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Muse Spark Open vs Muse Wonder

Detailed technical comparison between Muse Spark Open (Meta) and Muse Wonder (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Muse Spark Open: 1 WinvsMuse Wonder: 5 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Muse Spark Open

$1.25 / MTok
Metaactive

Muse Spark Open

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...

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Metaactive

Muse Wonder

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

View Muse Wonder Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationMuse Spark OpenMuse Wonder
ProviderMetaMeta
Context Window1,048,576 tokens1,048,576 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityNot verifiedNot verified
API AvailableYesYes
Released Date2026-10-152026-10-12

API Pricing Comparison

Input Price per Million Tokens

Muse Spark Open

$1.25

Muse Wonder

$4.00

Output Price per Million Tokens

Muse Spark Open

$4.25

Muse Wonder

$20.00

💡 Cost Ratio: Muse Spark Open is 3.2x cheaper per input token than Muse Wonder.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
81.6%vs79.2%+2.4% Muse Spark Open
Muse Spark Open 🏆
Muse Wonder
HumanEvalPython coding & logic synthesis
76.4%vs77.4%+1.0% Muse Wonder
Muse Spark Open
Muse Wonder 🏆
MATHComplex mathematical problem solving
53.6%vs54.6%+1.0% Muse Wonder
Muse Spark Open
Muse Wonder 🏆
GPQAGraduate-level expert reasoning
39.0%vs40.0%+1.0% Muse Wonder
Muse Spark Open
Muse Wonder 🏆
HellaSwagCommonsense reasoning and inference
81.2%vs82.2%+1.0% Muse Wonder
Muse Spark Open
Muse Wonder 🏆
MT-BenchMulti-turn conversation flow quality
8.4%vs8.5%+0.1% Muse Wonder
Muse Spark Open
Muse Wonder 🏆

Muse Spark Open Quirks & Gotchas

No developer gotchas reported.

Muse Wonder Quirks & Gotchas

No developer gotchas reported.

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