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Meta · model passport

Meta: Muse Spark 1.2

muse-spark-1-2
  • Cloud only
  • Proprietary licence
  • 1,048,576 context
  • Released 2026-10-09(first seen on LMArena)
10/27axes covered
Overall · LMArena
1,493#10 of 396
Best percentile
98.0Coding
Cohort standing
75.7median 60.6

What the data says

Benchmarked on 10 of 27 tracked axes. Every figure below is the model's own published result on that board.

Strongest axes

  • 98 pct — Coding (1,539)
  • 97.7 pct — Overall (1,493)
  • 96.7 pct — Hard prompts (1,511)

Uneven: 81.6 percentile points between its best and worst axis — 98 pct on Coding versus 16.4 pct on Agent Arena.

  • Coding98 pct1,539Verify →
  • Overall97.7 pct1,493Verify →
  • Hard prompts96.7 pct1,511Verify →
  • Vision Arena95.3 pct1,293Verify →
  • Factuality Arena93.6 pct1,481Verify →
  • Instruction following92.4 pct1,471Verify →
  • SimpleBench92 pct74.5%Verify →
  • SimpleQA Verified81.7 pct60.3%Verify →
  • WebDev Arena70.5 pct1,534Verify →
  • Agent Arena16.4 pct-0.064Verify →
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • GPQA DiamondNot benchmarked
  • AIME (math)Not benchmarked
  • FrontierMathNot benchmarked
  • ARC-AGI-2Not benchmarked
  • Humanity's Last ExamNot benchmarked
  • LiveBenchNot benchmarked
  • BFCL v4 (function calling)Not benchmarked
  • SWE-bench Verified (live board)Not benchmarked
  • Terminal-Bench 4.0Not benchmarked
  • MMLU-Pro (Artificial Analysis)Not benchmarked
  • LiveCodeBench (Artificial Analysis)Not benchmarked
  • IFBench (Artificial Analysis)Not benchmarked
  • HHEM Hallucination (Vectara)Not benchmarked
  • SWE-bench VerifiedNot benchmarked
  • Terminal-BenchNot benchmarked

Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.

How to run it

Use it hosted

API model IDmeta/muse-spark-1.2
Context length1,048,576 tokens
Max output943,718 tokens
Acceptstext, image, video, file
Input price$1.25 per 1M tokens
Cached input price$0.15 per 1M tokens
Output price$4.25 per 1M tokens

API parameters this endpoint supports

Include reasoningMax tokensReasoningReasoning effortRepetition penaltyResponse formatStructured outputsTemperatureTool choiceTool callingTop-kTop-p

Example request

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"meta/muse-spark-1.2","messages":[{"role":"user","content":"Hello"}]}'

View on OpenRouter →

Identifiers, limits and prices are synced from the upstream source shown above. Any field we haven't synced is left out entirely rather than guessed.

  • Muse Spark 1.2 (xHigh) stands at 75.7 (raw mean 83.4) — measured on 10 of 27 axes.

    standingtemplateVerify →

  • Muse Spark 1.2 (xHigh) stands at 75.7 versus a cohort median of 60.6 across 171 models released within 180 days — above the peer median.

    cohorttemplateVerify →

Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →