ذكاء نماذج الذكاء الاصطناعي

Claude 4.6 Opus Thinking

nano-gpt/claude-opus-4-6-thinking

من nano-gpt · العائلة: claude-opus · أُصدِر 2026-02-05

⚠ هذا نموذج مُحسَّن من المجتمع أو مشتق — وليس إصدارًا رسميًا من المزود.

$5.00
الإدخال / 1M رمز
$25.01
الإخراج / 1M رمز
1M
نافذة السياق
128K
أقصى إخراج

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

القدرات

✓ استدعاء الأدوات✓ تفكير✓ إخراج منظم✓ المرفقات✗ أوزان مفتوحة? التحكم بالحرارة
الوسائط المدعومة: إدخال text, image, pdf · إخراج text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding91
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents91
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output70
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency26
  • Headline price (log-scaled)26/95
  • Has prompt-cache pricing0/5
Long context90
  • Context window (100K → 2M)80/90
  • Has published price for full window10/10
Vision91
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability1/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$37.49
$0.04 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$74.99
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$22.50
$0.02 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$64.99
$0.06 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$74.98
$0.07 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

تفاصيل التسعير

السعر المُوصى به من nano-gpt · anthropic/claude-opus-4.6:thinking

$5.00
إدخال
$25.01
إخراج

متاح لدى 1 مزود

المزودمعرف نموذج المزودإدخال / 1Mإخراج / 1Mالسياقتاريخ الإصدار
NanoGPT
nano-gpt
anthropic/claude-opus-4.6:thinking$5.00$25.011M2026-02-05

Frequently asked questions

How much does Claude 4.6 Opus Thinking cost?

Claude 4.6 Opus Thinking costs $5.00 per 1M input tokens and $25.01 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Claude 4.6 Opus Thinking?

Claude 4.6 Opus Thinking has a context window of 1M tokens, with a max output of 128K tokens per reply. This is the total combined size of prompt + completion.

Does Claude 4.6 Opus Thinking support tool calling?

Yes. Claude 4.6 Opus Thinking supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Claude 4.6 Opus Thinking support structured output / JSON mode?

Yes. Claude 4.6 Opus Thinking supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Claude 4.6 Opus Thinking accept image input?

Yes. Claude 4.6 Opus Thinking accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check nano-gpt's docs for the exact rule.

Is Claude 4.6 Opus Thinking open-weight?

No. Claude 4.6 Opus Thinking is a proprietary model — only nano-gpt (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Claude 4.6 Opus Thinking?

If Claude 4.6 Opus Thinking doesn't fit, consider Brave (Answers), Exa (Research), Auto model (Basic). Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

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Capability lists this model is in

See also

آخر تحديث:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.