Strategic comparison of 120+ large language models including Claude Opus 4.6, GPT-5.2, and Gemini 3.0 Pro. Optimize your AI strategy for performance, cost, and scale.
All models natively integrated in PromptOwl via LiteLLM. Click any card to explore the full playbook for that model.
Anthropic
Agentic Reasoning Leader
OpenAI
Multimodal Mathematics King
Long Context Champion
Meta
Open Source Leader
DeepSeek
Maximum ROI Efficiency
xAI
Real-Time Intelligence
Mistral
European Compliance
Alibaba
Multilingual Processing
The PromptOwl advantage: You don't have to choose. Smart routing automatically sends each task to the optimal model based on complexity, cost, and performance requirements. Most enterprises see 5-8x better ROI compared to using a single model for everything.
Credits are PromptOwl's unified currency across 120+ AI models. One credit represents a fixed amount of AI compute. Different models consume different credit amounts based on their intelligence and capability.
Here's what 200K credits actually buys:
Real-World Scenarios:
Unlimited scale with intelligent routing:
Example: 200K credits could power 423 premium tasks (all Claude Opus) OR 19,047 efficient tasks (all Llama) OR 3,500 intelligently-routed tasks (mixing models based on complexity). Smart routing typically delivers 5-8x better ROI.
Based on PromptOwl's unified credit system across 123 models (Feb 2026)
| Model | Credits/Message | 200K Plan (msgs/mo) | 750K Plan (msgs/mo) | Best For |
|---|---|---|---|---|
| Claude Opus 4.6 | 53 | 423 | 1,587 | Complex reasoning |
| GPT-5 | 7 | 3,047 | 11,428 | Math & multimodal |
| Gemini 2.5 Pro | 18 | 1,219 | 4,571 | Long context |
| DeepSeek V3 | 4 | 5,561 | 20,855 | High-volume prod |
| Llama 3.1 70B | 1 | 19,047 | 71,428 | Max efficiency |
* Assuming average message size of ~2K tokens (blended input/output). Actual credit usage varies by message length.
Claude Opus 4.6 by Anthropic is the current leader for autonomous coding, achieving 65.4% on Terminal-Bench 2.0. It costs 53 PromptOwl credits per message (about 423 complex coding tasks per month on a 200K credit plan). For simple boilerplate generation, DeepSeek V3 offers 13x better ROI at only 4 credits per message (5,561 tasks/month on 200K credits).
Llama 3.1 70B costs only 1 PromptOwl credit per message (19,047 messages/month on 200K credits), making it the most cost-efficient frontier model. DeepSeek V3 at 4 credits/message offers the best balance of cost and capability for production workloads like summarization and classification.
With 200,000 PromptOwl credits per month (Starter plan), you can generate: 423 complex Claude Opus analyses, 3,047 GPT-5 multimodal tasks, 5,561 DeepSeek summaries, or 19,047 Llama 3.1 conversations. Credits scale based on model intelligence—premium models use more credits per message, but deliver higher accuracy for complex tasks.
PromptOwl manages 120+ AI models with intelligent routing, unified credit system, and automated cost optimization. Use the right model for each task—automatically.
200K credits/month free trial. No credit card required.