BenchLeader

DeepSeek V4 Pro vs Qwen3.8 Max

Verdict
  • Qwen3.8 Max (max) leads on quality: 64.2 vs 62.8.
  • DeepSeek V4 Pro (max) is stronger in agents & tools, instruction following.
  • Qwen3.8 Max (max) is stronger in coding, composite, knowledge, maths, reasoning, human preference, multimodal.
  • DeepSeek V4 Pro (max) is 1.5× cheaper ($1.98 vs $3.00 per 1M blended).
  • DeepSeek V4 Pro (max) streams 2.5× faster (93 vs 37 tokens per second).
MetricDeepSeek V4 Pro (max)Qwen3.8 Max (max)
BenchLeader Index62.864.2
Agents & tools score63.758.2
Coding score58.364.6
Composite score70.370.7
Instruction following score74.3–
Knowledge score59.862.7
Long context score65.465.4
Maths score56.365.1
Reasoning score65.272.2
Human preference score–68.0
Multimodal score–66.2
Blended price $/M$1.98$3.00
Output speed93 tok/s37 tok/s
Time to first answer48.9 s58.9 s
Context window1M1M
GPQA Diamond91.7%–
FrontierMath Tiers 1–364.6%–
FrontierMath Tier 426.8%–
OTIS Mock AIME98.6%–
SWE-bench Verified (Epoch)77.6%–
SimpleQA Verified52.9%–
Terminal-Bench–27.0%
SciCode51.0%53.2%
WeirdML66.2%–
APEX-Agents–63.3%
ProofBench16.0%58.0%
Epoch Capabilities Index–156.4
LMArena Text–1483
LMArena Hard Prompts–1504
LMArena Coding–1524
LMArena WebDev–1672
LMArena Vision–1314
LMArena Agent–2.3
LiveBench–78.5%
LiveBench Reasoning–88.2%
LiveBench Coding–72.9%
LiveBench Agentic Coding–64.7%
LiveBench Mathematics–91.3%
LiveBench Data Analysis–78.4%
LiveBench Language–79.7%
LiveBench Instruction Following–74.1%
AA Intelligence Index v4.3.23645.4
IFBench76.5%–
AA-LCR80.3%80.3%
MMMU-Pro–82.8%
AA-Omniscience0.812.0
Terminal-Bench Hard46.2%–
GPQA Diamond (AA)92.8%92.8%
Humanity's Last Exam (AA)41.0%43.1%
SciCode (AA)51.0%53.2%
τ²-Bench Telecom (AA)96.2%–
LiveCodeBench87.5%87.8%
MMLU-Pro87.3%88.6%
IOI51.6%68.9%
LegalBench82.4%83.6%
CorpFin65.4%65.8%
TaxEval73.1%75.5%
Terminal-Bench 2.1 (Vals)54.7%67.4%
SWE-bench (Vals)96.4%85.6%
GPQA Diamond (Vals)92.4%93.7%
Vals Index47.648.3
AIME 202696.7%–
HMMT February 202693.9%–
MathArena Apex28.1%–
ARC-AGI-190.0%–
ARC-AGI-261.3%–
CritPt18.0%20.0%
GDPval-AA v2.147.5%58.6%
τ³-Banking (AA)39.6%51.3%
ITBench SRE (AA)38.3%40.3%
Analyst Agent (AA)18.8%45.0%
APEX-Agents (AA)24.3%42.4%
CaseLaw v259.4%–
Code Migration41.5%24.0%
CyberBench72.9%28.6%
Excel Modeling Benchmark52.8%60.1%
Finance Agent v250.4%50.6%
Harvey's Legal Agent Benchmark7.5%10.4%
Legal Research Bench40.9%47.6%
MedCode42.5%40.7%
MedScribe80.2%85.0%
MMMU-Pro (Vals)–88.0%
MortgageTax–64.0%
MysteryMechanism–23.9%
ProgramBench0.0%0.0%
Public Benefits Bench62.9%67.1%
SAGE–51.3%
SkillsBench53.8%42.0%
Tax Agent Bench58.7%66.0%
Terminal-Bench 4.0 (Vals)14.1%34.3%
Terminal-Bench Science0.0%1.4%
Vals Multimodal Index–65.4%
Vibe Code Bench 1-10017.5%12.8%
Vibe Code Bench v1.182.3%64.7%
LMArena Maths–1497
LMArena Creative Writing–1470
LMArena Instruction Following–1474
LMArena Multi-turn–1492
LMArena Longer Queries–1492
Chess Puzzles47.0%–
Mystery Game Puzzles43.0%–
LMCA41.2%–
DTBench90.7%–
ALE-Bench1403.2–
Terminal-Bench 4.0 (AA)14.7%38.9%
Terminal-Bench 2.1 (AA)78.7%88.8%
AutomationBench56.7%56.2%
GDP.pdf11.4%22.8%
MLCR17.8%20.0%
EnterpriseOps-Gym49.6%47.6%
AA-Omniscience: accuracy49.1%31.9%
AA-Omniscience: non-hallucination5.9%71.2%
AA-Briefcase v1.112571617
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.

DeepSeek V4 Pro vs Qwen3.8 Max: questions

Is DeepSeek V4 Pro better than Qwen3.8 Max?
Qwen3.8 Max (max) leads on quality: 64.2 vs 62.8. 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 DeepSeek V4 Pro better than Qwen3.8 Max for coding?
Qwen3.8 Max scores higher in coding (65 vs 58 on the category index, where 50 is average).
Is DeepSeek V4 Pro better than Qwen3.8 Max for agentic tasks?
DeepSeek V4 Pro scores higher in agentic tasks (64 vs 58 on the category index, where 50 is average).
Which is cheaper, DeepSeek V4 Pro or Qwen3.8 Max?
DeepSeek V4 Pro is cheaper: $1.98 against $3.00 per million tokens, blended at three input tokens per output token.
Which is faster, DeepSeek V4 Pro or Qwen3.8 Max?
DeepSeek V4 Pro streams faster: 93 against 37 output tokens per second.
Which has the larger context window?
Both accept 1M tokens of context.