What models are supported?

We support the latest and most capable models from all leading platforms, including OpenAI, Anthropic, Google, Meta, and DeepSeek. Our system is designed to integrate new models within hours of their public release.

How does the credit system work?

Each plan comes with a set amount of monthly credits. Credits are consumed based on the token usage of the models you interact with. We bill in micro-credits to ensure you only pay for what you actually use.

How does the credit system translate to tokens?

Credits map directly to raw token consumption. For example, $10 of credits corresponds to roughly 1 million input tokens of GPT-4o, or up to 60 million input tokens on our open-source models. View the Benchmarks section for detailed conversion rates.

Is there a free trial?

Yes! Every new account automatically starts with a 7-day Developer plan trial at no cost — 200 credits included. You get full access to multi-model comparison, API key support, and cost visibility. After 7 days, choose Personal ($10/mo) or Developer ($20/mo) to continue.

Can I cancel my subscription at any time?

Absolutely. You can manage your subscription through our billing portal and cancel at any time. Your credits will remains active until the end of your billing cycle.

Claude 3.5 Sonnet vs Gemini 1.5 Pro — Reasoning vs Context Length

These models have since been superseded. You may be looking for the current head-to-head.

Claude 3.5 Sonnet earned a reputation as one of the sharpest reasoning and coding models of its generation, while Gemini 1.5 Pro carved out its niche with a huge context window and native multimodal document understanding.

Key Comparison Factors

Metric / Feature	Claude 3.5 Sonnet	Gemini 1.5 Pro
Primary Strength	Coding, reasoning, writing quality	Long context, multimodal document analysis
Context Window	200,000 tokens	1,000,000 tokens
Coding Ability	Industry-Leading	Very Good
Multimodal Input	Images	Images, audio, video
Best Use Case	Software engineering, structured writing	Whole-codebase or long-document analysis

Pros & Strengths

✓Superior code generation and debugging accuracy
✓Concise, well-structured, human-like writing
✓Strong instruction-following on complex multi-step tasks

Strategic Advantages

✓Massive 1M token context window
✓Native audio and video understanding
✓Excellent for summarizing very large document sets at once

Our Verdict

Choose Claude 3.5 Sonnet for coding, precise writing, and step-by-step reasoning. Choose Gemini 1.5 Pro when you need to process very long documents, codebases, or videos in a single request.

Last reviewed 2026-08-08.

Common Questions

Which model has the bigger context window?

Gemini 1.5 Pro supports up to 1 million tokens of context, roughly 5x the 200k token window of Claude 3.5 Sonnet, making it better suited for analyzing very large documents or codebases in one pass.

Which model is better for coding?

Claude 3.5 Sonnet is generally considered the stronger coding model, with more reliable multi-file reasoning and fewer introduced bugs.