Models / Muse Spark Open

Meta

Muse Spark Open

Early evidence, 9 results from 1 source, on 2 use cases. Muse Spark Open is best for reasoning and knowledge; it is not on sale through OpenRouter, so it is here for reference.

Results 20 Oct 2026 · 9 results · 1 source

Price per million tokens
Not available through OpenRouter
Speed
142 tokens a second; on its test prompt the answer starts after 14.6 s, thinking time included
Artificial Analysis, on its usual API, at xhigh reasoning
Intelligence Index
38.9
Artificial Analysis, at xhigh reasoning
Spring Prompt overall
Not ranked yet
needs our benchmarks and two groups of results
Developer
Meta, based in the US
Weights not published
Released
15 Oct 2026

Where it stands among the models you could choose

Available models grouped by price, intelligence, speed and developer location. Retired models are excluded.

AmongIntelligence IndexSpring Prompt overallPrice, blendedSpeed
Models available today 32nd of 203Claude Opus 5.5 – – 24th of 65Gemini 3.5 Flash-Lite
Models with similar intelligence sets this group – – 3rd of 11DeepSeek-V4.1-Flash
Models writing 100–200 tokens a second 6th of 22Claude Sonnet 5.5 – – sets this group
Models from developers based in the US 23rd of 97Claude Opus 5.5 – – 14th of 33Gemini 3.5 Flash-Lite

The name under each rank is the leader of that group; green is the top quarter of the group and red the bottom quarter, by rank. Price is shown as a percentile: the share of the group that costs less, so lower is cheaper. "Sets this group" marks the measure the group is defined by. Spring Prompt overall is our score out of 100 across every source (how it works). Price is the developer's list price (or the typical OpenRouter host where we haven't read one) for three input tokens to one output; intelligence and speed are from Artificial Analysis (data sourced from Artificial Analysis); "similar intelligence" means within 4 points on its Intelligence Index. Developer locations are where each company is based, not where a model is served. Groups under 3 models are not ranked.

How good is it, and for what?

Each use case ranks the available models its benchmarks measured. The bar shows its percentile in that field, best to the right. Open a row for the results behind it.

Product listingsTurning a sparse product feed and photos into listings that can go live Not measured
  • CatalogBench: has not measured this model.
Decks from an analysisTurning a finished analysis into a deck you could present as it is Not measured
  • DeckBench: has not measured this model.
User surveysPlanning a user survey and reading its results without being misled Not measured
  • SurveyBench: has not measured this model.
Marketing planningPlanning a year of ad spend without overspending Not measured
  • ROASBench: has not measured this model.
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 53rd of 169 available
BenchmarkMuse Spark OpenRank among availableBest available
Artificial AnalysisArtificial Analysis: Terminal-Bench 4.0 · reported 8.1% 40th of 110 Claude Sonnet 5.5 63.6%
Artificial AnalysisArtificial Analysis: Terminal-Bench 2.1 · reported 76.4% 31st of 116 Claude Fable 5.1 91.4%
  • tau2-bench: pending. Its latest results are dated 26 May 2026, before this model was released.
  • Berkeley Function Calling Leaderboard (BFCL) V4: pending. Its latest results are dated 16 Dec 2025, before this model was released.
  • OpenHands Index: pending. Its latest results are dated 30 Jun 2026, before this model was released.
  • Microsoft STATE-Bench: pending. Its latest results are dated 29 May 2026, before this model was released.
  • Vending-Bench 2: pending. Its latest results are dated 1 Oct 2026, before this model was released.
Professional workReal tasks from banking, consulting and law, business documents and freelance projects PendingReleased after these sources last updated
  • APEX-Agents: pending. Its latest results are dated 1 Oct 2026, before this model was released.
  • GDP.pdf: pending. Its latest results are dated 1 Oct 2026, before this model was released.
  • Remote Labor Index: pending. Its latest results are dated 1 Oct 2026, before this model was released.
Reasoning and knowledgeHard questions across science, maths and general knowledge 41st of 203 available
BenchmarkMuse Spark OpenRank among availableBest available
Artificial AnalysisArtificial Analysis: Artificial Analysis Intelligence Index · reported 38.9 32nd of 203 Claude Opus 5.5 57.6
Artificial AnalysisArtificial Analysis: Humanity's Last Exam · reported 43.9% 25th of 202 Claude Opus 5.5 61.4%
Artificial AnalysisArtificial Analysis: GPQA Diamond · reported 89.0% 52nd of 188 GPT-6 Astra 96.3%
WritingWhat people prefer in blind comparisons, and judged writing quality PendingReleased after these sources last updated
  • Arena (formerly LMArena): pending. Its latest results are dated 2 Oct 2026, before this model was released.
  • UGI Leaderboard: pending. Its latest results are dated 2 Oct 2026, before this model was released.
Sticking to the factsSummarising without inventing things, and factual answers PendingReleased after these sources last updated
  • Vectara Hallucination Leaderboard: pending. Its latest results are dated 22 Sep 2026, before this model was released.
  • Arena (formerly LMArena): pending. Its latest results are dated 2 Oct 2026, before this model was released.
  • SimpleQA Verified (Epoch AI): pending. Its latest results are dated 29 Sep 2026, before this model was released.
Speed under pressureGood decisions against a real clock (fast chess) Not measured
  • BulletBench: has not measured this model.

