BenchLeader

GLM-5.3-Flash vs Step 5 Preview

Verdict
  • Step 5 Preview leads on quality: 65.0 vs 63.9.
  • GLM-5.3-Flash is stronger in agents & tools, coding, human preference, maths, multimodal.
  • Step 5 Preview is stronger in composite, knowledge, long context, reasoning.
  • GLM-5.3-Flash is 12× cheaper ($0.119 vs $1.43 per 1M blended).
MetricGLM-5.3-FlashStep 5 Preview
BenchLeader Index63.965.0
Agents & tools score68.0
Coding score64.0
Composite score61.784.4
Human preference score67.6
Knowledge score67.872.0
Long context score66.570.8
Maths score71.0
Multimodal score65.360.8
Reasoning score70.382.1
Blended price $/M$0.119$1.43
Output speed98 tok/s
Time to first answer22.9 s
Context window1M1M
SciCode46.1%
Epoch Capabilities Index151.4
LMArena Text1475
LMArena Hard Prompts1498
LMArena Coding1525
LMArena WebDev1607
LMArena Vision1299
LMArena Agent1.1
LiveBench71.6%
LiveBench Reasoning77.6%
LiveBench Coding79.0%
LiveBench Agentic Coding56.8%
LiveBench Mathematics81.2%
LiveBench Data Analysis76.4%
LiveBench Language77.3%
LiveBench Instruction Following52.8%
AA Intelligence Index41.943.6
AA-LCR80.0%88.3%
MMMU-Pro76.4%
AA-Omniscience7.516.4
GPQA Diamond (AA)91.2%
Humanity's Last Exam (AA)39.9%46.5%
SciCode (AA)51.6%58.9%
CritPt15.4%20.9%
GDPval (AA)57.8%53.6%
τ²-Bench Banking (AA)47.2%
LMArena Maths1513
LMArena Creative Writing1435
LMArena Instruction Following1471
LMArena Multi-turn1475
LMArena Longer Queries1476

Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.

GLM-5.3-Flash vs Step 5 Preview: questions

Is GLM-5.3-Flash better than Step 5 Preview?
Step 5 Preview leads on quality: 65.0 vs 63.9. The BenchLeader Index combines every independent quality benchmark; Step 5 Preview is ahead overall as of 2026-09-19, but check the category scores for your use.
Which is cheaper, GLM-5.3-Flash or Step 5 Preview?
GLM-5.3-Flash is cheaper: $0.119 against $1.43 per million tokens, blended at three input tokens per output token.
Which has the larger context window?
Both accept 1M tokens of context.