2M-token context window for $0.20 per million input tokens — the cheapest long-context frontier offering anywhere.

The verdict

These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GPT-5 nano is about 2.0x cheaper per blended million tokens (3:1 input:output mix). Grok 4.1 Fast also takes 2M of context versus 400K for GPT-5 nano.

Specs & pricing

GPT-5 nanoGrok 4.1 Fast
modhub Index
Input price / 1M$0.05$0.2
Output price / 1M$0.4$0.5
Context window400K2M
Max output128K
Open weightsnono
Reasoning modelyesyes
Multimodal inputtext, imagetext, image
Knowledge cutoffMay 2024Nov 2025
ReleasedAug 2025Nov 2025
Example monthly cost*$1.10$2.75

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, GPT-5 nano or Grok 4.1 Fast?
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GPT-5 nano is about 2.0x cheaper per blended million tokens (3:1 input:output mix). Grok 4.1 Fast also takes 2M of context versus 400K for GPT-5 nano.
Which is cheaper, GPT-5 nano or Grok 4.1 Fast?
GPT-5 nano costs $0.05/$0.4 per million input/output tokens, while Grok 4.1 Fast costs $0.2/$0.5. For a typical workload of 10M input and 1.5M output tokens per month, that's $1.10 versus $2.75.
Which model is better for coding, GPT-5 nano or Grok 4.1 Fast?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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