BenchLeader

Claude Opus 5.5 vs GPT-5.2-Codex

Verdict
  • Claude Opus 5.5 (thinking) leads on quality: 70.7 vs 60.3.
  • Claude Opus 5.5 (thinking) is stronger in composite, knowledge, long context, multimodal, reasoning.
  • GPT-5.2-Codex (xhigh) is stronger in agents & tools, instruction following.
  • GPT-5.2-Codex (xhigh) is 1.7× cheaper ($4.81 vs $8.00 per 1M blended).
  • Claude Opus 5.5 (thinking) streams 1.7× faster (48 vs 28 tokens per second).
MetricClaude Opus 5.5 (thinking)GPT-5.2-Codex (xhigh)
BenchLeader Index70.760.3
Composite score95.064.0
Knowledge score85.062.3
Long context score68.567.3
Multimodal score71.960.2
Reasoning score95.057.6
Agents & tools score65.9
Instruction following score75.3
Blended price $/M$8.00$4.81
Output speed48 tok/s28 tok/s
Time to first answer4.2 s3.6 s
Context window1M400k
AA Intelligence Index57.628.5
IFBench77.6%
AA-LCR84.7%82.3%
MMMU-Pro87.7%76.3%
AA-Omniscience46.4-2.2
Terminal-Bench Hard37.1%
GPQA Diamond (AA)89.9%
Humanity's Last Exam (AA)61.4%35.7%
SciCode (AA)66.9%
τ²-Bench Telecom (AA)92.1%
CritPt31.7%8.7%
GDPval (AA)67.3%
Terminal-Bench 4.0 (AA)59.6%
AutomationBench69.5%
GDP.pdf26.2%
Harvey LAB91.2%
AA-Omniscience: accuracy66.2%41.1%
AA-Omniscience: non-hallucination41.4%26.6%
AA-Briefcase1822

Data as of 2026-09-22. Best configuration of each model; every score links to its source on the model pages.

Claude Opus 5.5 vs GPT-5.2-Codex: questions

Is Claude Opus 5.5 better than GPT-5.2-Codex?
Claude Opus 5.5 (thinking) leads on quality: 70.7 vs 60.3. The BenchLeader Index combines every independent quality benchmark; Claude Opus 5.5 (thinking) is ahead overall as of 2026-09-22, but check the category scores for your use.
Which is cheaper, Claude Opus 5.5 or GPT-5.2-Codex?
GPT-5.2-Codex is cheaper: $4.81 against $8.00 per million tokens, blended at three input tokens per output token.
Which is faster, Claude Opus 5.5 or GPT-5.2-Codex?
Claude Opus 5.5 streams faster: 48 against 28 output tokens per second.
Which has the larger context window?
Claude Opus 5.5 accepts more context: 1M against 400k tokens.