Claude Opus 4.7 Review: The First Opus with 1M Context at $8/1M

Verdict — Claude Opus 4.7 is the best reasoning model we have tested under $10/1M input. Its 1M-token context window (5× larger than Opus 4.5's 200K), combined with the overhead-efficient billing we measured (~130 tokens per call, vs. 2000+ on Opus 4.5 backports), makes it the clear default for whole-codebase analysis, long-document review, and multi-step agentic work. NovAI lists it at $8 input / $40 output per 1M tokens — roughly half the retail price of Anthropic direct.

What actually shipped in Opus 4.7

Anthropic's release notes for 4.7 were terse. Here is what is observable from API behavior:

• Context ceiling raised to 1,000,000 tokens. Confirmed by sending a 750K-token document and receiving coherent answers about page 1 and page 1800 simultaneously.
• Tool-call JSON reliability improved. In our 200-call tool-calling stress test, 4.7 produced valid JSON 99.5% of the time; 4.6 was 97.2%.
• Thinking mode is opt-in. The base claude-opus-4-7 endpoint responds fast. A separate claude-opus-4-7-thinking endpoint exposes deeper reasoning at 4× the price.
• Prompt caching supported. We observed cached_tokens in response usage — cached prefix reads bill at ~10% of input rate, consistent with Anthropic's published caching model.

Benchmark: six real tasks

We ran claude-opus-4-7, claude-sonnet-4-6, and claude-haiku-4-5 through six representative scenarios and scored blind against a reference answer.

All three Claude models passed all six tasks. The quality delta between Opus 4.7 and Sonnet 4.6 is visible only on the code and rebuttal tasks — Opus chose functools.lru_cache (more idiomatic) and produced slightly more persuasive engineering prose. For classification, extraction, and routing, Haiku 4.5 is the correct choice at 16× lower cost.

When to pick Opus 4.7 over Sonnet 4.6

Rule of thumb based on our production usage:

• Use Opus 4.7 when any of these are true: context exceeds 200K, you need agentic multi-step planning, you need the most defensible code review, or you are willing to pay 4× for the top 5% of quality.
• Use Sonnet 4.6 for most production workloads: chat, RAG, structured extraction, standard coding assistance. 4× cheaper, 80% of Opus quality.
• Use Haiku 4.5 for agent routing, intent classification, tool selection, high-volume summarization. 16× cheaper than Opus.

Pricing — all-in cost for a real agent task

Let's price a realistic agent loop: load a 60K-token codebase, generate a 1K-token diff. With Opus 4.7:

Same task on Anthropic direct with their $15/$75 Opus pricing: $0.975. On OpenRouter's Opus listing: $1.028 (includes 5.5% topup surcharge).

Quickstart

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_NOVAI_KEY",
    base_url="https://aiapi-pro.com/v1",
)

# Stream a 60K-token codebase review in one call
resp = client.chat.completions.create(
    model="claude-opus-4-7",
    messages=[
        {"role": "system", "content": "You are a senior code reviewer."},
        {"role": "user", "content": codebase_dump + "\n\nReview for bugs."},
    ],
    stream=True,
)
for chunk in resp:
    print(chunk.choices[0].delta.content or "", end="", flush=True)

How we validated quality before launching

Before adding Opus 4.7 to the NovAI catalog we ran it through our four-wave validation pipeline. We wrote that story up separately: We Found Claude at 65% Off in China — And Proved It Actually Works. If you are evaluating Claude via any non-Anthropic-direct provider, that piece is worth reading first.

Further reading

• Claude vs GPT-5 vs DeepSeek-V4: 2026 Benchmark
• Anthropic SDK → OpenAI SDK Migration in 3 Lines
• DeepSeek vs Claude: When to Pick Which