
Claude Opus 5.5 Economy
Claude Opus 5.5 Economy provides an ultra-low-cost deployment channel for Anthropic's premier Claude Opus 5.5 model architecture. Engineered to handle sustained agentic coding runs, automated multi-step tool execution, and extended long-context analytical tasks, this Economy channel is specifically optimized for maximum budget efficiency. While retaining the underlying reasoning power, adaptive thinking depth, and 1M token context capacity of Opus 5.5, it operates with dynamic stability limits and lower concurrency priority compared to the standard Official channel.
Read Me
Claude Opus 5.5 Economy API
Claude Opus 5.5 Economy is an LLM developed by Anthropic, officially released on September 22, 2026. It represents the economical version of the flagship frontier deep reasoning model, delivering extreme deep reasoning, cross-cycle autonomous agent collaboration, and full-lifecycle system engineering capabilities.
Notice: The model has economy is means this model is not stable and just pricing is lower than the official, if you run the project for stable service we suggest you using the official channel as first option and economy as the alternative retry channels.
On the iCreat platform, this model is accessed via the Anthropic-compatible Messages API endpoint at https://api.icreat.ai/v1/messages. It features a 2-million-token context window, a maximum output of 256,000 tokens, and supports multi-modal inputs. The iCreat platform pricing is $1.2 per million tokens for input and $6 per million tokens for output, offering a highly cost-effective solution.
Model Positioning
Claude Opus 5.5 Economy is positioned as a high-value, cost-effective flagship model. By leveraging the same Opus 5.5 foundational architecture, it provides enterprise-grade deep reasoning and agentic capabilities at approximately 30% of the standard version's cost. It is tailored for users requiring massive context processing, high output limits, and advanced reasoning without the premium price tag.
Core Capabilities
Extended Thinking and Deep Reasoning
The model supports Extended Thinking, allowing it to engage in extreme deep reasoning, complex mathematical and algorithmic deduction, and interdisciplinary scientific research. Users can configure the thinking mode with a specific token budget to balance reasoning depth and latency.
Autonomous Agent Collaboration
It natively supports cross-cycle autonomous agent collaboration and full-lifecycle system engineering. With fine-grained tool calling and end-to-end system-level computer use, it excels in system architecture design and full-stack software engineering tasks.
Multi-Modal Input Processing
The model accepts a wide array of input modalities, including text, high-resolution images, multi-format professional documents, audio, and video. It processes these inputs to output high-precision structured text, making it ideal for complex document analysis and multi-modal data synthesis.
High-Precision Structured Output
It is capable of generating highly precise structured text, ensuring strict compliance with formatting requirements. This makes it highly reliable for high-rigor legal and financial decision-making tasks.
Pricing
| Token Type | Price (USD) | Unit |
|---|---|---|
| Input | $1.2 | Per million tokens |
| Output | $6 | Per million tokens |
| Cache read | $0.06 | Per million tokens |
| Cache write | $1.5 | Per million tokens |
Note: The above are iCreat platform prices. As an Economy version, the pricing is significantly lower than the Claude Opus 5.5 Standard version (official overseas pricing is $4/$20 per million tokens, with cache read at $0.2 and cache write around $2.5). iCreat platform prices shall prevail.
Application Scenarios
- System architecture design and full-stack software engineering
- Complex mathematical modeling and algorithmic deduction
- Interdisciplinary scientific research and data synthesis
- High-rigor legal case analysis and financial decision support
- Autonomous agent collaboration for long-horizon tasks
- Multi-modal data processing involving text, images, audio, and video
Model Comparison
Comparison Table 1: Claude Opus 5.5 Economy vs Standard
| Model | Input Price | Output Price | Cache Read | Cache Write | Context Window | Max Output |
|---|---|---|---|---|---|---|
| Claude Opus 5.5 Economy | $1.2 | $6 | $0.06 | $1.5 | 2 million | 256K |
| Claude Opus 5.5 Standard | $4 | $20 | $0.2 | ~$2.5 | 1 million | 128K |
Note: Economy version pricing is approximately 30% of the Standard version. The Economy version offers a larger context window (2 million vs 1 million tier) and a higher maximum output limit (256K vs 128K), both built on the same Opus 5.5 foundation.
Comparison Table 2: Cross-Vendor Flagship Comparison
| Model | Input Price | Output Price | Context Window | Max Output | DeepSWE v1.1 |
|---|---|---|---|---|---|
| Claude Opus 5.5 Economy (Anthropic) | $1.2 | $6 | 2 million | 256K | - |
| Gemini 4 Argon (Google) | $2 | $10 (promo) | 100 million | 1 million | 77.9% |
| GPT-6 Astra (OpenAI) | $10 | $50 | - | 128K | 74.1% |
Note: Economy version has the lowest price among the three. Argon has the longest output limit (1 million) and leads in DeepSWE (77.9%). The Opus 5.5 foundation leads in Terminal-Bench 4.0 (66.4%) and FrontierSWE v2 (62.3%).
