Claude 4.8 Opus vs GPT-4o mini: pricing & cost comparison
On input tokens, GPT-4o mini is the cheaper of the two — 97% less per million ($5 vs $0.15). On output, GPT-4o mini is 98% cheaper ($25 vs $0.6) — and since output is usually the dominant cost driver, that gap matters more than it looks.
Side by side
| Claude 4.8 Opus | GPT-4o mini | |
|---|---|---|
| Input / 1M tokens | $5 | $0.15 |
| Output / 1M tokens | $25 | $0.6 |
| Context window | 1,000,000 | 128,000 |
| Token-count accuracy | ±2% | exact |
| Cost — 10,000 input + 2,000 output tokens | $0.1 | $0.0027 |
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-4o mini to $0.0027. Across 100,000 requests that's a $9730 swing in favour of GPT-4o mini. 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 37× the per-request cost of GPT-4o mini on the worked example — so they rarely compete for the same job. Reach for GPT-4o mini 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-4o mini.
FAQ
- Is Claude 4.8 Opus or GPT-4o mini cheaper?
- For a typical request (10,000 input + 2,000 output tokens), GPT-4o mini is cheaper — about 97% less, or roughly $9730 saved per 100,000 requests. Claude 4.8 Opus runs $5/$25 per 1M input/output tokens; GPT-4o mini runs $0.15/$0.6.
- Which has the larger context window?
- Claude 4.8 Opus, at 1,000,000 tokens versus 128,000.
- How accurate are these token counts?
- Claude 4.8 Opus: Approximated with cl100k_base — drift typically <2% on English and code. GPT-4o mini: 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.