GPT-5 nano vs Grok Code Fast 1
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 Code Fast 1
xAI · Aug 2025
A speed-first coding model built for agentic IDE loops, popular as a cheap fast tier in Cursor and similar tools.
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. On price the gap is dramatic: GPT-5 nano works out roughly 3.8x cheaper per blended million tokens. GPT-5 nano also takes 400K of context versus 256K for Grok Code Fast 1.
Specs & pricing
| GPT-5 nano | Grok Code Fast 1 | |
|---|---|---|
| modhub Index | — | — |
| Input price / 1M | $0.05 | $0.2 |
| Output price / 1M | $0.4 | $1.5 |
| Context window | 400K | 256K |
| Max output | 128K | — |
| Open weights | no | no |
| Reasoning model | yes | yes |
| Multimodal input | text, image | text |
| Knowledge cutoff | May 2024 | Aug 2025 |
| Released | Aug 2025 | Aug 2025 |
| Example monthly cost* | $1.10 | $4.25 |
* 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 Code Fast 1?
- These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: GPT-5 nano works out roughly 3.8x cheaper per blended million tokens. GPT-5 nano also takes 400K of context versus 256K for Grok Code Fast 1.
- Which is cheaper, GPT-5 nano or Grok Code Fast 1?
- GPT-5 nano costs $0.05/$0.4 per million input/output tokens, while Grok Code Fast 1 costs $0.2/$1.5. For a typical workload of 10M input and 1.5M output tokens per month, that's $1.10 versus $4.25.
- Which model is better for coding, GPT-5 nano or Grok Code Fast 1?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.