BenchLeader

GPT-5.5 vs GPT-5-Codex

Verdict
  • GPT-5.5 leads on quality: 66.7 vs 58.2.
  • GPT-5.5 is stronger in agents & tools, coding, composite, human preference, instruction following, knowledge, long context, multimodal, reasoning.
  • GPT-5-Codex is 3.3× cheaper ($3.44 vs $11.25 per 1M blended).
MetricGPT-5.5GPT-5-Codex
BenchLeader Index66.758.2
Agents & tools score68.556.3
Coding score57.253.6
Composite score77.860.4
Human preference score67.9
Instruction following score73.672.1
Knowledge score73.960.6
Long context score68.862.2
Multimodal score64.958.2
Reasoning score70.164.3
Blended price $/M$11.25$3.44
Output speed85 tok/s
Time to first answer58.6 s
Context window1.1M400k
Terminal-Bench84.7%44.3%
SimpleBench69.0%
Remote Labor Index6.3%
WeirdML54.5%
APEX-Agents38.5%
FrontierCode43.0%
Epoch Capabilities Index159.1
LMArena Text1477
LMArena Hard Prompts1498
LMArena Coding1509
LMArena WebDev1458
LMArena Vision1296
LMArena Agent3
AA Intelligence Index38.624.9
IFBench75.8%74.2%
AA-LCR84.3%71.7%
MMMU-Pro79.9%73.8%
AA-Omniscience20.5-7.5
Terminal-Bench Hard60.6%37.9%
GPQA Diamond (AA)93.5%83.7%
Humanity's Last Exam (AA)45.8%27.9%
SciCode (AA)55.8%
τ²-Bench Telecom (AA)93.9%86.8%
HiL-Bench39.7%
EQ-Bench 41315
Kagi LLM Benchmark88.8%70.3%

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 GPT-5-Codex: questions

Is GPT-5.5 better than GPT-5-Codex?
GPT-5.5 leads on quality: 66.7 vs 58.2. 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 GPT-5-Codex for coding?
GPT-5.5 scores higher in coding (57 vs 54 on the category index, where 50 is average).
Is GPT-5.5 better than GPT-5-Codex for agentic tasks?
GPT-5.5 scores higher in agentic tasks (69 vs 56 on the category index, where 50 is average).
Which is cheaper, GPT-5.5 or GPT-5-Codex?
GPT-5-Codex is cheaper: $3.44 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 400k tokens.