Which is cheaper, Claude Opus 5 or Nova Micro?
As of August 20, 2026, Nova Micro is 99% cheaper on blended LLM API pricing. Nova Micro costs $0.03 per million input tokens and $0.14 per million output tokens ($0.17 blended 1M-in + 1M-out). Claude Opus 5 costs $5.00 / $25.00 per million tokens ($30.00 blended). Sources: https://platform.claude.com/docs/en/about-claude/pricing and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Claude Opus 5 vs Nova Micro cost per million tokens?
Claude Opus 5 Claude API pricing from Anthropic is $5.00 input and $25.00 output per million tokens via Anthropic. Nova Micro Amazon API pricing is $0.03 input and $0.14 output per million tokens via Amazon. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Claude Opus 5 or Nova Micro?
Claude Opus 5 has a published SWE-bench Verified score of 96%. Nova Micro does not have that eval on this page yet.
What is the context window for Claude Opus 5 vs Nova Micro?
Claude Opus 5 supports a 1M token context window, while Nova Micro supports 128K tokens. Claude Opus 5 offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Claude Opus 5 or Nova Micro?
Shared benchmark scores for Claude Opus 5 and Nova Micro are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Claude Opus 5 or Nova Micro better for production use?
Both Claude Opus 5 and Nova Micro are production API models. For cost-sensitive production traffic, Nova Micro has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Claude Opus 5 and Nova Micro in my app?
Yes. Call Claude Opus 5 through Anthropic and Nova Micro through Amazon with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Claude Opus 5 vs Nova Micro pricing data?
List rates are the latest published Claude API pricing from Anthropic and Amazon API pricing, quoted per million tokens. Official rate sheets: https://platform.claude.com/docs/en/about-claude/pricing and https://anotherwrapper.com/tools/llm-pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Claude Opus 5 and Nova Micro?
Claude Opus 5 supports up to 128K output tokens per request, while Nova Micro supports up to 128K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Claude Opus 5 or Nova Micro?
Claude Opus 5 runs at approximately 3.437096666269855 tokens/second while Nova Micro runs at 100 tokens/second. Nova Micro is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Claude Opus 5 vs Nova Micro comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Claude Opus 5 or Nova Micro from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
