claude-opus-4-8, gpt-5.5, qwen3.7-max, or deepseek-v4-flash is the right fit? The Model Comparison feature at aisa.one/models lets you stack up to three models side-by-side and share the result with a single click.
Open Model Gateway
Pick models from the live catalog and compare them now.
Filter models first
Narrow the catalog to a shortlist before comparing.
How to compare
1
Add models to the comparison dock
From the result grid, click the Compare button on any model card. A floating dock appears at the bottom of the page showing the selected models as chips -
claude-opus-4-8, gpt-5.5, qwen3.7-max, etc.You can add up to 3 models per comparison. Remove one by clicking the × on its chip.2
Open the comparison view
Click the orange Compare button in the dock. A full-screen modal opens with every model’s specs in aligned columns.
3
Review side-by-side
The modal compares each model across every attribute that matters when choosing one:
- Provider and Model ID
- Billing Type (pay-as-you-go vs. flat)
- Input Price and Output Price per 1M tokens
- Flat Price (for media models)
- Context Window (in tokens)
- Endpoint (e.g.,
/v1/chat/completions) - Capabilities + sub-capabilities
- Cost estimates for three request sizes: 1K in + 1K out, 10K in + 2K out, 100K in + 10K out
4
Share the comparison
Three share options appear at the top of the modal:
- Share Link - copies a URL (e.g.,
aisa.one/models?compare=13,20,27). Anyone who opens it lands on the same comparison. - Copy as Image - renders the comparison as a PNG for dropping into Slack, decks, or docs.
- Twitter - posts the comparison card straight to X.
Example comparison
Comparing claude-opus-4-8, gpt-5.5, and qwen3.7-max:
Cost estimate (1K in + 1K out):
$0.0300 vs. $0.0450 vs. $0.0046 -> qwen3.7-max is about 6.5x cheaper than claude-opus-4-8 and 9.7x cheaper than gpt-5.5 for this request size.
When to use the feature
Pricing trade-offs
Compare input/output rates + cost estimates to pick the most cost-effective model for your expected traffic.
Capability matching
Verify which models in your shortlist actually support vision, audio, or long-context reasoning.
Team alignment
Share a comparison link in Slack or your RFC doc so everyone evaluates the same spec table.
Social proof
Post a comparison card to X to show off the savings AIsa passes through.