GPT 6 Sol Economy
GPT-6 Sol is OpenAI's cost-efficient, high-performance foundation model in the GPT-6 family, designed to balance flagship-tier intelligence with frontier efficiency. Positioned directly below GPT-6 Astra, Sol excels at long-horizon software engineering, agentic workflow orchestration, and native computer use while dramatically reducing output errors and API operational costs.
| Token Type | Price (USD) | Unit |
|---|---|---|
| Input | $0.20 | Per million tokens |
| Output | $1.00 | Per million tokens |
| Cache Read | $0.02 | Per million tokens |
| Cache Write | $0.25 | Per million tokens |
Related Models
GPT 6.1 Sol Economy
GPT 6.1 Sol Economy offers an ultra-low-cost deployment channel for OpenAI's latest GPT-6.1 Sol architecture. Delivering near-Astra level reasoning, agentic code synthesis, and multi-step tool execution, this Economy channel is specifically optimized for extreme cost reduction. While maintaining the core intelligence of the Sol architecture, it operates with lower concurrency priority and dynamic stability limits compared to the standard Official channel. It is the ideal choice for developers driving background batch processing, automated code testing, non-urgent document analysis, and large-scale asynchronous LLM pipelines where unit economics are paramount.
GPT 6 Astra Economy
GPT-6 Astra is OpenAI's flagship frontier model engineered for long-horizon, complex end-to-end enterprise workflows. Representing a major generational leap toward agentic intelligence, Astra integrates deep multi-step reasoning, advanced software engineering, and native computer-use capabilities to navigate software interfaces and execute multi-application workflows directly via GUI. Powered by symbolic world modeling and dynamic course-correction, it can break open-ended goals into actionable steps, handle ambiguous edge cases, and execute complex operations across unstructured environments. Setting new benchmarks on ARC-AGI-3 as well as complex financial, scientific, and coding tasks, GPT-6 Astra is built for enterprise agent orchestration, autonomous software development, financial intelligence, and complex legal/business decision support.
GPT 5.5 Economy
GPT-5.5 is a frontier model released by OpenAI on April 23, 2026. It features a context window of over 1 million tokens—922,000 input tokens and 128,000 output tokens—and supports both text and image inputs. The model scores 88.7% on SWE-bench Verified and 92.4% on MMLU, while reducing hallucinations by 60% compared with GPT-5.4. It excels in agentic coding, computer use, and deep research, while maintaining per-token latency comparable to GPT-5.4.
GPT 5.6 Sol Economy
GPT-5.6 Sol is the flagship model in OpenAI’s GPT-5.6 series. It is specifically designed for complex reasoning, coding, and agentic workflows, and particularly excels at multi-step problem solving, command-line assistance, and high-quality software tasks. This model is recommended when output quality and reliability matter more than raw throughput.
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GPT 6 Sol Economy
GPT-6 Sol is OpenAI's frontier-tier flagship large language model released on September 22, 2026, designed for complex coding and agentic workflows. The model accepts text and image input with text output, a 1.05 million token context window, 128K max output, and a knowledge cutoff of April 20, 2026. It supports six reasoning effort levels (none/low/medium/high/xhigh/max, default medium) and excels on DeepSWE v1.1 (68.8%), FrontierCode 1.1 (49.3%), AutomationBench (33.2%), and Agents' Last Exam (56.4%), with a factual error rate roughly half that of its predecessor.
The iCreat platform offers this model via the endpoint https://api.icreat.ai/v1/chat/completions (OpenAI Chat Completions compatible), at $0.2 per million input tokens, $1 per million output tokens, and $0.02 per million cached read tokens.
Model Positioning
GPT-6 Sol is positioned as the balanced tier of the GPT-6 family, designed for complex coding and agentic workflows, balancing capability and cost.
Compared to GPT-6 Astra (flagship tier, $10/$50), Sol delivers near-flagship capability at one-fifth the price, suitable for most agentic coding workflows. Compared to GPT-6 Luna (efficient tier, $0.10/$0.50), Sol significantly leads on AutomationBench (33.2% vs 20.7%) and OSWorld 2.0 (64.4% vs 52.7%). GPT-6 Astra remains the strongest model for the hardest end-to-end tasks.
