BenchLeader

GPT-5.5 vs Mimo v2 Pro

Verdict
  • GPT-5.5 leads on quality: 66.7 vs 60.6.
  • GPT-5.5 is stronger in coding, composite, human preference, instruction following, knowledge, long context, multimodal, reasoning.
  • Mimo v2 Pro is stronger in agents & tools.
  • Mimo v2 Pro is 3.8× cheaper ($3.00 vs $11.25 per 1M blended).
MetricGPT-5.5Mimo v2 Pro
BenchLeader Index66.760.6
Agents & tools score68.569.4
Coding score57.254.7
Composite score77.865.2
Human preference score67.964.5
Instruction following score73.667.5
Knowledge score73.966.3
Long context score68.860.5
Multimodal score64.9
Reasoning score70.165.2
Blended price $/M$11.25$3.00
Output speed85 tok/s
Time to first answer58.6 s
Context window1.1M1.0M
Terminal-Bench84.7%
SimpleBench69.0%
Remote Labor Index6.3%
APEX-Agents38.5%
FrontierCode43.0%
Epoch Capabilities Index159.1
LMArena Text14771448
LMArena Hard Prompts14981476
LMArena Coding15091503
LMArena WebDev14581433
LMArena Vision1296
LMArena Agent3
AA Intelligence Index38.628.6
IFBench75.8%68.8%
AA-LCR84.3%68.3%
MMMU-Pro79.9%
AA-Omniscience20.54.6
Terminal-Bench Hard60.6%40.9%
GPQA Diamond (AA)93.5%87.0%
Humanity's Last Exam (AA)45.8%30.4%
SciCode (AA)55.8%
τ²-Bench Telecom (AA)93.9%95.0%
HiL-Bench39.7%
EQ-Bench 41315
Kagi LLM Benchmark88.8%

Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.

GPT-5.5 vs Mimo v2 Pro: questions

Is GPT-5.5 better than Mimo v2 Pro?
GPT-5.5 leads on quality: 66.7 vs 60.6. The BenchLeader Index combines every independent quality benchmark; GPT-5.5 is ahead overall as of 2026-09-10, but check the category scores for your use.
Is GPT-5.5 better than Mimo v2 Pro for coding?
GPT-5.5 scores higher in coding (57 vs 55 on the category index, where 50 is average).
Is GPT-5.5 better than Mimo v2 Pro for agentic tasks?
Mimo v2 Pro scores higher in agentic tasks (69 vs 69 on the category index, where 50 is average).
Which is cheaper, GPT-5.5 or Mimo v2 Pro?
Mimo v2 Pro is cheaper: $3.00 against $11.25 per million tokens, blended at three input tokens per output token.
Which has the larger context window?
GPT-5.5 accepts more context: 1.1M against 1.0M tokens.