AI Models & Engines
Supported AI Models
OpenAI GPT Models
GPT-5.2
OpenAI's flagship model for coding and agentic tasks. Latest in GPT-5 series with 400K token context window.
Professional knowledge work, complex coding tasks, agentic workflows
400K context window, 128K max output, extended reasoning, GDPval benchmark leader.
GPT-5
Full GPT-5 model with strong general capabilities across diverse tasks.
Broad task coverage including math, coding, science, and tool calling
Strong reasoning, reliable tool use, comprehensive general intelligence
GPT-4.1
Smartest non-reasoning GPT model with balanced performance.
General-purpose tasks requiring high intelligence without extended reasoning
Broad capability across tasks, efficient for everyday use
GPT-4.1 Mini
Smaller, faster version of GPT-4.1 optimized for cost-efficiency.
High-volume applications where speed and cost matter
Faster responses, lower cost, good balance of capability and efficiency
GPT-4.1 Nano
Fastest and most cost-efficient version of GPT-4.1.
Lightweight tasks requiring quick responses at minimal cost
Maximum speed, minimum cost, suitable for simple queries
GPT-4o Mini
Compact model optimized for speed and affordability.
Quick responses, lightweight automation, high-throughput scenarios
Fast performance, cost-effective, good for everyday tasks
GPT-4
Previous generation flagship model.
Legacy applications, general-purpose tasks
Reliable performance across diverse tasks
GPT-4o
Optimized variant of GPT-4 with enhanced efficiency.
Balanced performance for various applications
Good general capabilities with optimization focus
GPT-4-Turbo
High-performance variant of GPT-4.
Tasks requiring enhanced speed
Faster processing while maintaining GPT-4 quality
GPT-3.5 Turbo
Efficient model from GPT-3.5 family.
Cost-effective basic tasks
Good performance-to-cost ratio
GPT-3.5 Turbo Instruct
Instruction-tuned variant of GPT-3.5 Turbo.
Following specific instructions accurately
Enhanced instruction-following capabilities
OpenAI o-Series (Reasoning Models)
o1
First reasoning model with internal chain-of-thought processing.
Complex reasoning, math, coding tasks requiring step-by-step thinking
Internal reasoning chains, deliberate problem-solving approach
o4-mini
Latest small reasoning model optimized for speed and cost-efficiency. Released April 2025.
Fast reasoning tasks in math, coding, and vision at high volume
200K context, 100K output, multimodal support
o3
Advanced reasoning model with significant improvements over o1. Released April 2025.
Complex multi-faceted analysis, visual tasks, programming challenges
200K context, agentic tool use, 20% fewer major errors than o1
Anthropic Claude Models
Haiku 4.5
Fastest and most cost-efficient Claude model with near-frontier performance. Released October 2025.
High-volume applications, real-time responsiveness, sub-agent orchestration
200K context, 64K output, 73.3% SWE-bench score, 2x+ faster than Sonnet 4
Sonnet 4
Balanced model bridging speed and intelligence from Claude 4 family.
Complex reasoning without frontier costs, general-purpose tasks
Strong reasoning, good coding capabilities, balanced performance
Sonnet 4.5
Best coding model with state-of-the-art agentic capabilities. Released September 2025.
Complex coding agents, autonomous workflows, computer use tasks
200K/1M context options
Quick Selection Guide
For Professional Content Generation:
Complex writing and analysis: GPT-5.2
Long-form content: Claude Sonnet 4.5
High-volume text generation: Claude Haiku 4.5
For Reasoning Tasks:
Complex reasoning: o3
Fast reasoning at scale: o4-mini
General reasoning: o1
For Cost-Efficiency:
Lightweight tasks: GPT-4.1 Nano
Fast responses: Claude Haiku 4.5 or GPT-4o Mini
Budget-conscious: GPT-3.5 Turbo
For Advanced Text Workflows:
Flagship intelligence: GPT-5.2 or Claude Sonnet 4.5
Multi-step generation: Claude Haiku 4.5
Research and synthesis: o3 or Claude Sonnet 4.5
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