Reasoning Tools JSON

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It improves long-horizon agent collaboration, instruction following, and coding efficiency relative to Muse Spark 1.2.

meta/muse-spark-1.3 2026-09-02 1.04858M context $1.25/M input $4.25/M output
9 providers
Reasoning Tools JSON Open weights

Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.

meta/muse-glimmer-30b 2026-08-10 131.072K context $0.2/M input $0.8/M output
9 providers
Reasoning Tools JSON

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.

meta/muse-spark-1.2 2026-08-05 1.04858M context $1.25/M input $4.25/M output
14 providers
Reasoning

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

meta/muse-spark-1.1 2026-04-08 1.04858M context $1.25/M input $4.25/M output
12 providers
Tools Open weights

Open multimodal Llama for strong reasoning with efficient everyday serving

meta/llama-4-maverick-17b-instruct 2025-04-05 1M context $0.14/M input $0.59/M output
6 providers

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

meta-llama/llama-4-maverick 128K context $0.2/M input $0.696/M output

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

meta-llama/llama-4-scout 327.68K context $0.1/M input $0.3/M output