Is Claude Opus 5.5 available with Zero Data Retention on Elosia?

Claude Opus 5.5 runs on Elosia's standard backend; ZDR is available on many other models in the catalog.

How much does Claude Opus 5.5 cost on Elosia?

Claude Opus 5.5 is billed by usage at $4 per 1M input tokens and $20 per 1M output tokens, within your Elosia plan.

What is Claude Opus 5.5's context window?

Claude Opus 5.5 supports a context window of up to 1,000,000 tokens.

Is Claude Opus 5.5 hosted in the EU?

Yes, Claude Opus 5.5 is available on Elosia's EU-hosted (EdenAI) backend for enterprise organizations.

When should you choose Claude Opus 5.5?

Claude Opus 5.5 is a flagship model, best for the most demanding reasoning, agentic and long-context tasks.

Claude Opus 5.5

ClaudeFlagship

ThinkingTool UseVisionStructured Output

About this model

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...

Performance Tier

Flagship

Claude Opus 5.5 is a flagship model from Claude : the most capable in their lineup.

Best-in-class model from this provider. Highest performance across benchmarks, ideal for demanding tasks.

Pricing

This model is included in Elosia plans

High

High pricing. Reserve this level for tasks that demand maximum quality.

Type	per 1M tokens
Input (prompt)	$4.00
Output (completion)	$20.00
Cache read	$0.200
Cache write	$5.00

Capabilities

Context Length1.0M

Max Output Tokens128K

TokenizerClaude

Inputtext, image, file

Outputtext

Release DateSeptember 22, 2026

Benchmarks

General Intelligence

MMLU

Not reported

GPQA Diamond

Not reported

Mathematics

MATH-500

Not reported

Programming

HumanEval

Not reported

SWE-bench Verified

Not reported

SWE-bench Multilingual

93.9%

Reasoning

IFEval

Not reported

Humanity's Last Exam

64.4%

Multimodal

MMMU-Pro

87.7%

Agentic

SWE-bench Pro

89.9%

Where does Claude Opus 5.5 stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

CodingAnalysisResearchCreative Writing

Strengths

Long-running agentic coding, built for multi-step changes across large codebases
Adaptive thinking is always on, with an effort ladder from low to max; much of its capability is available below maximum effort
1M-token context window, 128K output, and text, image and PDF input
Precise reading of dense charts, diagrams and screenshots without tools, plus computer use through a dedicated toolset
Anthropic's automated behavioral audit reports low rates of misaligned, overeager or destructive actions

Limitations

Thinking cannot be disabled and forced tool use (tool_choice any or tool) returns an error
The system card reports it is more likely to follow malicious instructions embedded in text a user pastes into the prompt, and more often accepts unverifiable claims of authorization
Cybersecurity and biology safety classifiers run with a wide safety margin and can decline some benign or borderline requests
Anthropic publishes no GPQA Diamond, SWE-bench Verified or ARC-AGI-2 score for this model; the MMMU-Pro score shown comes from third-party testing