BenchLeader

Claude Opus 5.5 vs MiMo-V2.6-Pro

Verdict
  • Claude Opus 5.5 (thinking) leads on quality: 70.5 vs 64.3.
  • Claude Opus 5.5 (thinking) is stronger in composite, knowledge, multimodal, reasoning.
  • MiMo-V2.6-Pro is stronger in long context, agents & tools.
  • MiMo-V2.6-Pro is 15× cheaper ($0.548 vs $8.00 per 1M blended).
MetricClaude Opus 5.5 (thinking)MiMo-V2.6-Pro
BenchLeader Index70.564.3
Composite score95.084.8
Knowledge score84.466.8
Long context score68.269.1
Multimodal score71.7
Reasoning score95.088.8
Agents & tools score55.1
Blended price $/M$8.00$0.548
Output speed59 tok/s54 tok/s
Time to first answer4.2 s39.8 s
Context window1M1.0M
AA Intelligence Index57.646.3
AA-LCR84.7%86.3%
MMMU-Pro87.7%
AA-Omniscience46.48.4
Humanity's Last Exam (AA)61.4%49.4%
SciCode (AA)66.9%60.9%
Terminal-Bench 2.1 (Vals)67.8%
Vals Index59.7
CritPt31.7%26.6%
GDPval (AA)67.3%58.7%
Code Migration43.0%
Excel Modeling Benchmark62.9%
Finance Agent v258.3%
Harvey's Legal Agent Benchmark10.8%
Legal Research Bench47.1%
Terminal-Bench Science2.9%
Vibe Code Bench v1.185.2%
Terminal-Bench 4.0 (AA)59.6%34.9%
AutomationBench69.5%58.6%
GDP.pdf26.2%19.2%
Harvey LAB91.2%
AA-Omniscience: accuracy66.2%34.9%
AA-Omniscience: non-hallucination41.4%59.4%
AA-Briefcase18221522

Data as of 2026-09-23. Best configuration of each model; every score links to its source on the model pages.

Claude Opus 5.5 vs MiMo-V2.6-Pro: questions

Is Claude Opus 5.5 better than MiMo-V2.6-Pro?
Claude Opus 5.5 (thinking) leads on quality: 70.5 vs 64.3. The BenchLeader Index combines every independent quality benchmark; Claude Opus 5.5 (thinking) is ahead overall as of 2026-09-23, but check the category scores for your use.
Which is cheaper, Claude Opus 5.5 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper: $0.548 against $8.00 per million tokens, blended at three input tokens per output token.
Which is faster, Claude Opus 5.5 or MiMo-V2.6-Pro?
Claude Opus 5.5 streams faster: 59 against 54 output tokens per second.
Which has the larger context window?
MiMo-V2.6-Pro accepts more context: 1.0M against 1M tokens.