On the iCreat platform, the model is offered at Economy pricing, significantly below the official standard rate.
Core Capabilities
Complex Coding and Agentic Workflows
Built for multi-step coding and autonomous agentic collaboration, with DeepSWE v1.1 at 68.8%, FrontierCode 1.1 at 49.3%, supporting function calling, web search, file search, and computer use.
Long-Horizon Agent Reasoning
Supports a 1.05 million token ultra-long context, with Agents' Last Exam at 56.4% and AutomationBench at 33.2%, excelling in long-horizon professional tasks.
Six Reasoning Effort Levels
Supports none/low/medium/high/xhigh/max reasoning levels (default medium), allowing developers to flexibly balance reasoning depth against cost and latency.
Low Factual Error Rate
Factual error rate reduced by approximately half compared to GPT-5.6 Sol, with significant improvement on internal factuality evaluations.
Streaming Output and Full Feature Support
Supports streaming output (SSE), function calling, structured output, file search, web search, prompt caching, and batch processing across the Chat Completions endpoint.
Pricing
| Token Type | Unit Price | Unit |
|---|---|---|
| Input | $0.2 | per million tokens |
| Output | $1 | per million tokens |
| Cached Read | $0.02 | per million tokens |
| Cache Write | $0.25 | per million tokens |
Note: The above are iCreat platform Economy prices. OpenAI's official standard pricing is $2 input, $10 output, $0.20 cache read, $2.50 cache write per million tokens (50% reduction from GPT-5.6 Sol); iCreat Economy prices are approximately one-tenth of the official rate. The iCreat platform price shall prevail.
Application Scenarios
- Complex software engineering and multi-step agentic coding workflows
- Enterprise agentic workflow orchestration and automation
- Long-document analysis and large-scale codebase understanding
- Deep business intelligence analysis and high-difficulty decision support
- Cross-application computer use tasks
Model Comparison
Comparison Table 1: GPT-6 Family
| Feature | GPT-6 Sol | GPT-6 Astra | GPT-6 Luna |
|---|---|---|---|
| Positioning | Balanced tier, complex coding and agents | Flagship tier, hardest end-to-end tasks | Efficient tier, high-volume tasks |
| Input Price (Official) | $2/M tokens | $10/M tokens | $0.10/M tokens |
| Output Price (Official) | $10/M tokens | $50/M tokens | $0.50/M tokens |
| Context Window | 1.05M tokens | 1.05M tokens | 1.05M tokens |
| Max Output | 128K tokens | 128K tokens | 128K tokens |
| DeepSWE v1.1 | 68.8% | 74.1% | 66.6% |
| AutomationBench | 33.2% | 41.4% | 20.7% |
| OSWorld 2.0 | 64.4% | 73.5% | 52.7% |
| Factual Error Rate | 4.6% | 3.9% | 7.6% |
Note: Sol delivers near-flagship capability at one-fifth of Astra's price, suitable for most agentic coding workflows; Luna is for high-volume low-complexity tasks; Astra is for the hardest end-to-end tasks.
Comparison Table 2: GPT-6 Sol vs Same-Tier Models
| Feature | GPT-6 Sol | Claude Opus 5 | Gemini 3.8 Flash |
|---|---|---|---|
| Positioning | Balanced tier, complex coding and agents | Flagship, enterprise coding | Multimodal workhorse |
| Input Price (Official) | $2/M tokens | $5/M tokens | $1.5/M tokens |
| Output Price (Official) | $10/M tokens | $25/M tokens | $7.5/M tokens |
| Context Window | 1.05M tokens | 1M tokens | 1M tokens |
| DeepSWE v1.1 | 68.8% | 74.0% | Per official |
| AutomationBench | 33.2% | Per official | Per official |
| Reasoning Levels | none/low/medium/high/xhigh/max | low/medium/high/xhigh/max | low/medium/high |
Note: GPT-6 Sol is mid-priced among the three, ranking first on DeepSWE; Gemini 3.8 Flash is cheapest but has fewer reasoning levels.
Why Choose GPT 6 Sol Economy?
