BenchLeader

GLM 5 Turbo vs GPT-5.5

Verdict
  • GPT-5.5 leads on quality: 66.8 vs 58.4.
  • GPT-5.5 is stronger in agents & tools, composite, instruction following, knowledge, long context, coding, human preference, multimodal, reasoning.
  • GLM 5 Turbo is 5.9× cheaper ($1.90 vs $11.25 per 1M blended).
  • GPT-5.5 streams 5.3× faster (96 vs 18 tokens per second).
MetricGLM 5 TurboGPT-5.5
BenchLeader Index58.466.8
Agents & tools score63.168.4
Composite score62.978.2
Instruction following score71.874.1
Knowledge score56.674.2
Long context score62.468.9
Coding score57.2
Human preference score67.7
Multimodal score65.1
Reasoning score70.0
Blended price $/M$1.90$11.25
Output speed18 tok/s96 tok/s
Time to first answer7.9 s52.1 s
Context window200k1.1M
Terminal-Bench84.7%
SimpleBench69.0%
Remote Labor Index6.3%
APEX-Agents38.5%
FrontierCode43.0%
Epoch Capabilities Index159.1
LMArena Text1476
LMArena Hard Prompts1498
LMArena Coding1509
LMArena WebDev1458
LMArena Vision1296
LMArena Agent2.8
AA Intelligence Index26.638.6
IFBench73.2%75.8%
AA-LCR71.7%84.3%
MMMU-Pro79.9%
AA-Omniscience-16.420.5
Terminal-Bench Hard33.3%60.6%
GPQA Diamond (AA)84.8%93.5%
Humanity's Last Exam (AA)27.8%45.8%
SciCode (AA)55.8%
τ²-Bench Telecom (AA)98.5%93.9%
HiL-Bench39.7%
EQ-Bench 41315
Kagi LLM Benchmark88.8%

Data as of 2026-09-13. Best configuration of each model; every score links to its source on the model pages.

GLM 5 Turbo vs GPT-5.5: questions

Is GLM 5 Turbo better than GPT-5.5?
GPT-5.5 leads on quality: 66.8 vs 58.4. The BenchLeader Index combines every independent quality benchmark; GPT-5.5 is ahead overall as of 2026-09-13, but check the category scores for your use.
Is GLM 5 Turbo better than GPT-5.5 for agentic tasks?
GPT-5.5 scores higher in agentic tasks (68 vs 63 on the category index, where 50 is average).
Which is cheaper, GLM 5 Turbo or GPT-5.5?
GLM 5 Turbo is cheaper: $1.90 against $11.25 per million tokens, blended at three input tokens per output token.
Which is faster, GLM 5 Turbo or GPT-5.5?
GPT-5.5 streams faster: 96 against 18 output tokens per second.
Which has the larger context window?
GPT-5.5 accepts more context: 1.1M against 200k tokens.