BenchLeader

MiMo-V2.5-Pro vs Muse Spark 1.3

Verdict
  • Muse Spark 1.3 leads on quality: 68.3 vs 59.1.
  • MiMo-V2.5-Pro is stronger in agents & tools, coding, human preference, instruction following, maths, reasoning.
  • Muse Spark 1.3 is stronger in composite, knowledge, long context.
  • MiMo-V2.5-Pro is 3.1× cheaper ($0.653 vs $2.00 per 1M blended).
  • Muse Spark 1.3 streams 5.6× faster (241 vs 43 tokens per second).
MetricMiMo-V2.5-ProMuse Spark 1.3
BenchLeader Index59.168.3
Agents & tools score50.7
Coding score58.3
Composite score62.690.3
Human preference score61.5
Instruction following score77.5
Knowledge score57.779.1
Long context score66.568.2
Maths score43.0
Reasoning score67.3
Blended price $/M$0.653$2.00
Output speed43 tok/s241 tok/s
Time to first answer53.9 s30.5 s
Context window1.0M1.0M
SciCode50.2%
ProofBench22.0%
LMArena Text1467
LMArena Hard Prompts1496
LMArena Coding1521
LMArena WebDev1475
LMArena Agent-5.4
AA Intelligence Index26.448.2
IFBench79.9%
AA-LCR79.7%83.0%
AA-Omniscience3.325
Terminal-Bench Hard43.2%
GPQA Diamond (AA)86.6%93.5%
Humanity's Last Exam (AA)35.7%48.7%
SciCode (AA)50.6%58.8%
τ²-Bench Telecom (AA)94.2%
LiveCodeBench81.3%
MMLU-Pro84.6%
LegalBench77.1%
CorpFin61.4%
TaxEval73.8%
Terminal-Bench 2.1 (Vals)57.3%
SWE-bench (Vals)74.0%
GPQA Diamond (Vals)82.6%
Vals Index41.0
PRBench Finance59.5%
PRBench Legal61.6%
EQ-Bench 41208

Data as of 2026-09-14. Best configuration of each model; every score links to its source on the model pages.

MiMo-V2.5-Pro vs Muse Spark 1.3: questions

Is MiMo-V2.5-Pro better than Muse Spark 1.3?
Muse Spark 1.3 leads on quality: 68.3 vs 59.1. The BenchLeader Index combines every independent quality benchmark; Muse Spark 1.3 is ahead overall as of 2026-09-14, but check the category scores for your use.
Which is cheaper, MiMo-V2.5-Pro or Muse Spark 1.3?
MiMo-V2.5-Pro is cheaper: $0.653 against $2.00 per million tokens, blended at three input tokens per output token.
Which is faster, MiMo-V2.5-Pro or Muse Spark 1.3?
Muse Spark 1.3 streams faster: 241 against 43 output tokens per second.
Which has the larger context window?
Both accept 1.0M tokens of context.