Claude Opus 4.6 vs GPT-5 nano
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Claude Opus 4.6
Anthropic · Jan 2026
The first Opus with a 1M-token context window at standard pricing, kicking off Anthropic's rapid 2026 release cadence.
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 73x cheaper per blended million tokens. Claude Opus 4.6 also takes 1M of context versus 400K for GPT-5 nano.
Specs & pricing
| Claude Opus 4.6 | GPT-5 nano | |
|---|---|---|
| modhub Index | — | — |
| Input price / 1M | $5 | $0.05 |
| Output price / 1M | $25 | $0.4 |
| Context window | 1M | 400K |
| Max output | 64K | 128K |
| Open weights | no | no |
| Reasoning model | yes | yes |
| Multimodal input | text, image | text, image |
| Knowledge cutoff | Aug 2025 | May 2024 |
| Released | Jan 2026 | Aug 2025 |
| Example monthly cost* | $87.50 | $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 4.6 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 73x cheaper per blended million tokens. Claude Opus 4.6 also takes 1M of context versus 400K for GPT-5 nano.
- Which is cheaper, Claude Opus 4.6 or GPT-5 nano?
- Claude Opus 4.6 costs $5/$25 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 $87.50 versus $1.10.
- Which model is better for coding, Claude Opus 4.6 or GPT-5 nano?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.