Muse Spark 1.2

Name: Muse Spark 1.2
Author: Meta

Multimodal

Meta

Muse Spark 1.2 is Meta's cost-optimized coding-agent model, delivering strong terminal and software engineering performance at $0.10 per million input tokens. It retains a 1M token context window and multimodal input support.

Key Specifications

Parameters

Context

1.0M

Release Date

August 5, 2026

Average Score

71.0%

API Documentation Results Blog

Timeline

Key dates in the model's history

Announcement

August 5, 2026

Last Update

August 27, 2026

Technical Specifications

Parameters

Training Tokens

Knowledge Cutoff

Family

Capabilities

MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)

$0.10

Output (per 1M tokens)

$0.20

Max Input Tokens

1.0M

Max Output Tokens

131.1K

Supported Features

Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning

Benchmark Results

Model performance metrics across various tests and benchmarks

Other Tests

Specialized benchmarks

Terminal-Bench 2.1

Muse Code harness. • Self-reported

83.0%

Meta Internal Coding Bench

Meta internal evaluation. • Self-reported

71.0%

DeepSWE 1.1

Muse Code harness. • Self-reported

59.0%

License & Metadata

License

proprietary

Announcement Date

August 5, 2026

Last Updated

August 27, 2026

Compare Muse Spark 1.2

All comparisons

vs Muse Spark 1.1 vs Qwen3.8 Flash Next vs DeepSeek-V4-Flash-0731 vs Grok 4.5 vs GPT-5.6 Sol vs Nemotron 3.5 Lightning (30B A3B)vs Gemini 3.6 Flash vs DeepSeek-V4-Pro-0813

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