Meta: Muse Spark Open

Image input Video input Audio input File input Text input Text output
Author's Description

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

Key Specifications
Cost
$$$$$
Context
1M
Released
Oct 15, 2026
Speed
★★
Ability
★★★★
Reliability
★★★
Supported Parameters

This model supports the following parameters:

Logit Bias Tools Top P Reasoning Min P Stop Structured Outputs Logprobs Response Format Top Logprobs Max Tokens Tool Choice Frequency Penalty Presence Penalty Include Reasoning Temperature
Features

This model supports the following features:

Structured Outputs Response Format Reasoning Tools
Performance Summary

Meta's Muse Spark Open, an open-weight model optimized for agentic coding workflows, demonstrates a strong overall performance profile. While its speed performance is moderate, ranking in the 37th percentile across benchmarks, its pricing tends to be at premium levels, placing it in the 18th percentile. A standout feature is its exceptional reliability, achieving a perfect 100% success rate across all evaluated benchmarks, indicating consistent and dependable operation. In terms of specific benchmark results, Muse Spark Open excels in Instruction Following, achieving 86.0% accuracy (90th percentile), and shows very strong performance in Coding with 94.0% accuracy (78th percentile). Its Reasoning capabilities are also robust at 92.0% accuracy (64th percentile). Mathematics performance is solid at 91.0% accuracy (48th percentile). The model's key strengths lie in its high accuracy across complex tasks, particularly in instruction following and coding, which aligns with its design for agentic coding workflows. Its deep codebase understanding and reliable tool calling are likely contributors to these strong results. The primary area for potential improvement is its premium pricing, which may impact its accessibility for some users.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $1.25
Completion $4.25
Input Cache Read $0.15

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Together
Together | meta/muse-spark-open-20261015 1M $1.25 / 1M tokens $4.25 / 1M tokens
Nebius
Nebius | meta/muse-spark-open-20261015 1M $1.25 / 1M tokens $4.25 / 1M tokens
Fireworks
Fireworks | meta/muse-spark-open-20261015 1M $1.25 / 1M tokens $4.25 / 1M tokens
BaseTen
BaseTen | meta/muse-spark-open-20261015 1M $1.25 / 1M tokens $4.25 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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