Muse Spark

Muse Spark

Meta · Released Apr 8, 2026
Intelligence #94 / 699
54.5 our score
AA Index #42 / 424
44.3 Artificial Analysis
Input Price
Not priced
Output Price
Not priced
Context
Not reported

Analysis Summary

Muse Spark is a Meta model with an intelligence index of 43.5 and a coding index of 58.6. Its instruction-following result is particularly strong, supported by good long-context performance and high task success. Coding capability is suitable for practical engineering assistance, while the agentic index is considerably lower than its general reasoning and content profile.

That combination suits SEO production, content transformation, research synthesis, code assistance, and structured editorial workflows where a human or application controls the process. It is less compelling for autonomous agents that must reliably plan and execute many tool-mediated steps. No pricing, context-window, modality, or tool-calling details are supplied, limiting deployment assessment.

Muse Spark is a strong secondary model for controlled client workflows. Confirm API, pricing, and integration characteristics before committing it to production volume.

Assessed August 9, 2026

Editorial notes

Muse Spark pairs strong reasoning and coding with excellent instruction following, long-context performance, and task success, offering a capable generalist profile with weaker measured agentic performance than its content and coding results suggest.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

Muse Spark pairs strong reasoning and coding with excellent instruction following, long-context performance, and task success, offering a capable generalist profile with weaker measured agentic performance than its content and coding results suggest.

#94 of 699 overall Up 28 this week

Benchmark scores

GPQA Diamond 88.4%
HLE 39.9%
SciCode 51.5%
TerminalBench Hard 45.5%
τ²-Bench 91.5%
IFBench 75.9%
LCR 69.7%

Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.

44.3 Intelligence Index·58.6 Coding Index·28.7 Agentic Index

How Muse Spark compares

Muse Spark ranks #42 of 424 AI models we track for overall intelligence, #45 of 197 for coding, #65 of 179 for agentic tasks. Muse Spark is currently free to use via OpenRouter.

Position in the field
Intelligence: smarter than 87% of models #94
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Muse Spark $0.00 in $0.00 out
Claude Opus 5 $5.00 in $25.00 out
SpaceXAI: Grok 4.6 $2.00 in $6.00 out
Qwen: Qwen3.8 Max $2.00 in $6.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence6.9Technical5.7Value0Content9
Performance profile

Strongest on content. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.

Compare shapes side-by-side →

Frequently asked questions about Muse Spark

How much does Muse Spark cost?

Muse Spark is currently available for free via OpenRouter.

Is Muse Spark good for coding?

On our coding benchmark index, Muse Spark ranks #45 of 197 models, placing it in the top quartile of the field for code generation and debugging.

Who created Muse Spark?

Muse Spark is developed by Meta and was released on April 8, 2026.

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