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Tencent: HY-World 2.1 Panorama

tencent/hy-world-2.1-panorama

HY-World 2.1 Panorama is a 360-degree panorama generation model from Tencent, part of the Hunyuan World family. It turns a single text prompt into one high-resolution equirectangular panorama suitable for virtual tours, skyboxes, and world-building, and is particularly strong at coherent, seamless scene layout across the full sphere. Each request produces one panorama; prompts are capped at 600 characters.

Modalities
Price
$1.60/M tokens
Context
4K
Released
Nov 13, 2026

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark outputs summary for Tencent: HY-World 2.1 Panorama

  • Full wine glass: A wine glass filled to the brim with white wine, the surface level with the rim of the glass, standing upright on a plain wooden table. Straight-on eye-level shot, glass upright and not tilted, no other objects in the frame.
  • Cards & dice: Exactly four playing cards face up in a single straight row on a polished marble counter, evenly spaced, all the same size, showing the seven of hearts, the eight of spades, the nine of diamonds and the ten of clubs from left to right. No other objects in the frame. Straight-on eye-level shot, soft even light.
  • Long exact string: A white A4 poster on a brick wall reading exactly "SPRING CLEARANCE - EVERYTHING 40% OFF - SATURDAY 14 JUNE, 9AM TO 6PM". No other text in the frame.
  • Multiple languages: Straight-on photograph of a white overhead directional sign in an international airport terminal, with a black arrow pointing right at the left end. The sign carries the same word in four scripts on four stacked lines, in this order from top to bottom: "DEPARTURES", then the Japanese 出発, then the Korean 출발, then the Arabic المغادرة. Clean sans-serif lettering, sharp focus, no other text anywhere in the frame.
  • Occlusion: Straight-on eye-level photograph of a plain wooden desk. On the left, a closed hardcover book with a dark red cover stands upright, its front cover facing the camera. A blue ceramic mug stands on the desk to the right of the book and clearly further back, about 20 cm behind it, positioned so that the right edge of the book overlaps and hides the left third of the mug. The mug's handle points to the right and the whole rim of the mug is visible. Bare desk surface is visible between the book and the mug. Nothing else on the desk. Plain wall behind, soft even light.
  • Mirror: Straight-on eye-level photograph of a bathroom vanity. A large rectangular mirror covers the wall behind the counter and its bottom edge meets the countertop, so both the objects and their reflections are visible. On the counter, a tall red toothbrush cup on the left and a tall green glass bottle on the right, both roughly 20 cm tall and well apart from each other. The mirror reflects the counter and the objects on it accurately. Nothing else in the frame.
  • Times Square: Wide street-level photograph of Times Square in New York at night, wet asphalt reflecting the lights. Every billboard, screen, storefront window, awning, taxi door and road marking is completely blank — lit with plain colour fields and soft gradients only. No letters, no words, no numbers, no logos, no lettering of any kind anywhere in the frame. Sharp focus, straight-on shot.
  • Landscape and nature: Photograph of an old-growth temperate rainforest after rain, moss on every trunk and fallen log, ferns dense across the floor, thin fog between the far trees. Overcast light with no direct sun, everything from the nearest fern to the last trunk in focus.
  • Interiors: Photograph of a lived-in living room in mid-morning light, a linen sofa with a thrown blanket, a stack of books and a half-finished mug on the coffee table, a rug slightly askew. Wide angle from standing height, verticals kept straight, light from a large window on the left.
  • Food and drink: Photograph of a negroni in a heavy rocks glass over one large clear ice cube, an orange peel twist on the rim, condensation on the outside of the glass. Bar top with a dark background, one warm light from the side catching the colour of the liquid, shallow depth of field.
  • Product shots: Product photograph of a cardboard cereal box with the word GRANOLA printed large across the front panel in a clean sans serif, standing on a pale wooden table beside a bowl. Front three-quarter view, soft window light, the box edges crisp and the printed text sharp.

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input
$0/M tokens
Output
$1.60/M tokens
Price history
No effective price data for this selection

Performance

Latency is how long it takes to generate and return the image (lower is better).

End-to-end latency
72.60s

P50, best provider

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)The model was reachable. Request routed to a provider.
99.17%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
32.23%

Availability over the last 3 days

Last 72 hours
Availability 32.23%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
31.40%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Not enough data for apps using this model yet.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

Frequently asked questions