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Model Pareto

Muse Spark 1.3

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Input
$1.25/M tok
Output
$4.25/M tok
Blended
$2.00/M tok · 3:1
Speed
219tok/s
Context
1Mtokens

Rankings

Benchmark scores

~ italic, dashed = no published score yet, estimated from related benchmarks.

Coding

SWE-bench VerifiedEstimated
~#2 of 14 (estimated)~88.2%
  1. #1Claude Opus 596.0%
  2. ~#2Muse Spark 1.3Estimated88.2%
  3. #2Claude Sonnet 585.2%
No published score — estimated from related benchmarks
SWE-bench Pro (Public)Estimated
~#5 of 19 (estimated)~70.5%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #4Claude Opus 579.2%
  4. ~#5Muse Spark 1.3Estimated70.5%
  5. #5Intern-S2-397B68.5%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#2 of 20 (estimated)~92.2%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. ~#2Muse Spark 1.3Estimated92.2%
  3. #2Qwen3.8 Flash-Next91.9%
No published score — estimated from related benchmarks

Writing & chat

IFBenchEstimated
~#3 of 126 (estimated)~82.8%
  1. #1MiniMax-M382.9%
  2. #2Qwen3.8 2.4T A95B82.8%
  3. ~#3Muse Spark 1.3Estimated82.8%
  4. #3Qwen3.8-Omni-Flash81.5%
No published score — estimated from related benchmarks
MMMLUEstimated
~#2 of 5 (estimated)~92.1%
  1. #1Gemini 3.1 Pro92.6%
  2. ~#2Muse Spark 1.3Estimated92.1%
  3. #2Gemma 4 31B88.4%
No published score — estimated from related benchmarks
LMArena Text, Non-English (Elo)Few votesVerified
#3 of 531487 Elo
  1. #1Claude Opus 5.51501
  2. #2Claude Fable 5.1Few votes1496
  3. #3Muse Spark 1.3Few votes1487
  4. #4Claude Opus 51483
lmarena.ai · 2026-09-25
LMArena Text (Elo)Verified
#3 of 531493 Elo
  1. #1Claude Opus 5.51509
  2. #2Claude Fable 5.11501
  3. #3Gemini 3.8 Flash1493
  4. #3Muse Spark 1.31493
  5. #6Kimi K31488
lmarena.ai · 2026-09-24

Vision

MMMUEstimated
~#2 of 3 (estimated)~71.3%
  1. #1Claude Haiku 4.573.2%
  2. ~#2Muse Spark 1.3Estimated71.3%
  3. #2Llama 4 Maverick69.4%
No published score — estimated from related benchmarks
CharXiv ReasoningEstimated
~#4 of 9 (estimated)~84.1%
  1. #1Gemini 3.8 Flash86.2%
  2. #2Kimi K384.8%
  3. #3Qwen3.8 Flash-Next84.6%
  4. ~#4Muse Spark 1.3Estimated84.1%
  5. #4Qwen3.8-Omni-Flash83.5%
No published score — estimated from related benchmarks
OmniDocBench v1.5Estimated
~#4 of 8 (estimated)~90.5%
  1. #1MiniMax-M391.6%
  2. #2Kimi K391.1%
  3. #2Qwen3.8 27B91.1%
  4. ~#4Muse Spark 1.3Estimated90.5%
  5. #4Gemini 3.1 Pro85.3%
No published score — estimated from related benchmarks

Hard reasoning

AIME (latest)Estimated
~#2 of 25 (estimated)~96.8%
  1. #1Inkling97.1%
  2. ~#2Muse Spark 1.3Estimated96.8%
  3. #2Muse Glimmer94.7%
No published score — estimated from related benchmarks

Agents

τ²-bench (Telecom)Estimated
~#2 of 116 (estimated)~98.3%
  1. #1Step 3.7 Flash98.5%
  2. ~#2Muse Spark 1.3Estimated98.3%
  3. #2Gemini 3.1 Pro95.6%
No published score — estimated from related benchmarks
OSWorld-VerifiedEstimated
~#3 of 12 (estimated)~84.2%
  1. #1Kimi K384.8%
  2. #2Qwen3.8 27B84.3%
  3. ~#3Muse Spark 1.3Estimated84.2%
  4. #3Nex-N2.5-Pro82.2%
No published score — estimated from related benchmarks
OSWorld 2.0Estimated
~#3 of 5 (estimated)~57.8%
  1. #1GLM-5.3 Flash59.1%
  2. #2Kimi K358.3%
  3. ~#3Muse Spark 1.3Estimated57.8%
  4. #3GPT-5.6 Terra50.2%
No published score — estimated from related benchmarks
BrowseCompEstimated
~#3 of 18 (estimated)~91.4%
  1. #1Atria Dawn Preview92.5%
  2. #2GPT-6 Astra91.5%
  3. ~#3Muse Spark 1.3Estimated91.4%
  4. #3Kimi K391.2%
No published score — estimated from related benchmarks
Not comparable across labs (1)

Kept for reference, not counted in rankings: these use a lab-specific task set, answer key or scoring, so scores can't be compared fairly across labs. Only published scores are shown.