GPT-5 nano vs Grok 4.3

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 4.3

xAI · Apr 2026

xAI's frontier model: 1M context at $1.25/$2.50, ~168 tokens/sec, and a record low hallucination rate on independent testing.

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 11x cheaper per blended million tokens. Grok 4.3 also takes 1M of context versus 400K for GPT-5 nano.

Specs & pricing

GPT-5 nanoGrok 4.3
modhub Index
Input price / 1M$0.05$1.25
Output price / 1M$0.4$2.5
Context window400K1M
Max output128K
Open weightsnono
Reasoning modelyesyes
Multimodal inputtext, imagetext, image
Knowledge cutoffMay 2024Mar 2026
ReleasedAug 2025Apr 2026
Example monthly cost*$1.10$16.25

* 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 4.3?
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 11x cheaper per blended million tokens. Grok 4.3 also takes 1M of context versus 400K for GPT-5 nano.
Which is cheaper, GPT-5 nano or Grok 4.3?
GPT-5 nano costs $0.05/$0.4 per million input/output tokens, while Grok 4.3 costs $1.25/$2.5. For a typical workload of 10M input and 1.5M output tokens per month, that's $1.10 versus $16.25.
Which model is better for coding, GPT-5 nano or Grok 4.3?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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