BenchLeader

GLM 5.3 Flash vs Qwen3.8 Max

Verdict
  • Qwen3.8 Max (max) leads on quality: 64.2 vs 62.2.
  • GLM 5.3 Flash is stronger in agents & tools, knowledge, maths.
  • Qwen3.8 Max (max) is stronger in coding, composite, human preference, long context, multimodal, reasoning.
  • GLM 5.3 Flash is 13× cheaper ($0.238 vs $3.00 per 1M blended).
  • GLM 5.3 Flash streams 1.4× faster (53 vs 37 tokens per second).
MetricGLM 5.3 FlashQwen3.8 Max (max)
BenchLeader Index62.264.2
Agents & tools score62.758.2
Coding score63.464.6
Composite score58.670.7
Human preference score67.068.0
Knowledge score65.062.7
Long context score65.265.4
Maths score69.065.1
Multimodal score64.266.2
Reasoning score67.072.2
Blended price $/M$0.238$3.00
Output speed53 tok/s37 tok/s
Time to first answer41.0 s58.9 s
Context window1M1M
Terminal-Bench–27.0%
SciCode51.6%53.2%
APEX-Agents52.8%63.3%
ProofBench–58.0%
Epoch Capabilities Index151.9156.4
LMArena Text14751483
LMArena Hard Prompts15011504
LMArena Coding15251524
LMArena WebDev16091672
LMArena Vision12961314
LMArena Agent-12.3
LiveBench71.6%78.5%
LiveBench Reasoning77.6%88.2%
LiveBench Coding79.0%72.9%
LiveBench Agentic Coding56.8%64.7%
LiveBench Mathematics81.2%91.3%
LiveBench Data Analysis76.4%78.4%
LiveBench Language77.3%79.7%
LiveBench Instruction Following52.8%74.1%
AA Intelligence Index v4.3.241.845.4
AA-LCR80.0%80.3%
MMMU-Pro–82.8%
AA-Omniscience7.512.0
GPQA Diamond (AA)91.2%92.8%
Humanity's Last Exam (AA)39.9%43.1%
SciCode (AA)51.6%53.2%
LiveCodeBench–87.8%
MMLU-Pro–88.6%
IOI–68.9%
LegalBench–83.6%
CorpFin–65.8%
TaxEval–75.5%
Terminal-Bench 2.1 (Vals)–67.4%
SWE-bench (Vals)–85.6%
GPQA Diamond (Vals)–93.7%
Vals Index–48.3
CritPt15.4%20.0%
GDPval-AA v2.157.2%58.6%
τ³-Banking (AA)47.2%51.3%
ITBench SRE (AA)51.2%40.3%
Analyst Agent (AA)–45.0%
APEX-Agents (AA)–42.4%
Code Migration–24.0%
CyberBench–28.6%
Excel Modeling Benchmark–60.1%
Finance Agent v2–50.6%
Harvey's Legal Agent Benchmark–10.4%
Legal Research Bench–47.6%
MedCode–40.7%
MedScribe–85.0%
MMMU-Pro (Vals)–88.0%
MortgageTax–64.0%
MysteryMechanism–23.9%
ProgramBench–0.0%
Public Benefits Bench–67.1%
SAGE–51.3%
SkillsBench–42.0%
Tax Agent Bench–66.0%
Terminal-Bench 4.0 (Vals)–34.3%
Terminal-Bench Science–1.4%
Vals Multimodal Index–65.4%
Vibe Code Bench 1-100–12.8%
Vibe Code Bench v1.1–64.7%
LMArena Maths15021497
LMArena Creative Writing14351470
LMArena Instruction Following14721474
LMArena Multi-turn14721492
LMArena Longer Queries14811492
BTF-314.9%–
Terminal-Bench 4.0 (AA)32.8%38.9%
Terminal-Bench 2.1 (AA)84.3%88.8%
AutomationBench60.4%56.2%
GDP.pdf15.4%22.8%
MLCR51.1%20.0%
Harvey LAB0.8%–
EnterpriseOps-Gym33.2%47.6%
AA-Omniscience: accuracy27.5%31.9%
AA-Omniscience: non-hallucination72.4%71.2%
AA-Briefcase v1.114541617
AA Openness Index44.4–

Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.

GLM 5.3 Flash vs Qwen3.8 Max: questions

Is GLM 5.3 Flash better than Qwen3.8 Max?
Qwen3.8 Max (max) leads on quality: 64.2 vs 62.2. The BenchLeader Index combines every independent quality benchmark; Qwen3.8 Max (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
Is GLM 5.3 Flash better than Qwen3.8 Max for coding?
Qwen3.8 Max scores higher in coding (65 vs 63 on the category index, where 50 is average).
Is GLM 5.3 Flash better than Qwen3.8 Max for agentic tasks?
GLM 5.3 Flash scores higher in agentic tasks (63 vs 58 on the category index, where 50 is average).
Which is cheaper, GLM 5.3 Flash or Qwen3.8 Max?
GLM 5.3 Flash is cheaper: $0.238 against $3.00 per million tokens, blended at three input tokens per output token.
Which is faster, GLM 5.3 Flash or Qwen3.8 Max?
GLM 5.3 Flash streams faster: 53 against 37 output tokens per second.
Which has the larger context window?
Both accept 1M tokens of context.