AI 모델 인텔리전스

Agentic Chat (Claude Opus 4.6)

gitlab/duo-chat-opus-4-6

제공: gitlab · 패밀리: claude-opus · 출시 2026-02-05 · 지식 컷오프: 2025-05-31

⚠ 이 모델은 커뮤니티 파인튜닝 / 파생본으로, 벤더 공식 릴리스가 아닙니다.

미공개
입력 / 1M 토큰
미공개
출력 / 1M 토큰
1M
컨텍스트 창
64K
최대 출력

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

기능

도구 호출추론? 구조화 출력첨부오픈 웨이트온도 제어
모달리티: 입력 text, image, pdf · 출력 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 efficiency0
  • Has published price0/100
Long context80
  • Context window (100K → 2M)80/90
  • Has published price for full window0/10
Vision81
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price0/10
  • Provider availability1/10
Production-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • 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.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

1곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
GitLab Duo
gitlab
duo-chat-opus-4-6UnknownUnknown1M2026-02-05

Frequently asked questions

How much does Agentic Chat (Claude Opus 4.6) cost?

Agentic Chat (Claude Opus 4.6) does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check gitlab's official pricing page for the most current rates.

What is the context window of Agentic Chat (Claude Opus 4.6)?

Agentic Chat (Claude Opus 4.6) has a context window of 1M tokens, with a max output of 64K tokens per reply. This is the total combined size of prompt + completion.

Does Agentic Chat (Claude Opus 4.6) support tool calling?

Yes. Agentic Chat (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 Agentic Chat (Claude Opus 4.6) support structured output / JSON mode?

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

Can Agentic Chat (Claude Opus 4.6) accept image input?

Yes. Agentic Chat (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 gitlab's docs for the exact rule.

Is Agentic Chat (Claude Opus 4.6) open-weight?

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

Where does this data come from?

All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

마지막 업데이트:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.