Inteligência em modelos de IA

Claude Opus 4.6

databricks/databricks-claude-opus-4-6

Por databricks · família: claude-opus · lançado 2026-02-05 · data de conhecimento: 2025-05-31

⚠ Este é um fine-tune da comunidade ou derivado — não um lançamento oficial do fornecedor.

$5.00
Entrada / 1M tokens
$25.00
Saída / 1M tokens
1M
Janela de contexto
128K
Saída máxima

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

Capacidades

✓ Tool calling✓ Raciocínio? Saída estruturada✓ Anexos✗ Pesos abertos✓ Controle de temperatura
Modalidades: entrada text, image, pdf · saída 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.

Coding71
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents66
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency31
  • Headline price (log-scaled)26/95
  • Has prompt-cache pricing5/5
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
$37.50
$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
$75.00
< $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
$65.00
$0.07 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$75.00
$0.07 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Detalhes de preço

Preço recomendado de databricks · databricks-claude-opus-4-6

$5.00
Entrada
$25.00
Saída
$0.500
Leitura de cache
$6.25
Escrita de cache

Disponível em 1 provedores

ProvedorID do modelo do provedorEntrada / 1MSaída / 1MContextoLançado
Databricks
databricks
databricks-claude-opus-4-6$5.00$25.001M2026-02-05

Frequently asked questions

How much does Claude Opus 4.6 cost?

Claude Opus 4.6 costs $5.00 per 1M input tokens and $25.00 per 1M output tokens, sourced from databricks. 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 Opus 4.6?

Claude Opus 4.6 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 Opus 4.6 support tool calling?

Yes. Claude Opus 4.6 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 Opus 4.6 support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Claude Opus 4.6 in our data source. Verify with databricks's official documentation before relying on it in production.

Can Claude Opus 4.6 accept image input?

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

Is Claude Opus 4.6 open-weight?

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

What are the best alternatives to Claude Opus 4.6?

If Claude Opus 4.6 doesn't fit, consider GPT OSS 120B, GPT OSS 20B. 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

More databricks models

Capability lists this model is in

See also

Última atualização:

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.