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Claude Opus 4.6

Input:$4/M
Output:$20/M
Claude Opus 4.6 is Anthropic’s “Opus”-class large language model, released February 2026. It is positioned as a workhorse for knowledge-work and research workflows — improving long-context reasoning, multi-step planning, tool use (including agentic software workflows), and computer-use tasks such as automated slide and spreadsheet generation.
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Overview
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API
Versions
ItemClaude Opus 4.6 (public specs)
Model familyClaude Opus (Opus 4.6)
Model idclaude-opus-4-6
ProviderAnthropic
Input typesText, structured files (documents, spreadsheets), vision inputs (images/screenshots) — via Messages API and Files API
Output typesText (long-form, code, structured outputs), streamed messages; supports document and structured outputs
Context window1,000,000 tokens (beta); compaction available to extend effective context
Max output tokens128,000
Effort / reasoning controlslow, medium, high (default), max; plus adaptive thinking to let the model pick extended reasoning when useful
Long-context featuresContext compaction (beta) with header compact-2026-01-12; streaming recommended for large outputs

What is Claude Opus 4.6

Claude Opus 4.6 is Anthropic’s most capable Opus-class model (released Feb 5, 2026), tuned for complex, long-horizon knowledge-work and agentic coding workflows. It emphasizes reliable planning, sustained multi-step execution, and robustness on large codebases and enterprise tasks such as financial analysis, legal reasoning, and multi-document research.

Main features of Claude Opus 4.6

  • Ultra-long context (beta): Support for a 1,000,000-token context window (beta) and server-side context compaction to summarize and preserve long-running conversational state.
  • Very large outputs: Up to 128k output tokens, enabling single-request generation of large documents, reports, or multi-file code patches.
  • Agentic workflows & agent teams: Research-preview support in Claude Code for spinning up multiple agents that coordinate in parallel for review, testing, and multi-step engineering tasks.
  • Effort & adaptive thinking controls: Four effort levels (low/medium/high/max) and adaptive thinking that lets the model selectively apply extended reasoning when appropriate.
  • Improved coding and tool use: Upgrades for code review, debugging, terminal-style agent workflows, and integrations with office tools (Claude in Excel / PowerPoint).
  • Context compaction & long-run tooling: Server-side compaction strategy and SDK support (streaming) to manage long-running agents without manual state pruning.

Benchmark performance of Claude Opus 4.6

Anthropic reports leading performance on multiple evaluations: highest scores on Terminal-Bench 2.0 (agentic coding), top industry result on DeepSearchQA, a 144 Elo advantage over OpenAI’s GPT-5.2 on GDPval-AA, and a BigLaw Bench score of 90.2% (per Anthropic’s release and system card). See official system card and release notes for methodology and caveats.

Benchmark / taskOpus 4.6 reported result (Anthropic)
Terminal-Bench 2.0 (coding)65.4% (industry-leading per Anthropic).
OSWorld (computer-using tasks)72.7% (Anthropic’s best computer-using model).
GDPVal / Elo (adaptive thinking, partner benchmarks)Anthropic / partner prelaunch results report high Elo relative to other frontier models (vendor materials show Opus 4.6 leading on several agentic and coding benchmarks). Independent press summaries note Opus 4.6 outperforming GPT-5.2 on specific professional evaluations.

Note: Benchmarks and reported comparisons are Anthropic’s published results from the Feb 5, 2026 announcement and system card; users should consult the system card for test methodology and dataset details.

Claude Opus 4.6 vs Opus 4.5 vs GPT-5.2 (comparative snapshot)

ModelStrengthsNotes
Claude Opus 4.6Best-in-class long-horizon reasoning, agentic coding, 1M-token beta, 128k outputsAnthropic reports gains over Opus 4.5 and OpenAI GPT-5.2 on GDPval-AA and Terminal-Bench.
Claude Opus 4.5Strong coding and agentic capabilities (previous baseline)4.6 improves planning and long-run stability.
OpenAI GPT-5.2 (reference)Strong multimodal reasoning and broad deploymentAnthropic cites a ~144 Elo gap (GDPval-AA) in favor of Opus 4.6; comparisons vary by task and benchmark.

