BenchLeader

GPT-5.6 Terra vs GPT-5 Pro

Verdict
  • GPT-5.6 Terra (xhigh) leads on quality: 64.4 vs 60.8.
  • GPT-5.6 Terra (xhigh) is stronger in agents & tools, coding, composite, human preference, instruction following, long context, maths, reasoning.
  • GPT-5 Pro is stronger in knowledge, multimodal.
  • GPT-5.6 Terra (xhigh) is 9.2× cheaper ($4.50 vs $41.25 per 1M blended).
MetricGPT-5.6 Terra (xhigh)GPT-5 Pro
BenchLeader Index64.460.8
Agents & tools score69.8
Coding score63.7
Composite score77.3
Human preference score66.7
Instruction following score65.3
Knowledge score61.068.0
Long context score66.0
Maths score71.0
Multimodal score63.067.4
Reasoning score58.657.6
Blended price $/M$4.50$41.25
Output speed79 tok/s
Time to first answer33.6 s
Context window1M400k
Humanity's Last Exam31.6%
SimpleBench48.9%61.6%
SciCode51.6%
ProofBench74.0%
Epoch Capabilities Index150.3
LMArena Text1466
LMArena Hard Prompts1491
LMArena Coding1519
LMArena WebDev1521
LMArena Vision1269
LMArena Agent1.5
AA Intelligence Index38.2
IFBench66.3%
AA-LCR79.0%
MMMU-Pro79.5%
AA-Omniscience-3.0
Terminal-Bench Hard62.9%
GPQA Diamond (AA)90.8%
Humanity's Last Exam (AA)41.9%
SciCode (AA)52.3%
τ²-Bench Telecom (AA)80.4%
LiveCodeBench85.9%
MMLU-Pro86.7%
IOI65.3%
CorpFin65.3%
TaxEval76.2%
GPQA Diamond (Vals)90.9%
PRBench Finance51.1%
PRBench Legal49.9%
VISTA52.4%
MultiNRC65.2%
Kagi LLM Benchmark76.8%
ARC-AGI-194.0%70.2%
ARC-AGI-274.2%18.3%
ARC-AGI-30.7%

Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.

GPT-5.6 Terra vs GPT-5 Pro: questions

Is GPT-5.6 Terra better than GPT-5 Pro?
GPT-5.6 Terra (xhigh) leads on quality: 64.4 vs 60.8. The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Terra (xhigh) is ahead overall as of 2026-09-10, but check the category scores for your use.
Which is cheaper, GPT-5.6 Terra or GPT-5 Pro?
GPT-5.6 Terra is cheaper: $4.50 against $41.25 per million tokens, blended at three input tokens per output token.
Which has the larger context window?
GPT-5.6 Terra accepts more context: 1M against 400k tokens.