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Meta · model passport

Meta: Muse Spark 1.3

muse-spark-1-3
  • Cloud only
  • Proprietary licence
  • 1,048,576 context
  • Released 2026-09-13(first seen on LMArena)
11/27axes covered
Overall · LMArena
1,494#9 of 396
Best percentile
98.0Overall
Cohort standing
76.1median 60.4

What the data says

Benchmarked on 11 of 27 tracked axes. Every figure below is the model's own published result on that board.

Strongest axes

  • 98 pct — Overall (1,494)
  • 97.7 pct — Hard prompts (1,515)
  • 96.9 pct — Coding (1,535)

Uneven: 80.6 percentile points between its best and worst axis — 98 pct on Overall versus 17.4 pct on Terminal-Bench 4.0.

  • Overall98 pct1,494Verify →
  • Hard prompts97.7 pct1,515Verify →
  • Coding96.9 pct1,535Verify →
  • Instruction following96 pct1,483Verify →
  • Vision Arena94 pct1,290Verify →
  • WebDev Arena92.8 pct1,659Verify →
  • AIME (math)92.5 pct99.2%Verify →
  • Factuality Arena92.4 pct1,479Verify →
  • Agent Arena74.5 pct0.038Verify →
  • Document Arena63.2 pct1,468Verify →
  • Terminal-Bench 4.017.4 pct14.6%Verify →
  • Search ArenaNot benchmarked
  • GPQA DiamondNot benchmarked
  • FrontierMathNot benchmarked
  • SimpleQA VerifiedNot benchmarked
  • ARC-AGI-2Not benchmarked
  • Humanity's Last ExamNot benchmarked
  • SimpleBenchNot benchmarked
  • LiveBenchNot benchmarked
  • BFCL v4 (function calling)Not benchmarked
  • SWE-bench Verified (live board)Not 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-1.3
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-1.3","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 1.3 (Max) stands at 76.1 (raw mean 83.2) — measured on 11 of 27 axes.

    standingtemplateVerify →

  • Muse Spark 1.3 (Max) stands at 76.1 versus a cohort median of 60.4 across 175 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 →