Why Choose Claude Opus 5.5 Economy?
- Unmatched cost-efficiency at approximately 30% of the standard version's price
- Massive 2-million-token context window for processing extensive documents and codebases
- Industry-leading 256K maximum output limit for generating comprehensive responses
- Native Extended Thinking for transparent, deep reasoning processes
- Versatile multi-modal input support covering text, images, audio, video, and professional documents
- Built on the proven Opus 5.5 architecture, ensuring top-tier reasoning and agentic performance
Specifications
| Field | Value |
|---|---|
| Model Name | Claude Opus 5.5 Economy |
| Developer | Anthropic |
| Model ID | claude-opus-5-5 |
| Model Type | LLM (Economy version of flagship frontier deep reasoning model) |
| Base URL | https://api.icreat.ai/v1 |
| Endpoint | https://api.icreat.ai/v1/messages |
| Authentication | Authorization: Bearer ${ICREAT_API_KEY} |
| Input Modalities | Text, high-resolution images, multi-format professional documents, audio, video |
| Output Modalities | High-precision structured text |
| Context Window | 2 million tokens |
| Max Output | 256,000 tokens |
| Thinking Mode | Supported (Extended Thinking with budget_tokens configuration) |
| Tool Support | Fine-grained tool calling, end-to-end system-level computer use |
| Streaming | Supported (stream=true for SSE) |
| Billing Unit | Per million tokens |
| API Mode | Synchronous POST (streaming and non-streaming) |
Architecture
Claude Opus 5.5 Economy is built on the foundational architecture of the Claude Opus 5.5 model, utilizing a transformer-based design optimized for deep reasoning and multi-modal processing. It integrates Extended Thinking natively, allowing the model to allocate specific token budgets for internal reasoning before generating the final output. The architecture supports fine-grained tool calling and end-to-end system-level computer use, enabling autonomous agents to interact with external environments and execute complex workflows. It is accessed via the Anthropic-compatible Messages API, ensuring seamless integration with existing LLM workflows.
Notes
- The
modelparameter must use the iCreat model code:claude-opus-5-5. - Economy version prices ($1.2/$6/$0.06/$1.5) are iCreat platform prices; actual settlement is based on the platform bill and costUSD.
max_tokensis a required parameter. When thinking is enabled, it is recommended to keeptemperatureat the default 1.0.- When thinking is enabled, the
contentarray may contain blocks of bothtype: thinkingandtype: text. The final answer should be read from thetextblock. - The model supports a 2-million-token context window and a maximum output of 256K tokens.
- Both streaming (stream=true, SSE) and non-streaming modes are supported.
- Multi-modal inputs supported include text, high-resolution images, multi-format professional documents, audio, and video.
Frequently Asked Questions
How do I call Claude Opus 5.5 Economy?
You can call it via the Anthropic-compatible /v1/messages endpoint. Set the model parameter to claude-opus-5-5, use Bearer token authentication, ensure max_tokens is provided, and you can enable streaming by setting stream=true.
How is the cost calculated?
The cost is calculated based on token usage: $1.2 per million input tokens, $6 per million output tokens, $0.06 per million cache read tokens, and $1.5 per million cache write tokens. This is approximately 30% of the standard version's price. The usage field in the response provides detailed token statistics.
What are the context window and maximum output limits?
The model supports a massive context window of 2 million tokens and a maximum output limit of 256,000 tokens, allowing for the processing of extensive inputs and the generation of comprehensive outputs.
How do I use Extended Thinking?
You can enable Extended Thinking by configuring the thinking object in the request body with type: "enabled" and setting a budget_tokens value. When enabled, it is recommended to keep the temperature at the default 1.0. The response content will include both thinking blocks (showing the reasoning process) and text blocks (containing the final answer).
What is the difference between this and the standard Opus 5.5?
The Economy version is priced at $1.2/$6 per million tokens, which is approximately 30% of the standard version's cost. It offers a larger context window (2 million tokens) and a higher maximum output limit (256K). Both versions are built on the same Opus 5.5 foundation, ensuring comparable core reasoning capabilities.
How does it compare to Gemini 4 Argon and GPT-6 Astra?
The Economy version has the lowest price among the three. Gemini 4 Argon offers the longest output limit (1 million tokens) and leads in DeepSWE v1.1 (77.9%). The Opus 5.5 foundation, however, leads in Terminal-Bench 4.0 (66.4%) and FrontierSWE v2 (62.3%), demonstrating superior performance in specific engineering and terminal tasks.



