Providers
Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
The model record exists, but no source-linked provider offer is available yet.
Submit a sourceMuse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...
Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
The model record exists, but no source-linked provider offer is available yet.
Submit a sourceRecorded from the source catalog and provider listings.
meta/muse-spark-1.3-contributorEvery result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.
Read the methodologyField-level changes detected between successful source imports.
This record has not changed within the retained import history.
Every figure on this page traces back to one of these records.
Fetch the complete source-linked model record. No key, no account, no rate-limited tier.
GET https://model.kyssta.lol/api/v1/models/meta/muse-spark-1.3-contributorcurl "https://model.kyssta.lol/api/v1/models/meta/muse-spark-1.3-contributor"Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information. It is published by Meta and catalogued here from OpenRouter.
Meta: Muse Spark 1.3 Contributor accepts up to 1.04858M tokens of context and returns up to 943.718K output tokens.
Provider catalogs list support for image input.
Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows.
Llama 4 Maverick 17B InstructOpen multimodal Llama for strong reasoning with efficient everyday serving
Llama-3.2-11B-Vision-InstructOpen multimodal Llama model for image understanding, captioning, and visual QA
Llama-3.2-3BSmall open Llama base model for lightweight text generation and self-hosting