Nearest alternatives

  • Open weights at similar intelligenceMiMo-V2.6-Flash$0.18 blended · Intelligence Index 37.9

Against Muse Spark Open, Intelligence Index 38.9. "Similar intelligence" means within 4 points or better.

Against the alternatives

The models you would most likely weigh it against: the leaders of the groups above.

Scroll sideways to see every alternative.

Muse Spark OpenDeepSeek-V4.1-Flash
fastest with similar intelligence
Claude Opus 5.5
most intelligent available today
Muse Wonder
Meta's best other model
GPT-6.1 Sol
near the top overall
Price per million tokens – $0.52$8.00$8.00$4.00
Tokens a second 142 3699615353
Intelligence Index 38.9 39.557.652.451.8
Spring Prompt overall – 53857280
Rank among available models, by use case
Product listings – 10th9th4th2nd
Decks from an analysis – –4th9th3rd
User surveys – –1st2nd3rd
Marketing planning – –5th13th–
Agents and tool use 53rd of 169 28th2nd8th5th
Professional work pending –3rd–9th
Reasoning and knowledge 41st of 203 40th1st7th6th
Writing pending 29th5th–16th
Sticking to the facts pending 24th3rd–19th
Speed under pressure – ––13th3rd

Shaded figures are better than Muse Spark Open's. A dash means no result.

Where it has been measured

3rd fastest of the 11 models with similar intelligence. Compared with the models available today (it is not on sale itself), in the top quarter (by percentile) for reasoning and knowledge. Results for professional work, writing and sticking to the facts are pending: those sources last updated before this model was released.

Every result

9 published results from 1 source, each in the source's own units, with the configuration that produced it.

Artificial Analysis · reported by Artificial Analysis · 9 results
MeasureValueRankConfigurationDated
Artificial Analysis: Artificial Analysis Intelligence Indexindex score, higher is better 38.9 71 of 413 Muse Spark Open (xhigh reasoning) 20 Oct 2026
Artificial Analysis: GPQA Diamond% of questions, higher is better 89.0% 83 of 360 Muse Spark Open (xhigh reasoning) 20 Oct 2026
Artificial Analysis: Humanity's Last Exam% of questions, higher is better 43.9% 52 of 411 Muse Spark Open (xhigh reasoning) 20 Oct 2026
Artificial Analysis: Long-context reasoning (AA-LCR)% of questions, higher is better 78.3% 103 of 399 Muse Spark Open (xhigh reasoning) 20 Oct 2026
Artificial Analysis: Output speedtokens per second, higher is better 142 43 of 137 Muse Spark Open (xhigh reasoning) 20 Oct 2026
Artificial Analysis: SciCode% of problems, higher is better 58.4% 21 of 197 Muse Spark Open (xhigh reasoning) 20 Oct 2026
Artificial Analysis: Terminal-Bench 2.1% of tasks, higher is better 76.4% 60 of 188 Muse Spark Open (xhigh reasoning) 20 Oct 2026
Artificial Analysis: Terminal-Bench 4.0% of tasks, higher is better 8.1% 90 of 193 Muse Spark Open (xhigh reasoning) 20 Oct 2026
Artificial Analysis: Time to first answer tokenseconds, lower is better 14.6 73 of 137 Muse Spark Open (xhigh reasoning) 20 Oct 2026

Not shown: Not business work, and a blend: read the parts for any one task.