Claude Opus 4.1 vs GPT-5 nano
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Claude Opus 4.1
Anthropic · Aug 2025
The last $15/$75-priced Opus — a 2025 flagship now thoroughly superseded by cheaper, stronger successors.
GPT-5 nano
OpenAI · Aug 2025
OpenAI's cheapest model — $0.05 per million input tokens — for latency-critical routing, autocomplete and bulk tagging.
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 218x cheaper per blended million tokens. GPT-5 nano also takes 400K of context versus 200K for Claude Opus 4.1.
Specs & pricing
| Claude Opus 4.1 | GPT-5 nano | |
|---|---|---|
| modhub Index | — | — |
| Input price / 1M | $15 | $0.05 |
| Output price / 1M | $75 | $0.4 |
| Context window | 200K | 400K |
| Max output | 32K | 128K |
| Open weights | no | no |
| Reasoning model | yes | yes |
| Multimodal input | text, image | text, image |
| Knowledge cutoff | Mar 2025 | May 2024 |
| Released | Aug 2025 | Aug 2025 |
| Example monthly cost* | $262.50 | $1.10 |
* 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, Claude Opus 4.1 or GPT-5 nano?
- 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 218x cheaper per blended million tokens. GPT-5 nano also takes 400K of context versus 200K for Claude Opus 4.1.
- Which is cheaper, Claude Opus 4.1 or GPT-5 nano?
- Claude Opus 4.1 costs $15/$75 per million input/output tokens, while GPT-5 nano costs $0.05/$0.4. For a typical workload of 10M input and 1.5M output tokens per month, that's $262.50 versus $1.10.
- Which model is better for coding, Claude Opus 4.1 or GPT-5 nano?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.