Hy4 previewvsLongCat-2.5-Preview

Both language models, compared at each maker’s own API list prices. Every figure links to its source.

Compare at your usage

Every model priced for the same request
Prompt per request
Cache hits
Batch

8,000 tokens in, 2,000 out

Hy4 preview on Tencent Cloud TokenHubLongCat-2.5-Preview
Rate appliedBase rateNot offered: no current API price
Inputper 1M tokens¥6.00 —
Cache readper 1M tokens¥0.30 —
Outputper 1M tokens¥18.00 —
Cost per request¥0.084—
Per 1,000 requests¥84.00—

Every model is priced for the same request at its maker’s own list prices (each with its source and date), so bold marks the cheapest. A model that can’t serve the request is named, not ranked; a condition its seller doesn’t price says which rate was used.

Key differences

Input modalities
Text, Image Change Log | LongCat API Docs · as of Nov 1, 2026

These differences use verified vendor specifications or each maker’s official API on the same region, currency, meter and billing conditions. Different conditions remain side by side in the full table; they do not establish which model is cheaper. Declared features describe support, not measured quality or a recommendation. Missing evidence does not mean a feature is unsupported.

Full comparison

Hy4 preview Tencent LongCat-2.5-Preview Meituan
Overview
ReleasedAug 28, 2026 Sep 25, 2026
Open weightsYes —
Specs
Context1.02M 1M
Max input960K Not stated
Max output64K 128K
Input modalitiesText Text, Image
Output modalitiesText Text
ReasoningYes Yes
Reasoning effortsnone, high Not stated
Reasoning can be offYes Not stated
Tool useYes Yes
Structured outputYes Not stated
Pricing · per 1M tokens
Input price¥6.00Also priced under other conditions: Batch —
Output price¥18.00Also priced under other conditions: Batch —
Cache read price¥0.30Also priced under other conditions: Batch —
Blended price (3 input : 1 output)¥9.00 —
Pricing under conditions · per 1M tokens
Batch input price¥3.00Batch —
Batch output price¥9.00Batch —

Headline prices may come from different channels, regions or tiers. Check each source before choosing a model; missing facts stay blank.

Model details and sources

Cited scores