- GPT-6 balanced tier, designed for complex coding and agentic workflows
- iCreat Economy pricing at approximately one-tenth of the official standard rate
- 1.05 million token ultra-long context with 128K max output
- DeepSWE v1.1 at 68.8%, factual error rate reduced by approximately half
- Six reasoning effort levels (none~max) for flexible quality-cost balance
- Supports function calling, web search, file search, and computer use
Specifications
| Field | Value |
|---|---|
| Model Name | GPT-6 Sol |
| Developer | OpenAI |
| Model ID | gpt-6-sol |
| Endpoint | https://api.icreat.ai/v1/chat/completions |
| SDK base_url | https://api.icreat.ai/v1 |
| Release Date | 2026-09-22 |
| Model Type | Frontier-tier flagship LLM |
| Authentication | Authorization: Bearer |
| Context Window | 1,050,000 tokens (1.05M) |
| Max Output | 128,000 tokens (128K) |
| Knowledge Cutoff | 2026-04-20 |
| Input Modalities | Text, Image |
| Output Modalities | Text |
| Reasoning Effort | none / low / medium (default) / high / xhigh / max |
| Thinking Mode | thinking: {"type": "enabled"} |
| Streaming | Supported |
| Function Calling | Supported |
| Structured Output | Supported |
| File Search | Supported |
| Web Search | Supported |
| Computer Use | Supported |
| Prompt Caching | Supported |
| Batch Processing | Supported |
| Billing Unit | Per million tokens |
Architecture
The iCreat platform's GPT-6 Sol is served through an OpenAI Chat Completions compatible endpoint, allowing users to call it with any OpenAI API-compatible SDK. Requests must include the API Key in the Authorization header. The request body contains the model field (gpt-6-sol), a messages array (system/user/assistant messages), and optional thinking object (to enable thinking mode), reasoning_effort field (reasoning intensity), stream parameter (streaming output), and standard parameters such as temperature/max_tokens. The model supports six reasoning effort levels (none/low/medium/high/xhigh/max), designed for complex coding and agentic workflows. The model supports streaming, function calling, structured output, file search, web search, computer use, and prompt caching.
Notes
- The model field must use the iCreat platform's model_code (gpt-6-sol), not the vendor's original model name
- The model supports none/low/medium/high/xhigh/max reasoning levels, defaulting to medium
- Cache read costs only $0.02/M tokens — one-tenth of the standard input rate, significantly reducing costs for agent scenarios
- iCreat Economy pricing is approximately one-tenth of the official standard rate; model capabilities are identical
- The official long-context surcharge applies to requests exceeding 272K input tokens (2x input, 1.5x output)
- Please safeguard your API Key and avoid hardcoding it in client-side code or public repositories
Frequently Asked Questions
What is the difference between iCreat Economy pricing and OpenAI's official pricing?
iCreat Economy pricing is approximately one-tenth of the official standard (input $0.2 vs $2, output $1 vs $10), with the same model ID and capabilities. Cache read on iCreat is $0.02 vs $0.20 on official. The iCreat platform price shall prevail.
What is the difference between GPT-6 Sol and GPT-6 Astra?
Sol is the balanced tier ($2/$10); Astra is the flagship tier ($10/$50). Sol delivers near-flagship capability at one-fifth of Astra's price, with DeepSWE v1.1 at 68.8% (vs Astra's 74.1%), suitable for most agentic coding workflows. Astra is for the hardest end-to-end tasks.
How do I control reasoning effort?
Six levels: none, low, medium (default), high, xhigh, and max. None means no reasoning (fastest); max means maximum reasoning (deepest). Higher levels produce deeper reasoning but with greater latency.
How large is the context window?
Supports 1.05 million tokens (1,050,000 tokens) context window with 128K (128,000 tokens) max output. Note that the official long-context surcharge applies to requests exceeding 272K input tokens.
Is function calling supported?
Yes. The model is compatible with the OpenAI Function Calling protocol, and also supports structured output (JSON Schema), file search, web search, computer use, prompt caching, and batch processing.
What is the difference between GPT-6 Sol and GPT-5.6 Sol?
GPT-6 Sol is priced 50% lower than GPT-5.6 Sol (input $4→$2, output $20→$10), with a factual error rate reduced by approximately half, significant improvements on DeepSWE v1.1 and FrontierCode 1.1, and six reasoning effort levels (adding none and max).