Representative enterprise use cases

  1. Repository-scale code refactors, multi-file migrations, and automated patch generation.
  2. Long-running agentic workflows: automated research, multi-document synthesis, and CI orchestration.
  3. Financial analysis and legal research that require multi-source cross-checking and structured outputs.
  4. Document → slide workflows: ingest large spreadsheets, synthesize findings, and generate brand-consistent PowerPoint decks.
  5. Defensive security workflows: triage and reproduce vulnerabilities under controlled, audited conditions.

How to access and use Claude Opus 4.6 API

Step 1: Sign Up for API Key

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

Step 2: Send Requests to claude-opus-4-6 API

Select the “claude-opus-4-6” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace <YOUR_API_KEY> with your actual CometAPI key from your account. Where to call it:  Anthropic Messages format and Chat format.

Insert your question or request into the content field—this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

FAQ

What distinguishes Claude Opus 4.6’s reasoning approach from earlier Claude models?

Claude Opus 4.6 introduces adaptive thinking across multiple effort levels, allowing it to dynamically balance depth and speed of reasoning, improving performance on complex, multi-step problems compared with prior extended thinking modes. :contentReference[oaicite:1]{index=1}

What is the maximum output length and do I need to use streaming?

Opus 4.6 supports up to 128,000 output tokens; SDKs and the platform recommend streaming (e.g., .stream() / streaming messages) for large max_tokens to avoid HTTP timeouts.

What are 'effort' and 'adaptive thinking' controls and when should I change them?

Opus 4.6 supports four effort levels — low, medium, high (default), and max — and an adaptive thinking mode that lets the model select when to apply extended reasoning; lower effort reduces 'overthinking' and cost while higher effort favors deeper reasoning and accuracy.

How does Opus 4.6 compare to Opus 4.5 and to OpenAI's GPT-5.2 on professional tasks?

Anthropic reports Opus 4.6 outperforms Opus 4.5 and cites a ~144 Elo advantage over OpenAI's GPT-5.2 on GDPval-AA, plus top results on Terminal-Bench 2.0 and DeepSearchQA; see the system card for benchmark methodologies and caveats.

Is Claude Opus 4.6 suitable for agentic workflows and what are 'agent teams'?

Yes — Opus 4.6 is designed for sustained agentic tasks and Claude Code supports 'agent teams' (research preview) that run multiple subagents in parallel to coordinate on large, split tasks like codebase reviews.

What safety measures has Anthropic added to Opus 4.6 given its stronger coding and cybersecurity abilities?

Anthropic reports extensive safety testing and six new cybersecurity probes targeted at misuse, plus ongoing system-card evaluations to monitor misaligned behavior and update safeguards.

Which file types and office workflows does Opus 4.6 support (e.g., Excel, PowerPoint)?

Opus 4.6 integrates with office workflows: Anthropic improved Claude in Excel for complex data tasks and released Claude in PowerPoint as a research preview; it also accepts documents, spreadsheets, and vision inputs where supported.

How do I use context compaction in the Messages API for long-running conversations?

Enable the compaction beta by including the compact-2026-01-12 beta header and add a compact_20260112 edit in context_management.edits; compaction summarizes older context automatically to extend effective session length.

Features for Claude Opus 4.6

Explore the key features of Claude Opus 4.6, designed to enhance performance and usability. Discover how these capabilities can benefit your projects and improve user experience.

Pricing for Claude Opus 4.6

Explore competitive pricing for Claude Opus 4.6, designed to fit various budgets and usage needs. Our flexible plans ensure you only pay for what you use, making it easy to scale as your requirements grow. Discover how Claude Opus 4.6 can enhance your projects while keeping costs manageable.
Comet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
Input:$4/M
Output:$20/M
Input:$5/M
Output:$25/M
-20%

Sample code and API for Claude Opus 4.6

Access comprehensive sample code and API resources for Claude Opus 4.6 to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of Claude Opus 4.6 in your projects.
Python
JavaScript
Curl
import anthropic
import os

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com"

client = anthropic.Anthropic(
    base_url=BASE_URL,
    api_key=COMETAPI_KEY,
)
message = client.messages.create(
    model="claude-opus-4-6",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello, Claude"}],
)
print(message.content[0].text)

Versions of Claude Opus 4.6

The reason Claude Opus 4.6 has multiple snapshots may include potential factors such as variations in output after updates requiring older snapshots for consistency, providing developers a transition period for adaptation and migration, and different snapshots corresponding to global or regional endpoints to optimize user experience. For detailed differences between versions, please refer to the official documentation.
version
claude-opus-4-6

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