Is Claude 4.8 Opus or GPT-5 Nano cheaper?

For a typical request (10,000 input + 2,000 output tokens), GPT-5 Nano is cheaper — about 99% less, or roughly $9870 saved per 100,000 requests. Claude 4.8 Opus runs $5/$25 per 1M input/output tokens; GPT-5 Nano runs $0.05/$0.4.

Which has the larger context window?

Claude 4.8 Opus, at 1,000,000 tokens versus 400,000.

How accurate are these token counts?

Claude 4.8 Opus: Approximated with cl100k_base — drift typically <2% on English and code. GPT-5 Nano: Exact tokenization via the canonical OpenAI vocab (o200k_base). The dollar math itself is exact once the token count is known.

Claude 4.8 Opus vs GPT-5 Nano: pricing & cost comparison

On input tokens, GPT-5 Nano is the cheaper of the two — 99% less per million ($5 vs $0.05). On output, GPT-5 Nano is 98% cheaper ($25 vs $0.4) — and since output is usually the dominant cost driver, that gap matters more than it looks.

Side by side

	Claude 4.8 Opus	GPT-5 Nano
Input / 1M tokens	$5	$0.05
Output / 1M tokens	$25	$0.4
Context window	1,000,000	400,000
Token-count accuracy	±2%	exact
Cost — 10,000 input + 2,000 output tokens	$0.1	$0.0013

What a real request costs

Take a representative turn — 10,000 input + 2,000 output tokens. Claude 4.8 Opus comes to $0.1, GPT-5 Nano to $0.0013. Across 100,000 requests that's a $9870 swing in favour of GPT-5 Nano. To run the numbers on your actual prompt, paste it into the calculator and toggle Compare across all models.

Different leagues

These two sit in different price tiers — Claude 4.8 Opus runs roughly 77× the per-request cost of GPT-5 Nano on the worked example — so they rarely compete for the same job. Reach for GPT-5 Nano on high-volume, latency-sensitive work (classification, extraction, routing) and Claude 4.8 Opus only where the harder reasoning earns its price. They're different vendors, so expect a different API and tokenizer: the OpenAI side counts exactly; the other lands within a few percent — budget a small calibration buffer when you switch.

See the full breakdown on the dedicated pages for Claude 4.8 Opus and GPT-5 Nano.

FAQ

Is Claude 4.8 Opus or GPT-5 Nano cheaper?: For a typical request (10,000 input + 2,000 output tokens), GPT-5 Nano is cheaper — about 99% less, or roughly $9870 saved per 100,000 requests. Claude 4.8 Opus runs $5/$25 per 1M input/output tokens; GPT-5 Nano runs $0.05/$0.4.
Which has the larger context window?: Claude 4.8 Opus, at 1,000,000 tokens versus 400,000.
How accurate are these token counts?: Claude 4.8 Opus: Approximated with cl100k_base — drift typically <2% on English and code. GPT-5 Nano: Exact tokenization via the canonical OpenAI vocab (o200k_base). The dollar math itself is exact once the token count is known.

Both prices are computed from tokenmath's verified pricing table. Rates sourced from platform.claude.com and openai.com, verified 2026-07-06. Vendor pricing changes often — confirm before you commit.