BenchLeader

DeepSeek V4 Pro vs GPT-5.6 Terra

Verdict
  • DeepSeek V4 Pro (max) and GPT-5.6 Terra (max) are level on quality (64.2 vs 65.0).
  • DeepSeek V4 Pro (max) is stronger in agents & tools, composite, instruction following.
  • GPT-5.6 Terra (max) is stronger in coding, knowledge, long context, maths, reasoning, multimodal.
  • DeepSeek V4 Pro (max) is 8.3× cheaper ($0.544 vs $4.50 per 1M blended).
MetricDeepSeek V4 Pro (max)GPT-5.6 Terra (max)
BenchLeader Index64.265.0
Agents & tools score70.259.0
Coding score58.867.2
Composite score75.071.5
Instruction following score74.369.8
Knowledge score58.158.8
Long context score66.668.0
Maths score53.771.5
Reasoning score70.972.3
Multimodal score65.3
Blended price $/M$0.544$4.50
Output speed81 tok/s84 tok/s
Time to first answer55.6 s220.9 s
Context window1M1.1M
GPQA Diamond89.7%93.3%
FrontierMath Tiers 1–345.3%86.0%
FrontierMath Tier 42.4%70.7%
OTIS Mock AIME96.7%99.7%
SWE-bench Verified (Epoch)77.6%
SimpleQA Verified47.0%43.2%
Terminal-Bench21.5%
SciCode50.0%53.9%
WeirdML48.9%
ProofBench16.0%
LiveBench77.9%
LiveBench Reasoning90.6%
LiveBench Coding78.3%
LiveBench Agentic Coding55.0%
LiveBench Mathematics94.9%
LiveBench Data Analysis79.3%
LiveBench Language82.9%
LiveBench Instruction Following64.6%
AA Intelligence Index36.342.3
IFBench76.5%71.2%
AA-LCR80.3%83.0%
MMMU-Pro80.7%
AA-Omniscience0.80.1
Terminal-Bench Hard46.2%57.6%
GPQA Diamond (AA)92.8%92.5%
Humanity's Last Exam (AA)41.0%42.9%
SciCode (AA)51.0%55.0%
τ²-Bench Telecom (AA)96.2%86.3%
LiveCodeBench87.5%
MMLU-Pro87.3%
IOI87.6%
LegalBench80.3%85.1%
CorpFin61.4%
TaxEval72.1%
Terminal-Bench 2.1 (Vals)77.5%
SWE-bench (Vals)77.4%95.4%
GPQA Diamond (Vals)89.4%
Vals Index42.959.6
AIME 202696.7%
HMMT February 202693.9%
MathArena Apex28.1%
ARC-AGI-196.5%
ARC-AGI-283.9%
ARC-AGI-30.8%
CritPt18.0%30.0%
GDPval (AA)49.7%48.9%
τ²-Bench Banking (AA)39.6%40.2%
ITBench SRE (AA)38.3%51.0%
Analyst Agent (AA)18.8%
APEX-Agents (AA)24.3%38.9%
CaseLaw v259.4%
Code Migration26.2%47.8%
Excel Modeling Benchmark51.6%66.2%
Finance Agent v244.1%54.4%
Harvey's Legal Agent Benchmark3.8%0.8%
Legal Research Bench23.1%41.4%
MedCode40.5%
MedScribe75.1%
MMMU-Pro (Vals)86.5%
ProgramBench0.0%0.5%
Public Benefits Bench62.9%
SAGE47.0%
SkillsBench51.3%58.9%
Tax Agent Bench65.2%
Terminal-Bench 4.0 (Vals)26.3%
Terminal-Bench Science10.0%
Vibe Code Bench 1-10014.8%
Vibe Code Bench v1.149.9%74.6%
Chess Puzzles20.0%54.0%
Mystery Game Puzzles35.0%
DeepSWE69.6%
LMCA41.2%52.2%
DTBench90.7%92.5%
CursorBench64.9%
ALE-Bench1951.4

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

DeepSeek V4 Pro vs GPT-5.6 Terra: questions

Is DeepSeek V4 Pro better than GPT-5.6 Terra?
DeepSeek V4 Pro (max) and GPT-5.6 Terra (max) are level on quality (64.2 vs 65.0). The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Terra (max) is ahead overall as of 2026-09-19, but check the category scores for your use.
Is DeepSeek V4 Pro better than GPT-5.6 Terra for coding?
GPT-5.6 Terra scores higher in coding (67 vs 59 on the category index, where 50 is average).
Is DeepSeek V4 Pro better than GPT-5.6 Terra for agentic tasks?
DeepSeek V4 Pro scores higher in agentic tasks (70 vs 59 on the category index, where 50 is average).
Which is cheaper, DeepSeek V4 Pro or GPT-5.6 Terra?
DeepSeek V4 Pro is cheaper: $0.544 against $4.50 per million tokens, blended at three input tokens per output token.
Which is faster, DeepSeek V4 Pro or GPT-5.6 Terra?
GPT-5.6 Terra streams faster: 84 against 81 output tokens per second.
Which has the larger context window?
GPT-5.6 Terra accepts more context: 1.1M against 1M tokens.