Noometry

Model comparison

Gemini 2.5 Pro vs GPT-5.6 Terra

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 45.0 on the Noometry Index.

Last verified . 39 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

Summary

  • They share 39 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 2 categories and GPT-5.6 Terra in 8 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 32.5.
  • The biggest single-benchmark swing is ARC-AGI-2: 4.9% for Gemini 2.5 Pro and 83.9% for GPT-5.6 Terra.
  • Gemini 2.5 Pro is cheaper at $1.25 / $10 per million input/output tokens, against $2 / $12 for GPT-5.6 Terra.
  • GPT-5.6 Terra accepts more context: 1.05M tokens versus 1.05M.

Side by side

Gemini 2.5 ProGPT-5.6 Terra
ProviderGoogleOpenAI
Noometry Index45.059.2
Released2025-03-252026-07-09
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output66K128K
Input $ / M tokens$1.25$2
Output $ / M tokens$10$12
Results tracked7852

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Category by category

Coding GPT-5.6 Terra leads

Gemini 2.5 Pro: 42.4 (#101), GPT-5.6 Terra: 57.7 (#19)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
LMArena WebDev12271522
SciCode42.8%55%
WeirdML54%78.3%
LMArena Coding14521484
ALE-Bench785.521,951
SWE-bench Verified57.6%—
DeepSWE—69.6%
FrontierCode—41.3%
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
CursorBench—41.3%
GSO3.9%—
LiveBench Coding85.9%—
CadEval64%—
AlgoTune1.51—

Agentic & Tool Use GPT-5.6 Terra leads

Gemini 2.5 Pro: 29.2 (#88), GPT-5.6 Terra: 40.1 (#25)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
BALROG43.3%53.2%
Vending-Bench 2573.647,343
Terminal-Bench32.6%—
APEX-Agents—58.2%
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
GDP.pdf—24.7%
LMArena Search1142—
METR Time Horizons55.4%—

Reasoning GPT-5.6 Terra leads

Gemini 2.5 Pro: 28.8 (#99), GPT-5.6 Terra: 60.7 (#21)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
ARC-AGI-24.9%83.9%
SimpleBench62.4%48.9%
Kagi LLM Benchmark70.3%51.3%
ARC-AGI-141%96.5%
CritPt2%30%
Chess Puzzles20%54%
LMArena Hard Prompts14551468
DTBench82.4%93.3%
LMCA34.8%55%
Epoch Capabilities Index145.32159.62
NYT Connections (extended)—78.4%
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
Mystery Game Puzzles—35%
LiveBench Data Analysis79.9%—
Surface Evolver Bench—83.8%
ForecastBench61.3—
LiveBench82.3%—

Math GPT-5.6 Terra leads

Gemini 2.5 Pro: 32.5 (#213), GPT-5.6 Terra: 81.6 (#12)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
FrontierMath (Tiers 1-3)24.6%86%
FrontierMath Tier 40%70.7%
OTIS Mock AIME 2024-202584.7%99.7%
LMArena Math14501466
ProofBench—74%
Omni-MATH41.6%—
LiveBench Math90.2%—
MATH Level 595.9%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge GPT-5.6 Terra leads

Gemini 2.5 Pro: 56.0 (#46), GPT-5.6 Terra: 61.2 (#30)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
GPQA Diamond85.3%93.3%
LMArena Expert14521492
Humanity's Last Exam21.6%—
SimpleQA Verified—43.2%
MMLU-Pro86.3%—
Confabulations10.6%—
Vectara Hallucination Rate7%—
GPQA (HELM)74.9%—

Multimodal GPT-5.6 Terra leads

Gemini 2.5 Pro: 45.2 (#18), GPT-5.6 Terra: 47.3 (#11)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
LMArena Vision12631271
LMArena Document14211472
GeoBench86%—
VPCT48%—
Blueprint-Bench 2—30.8%
Furniture Assembly—54.2%
SpatialViz-Bench44.7%—

Multilingual Too close to call

Gemini 2.5 Pro: 55.3 (#31), GPT-5.6 Terra: 54.4 (#44)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
LMArena Non-English14511439
LMArena Chinese15071513
LMArena French14721471
LMArena German14871460
LMArena Japanese14611457
LMArena Korean14341425
LMArena Russian14611450
LMArena Spanish14731448

Instruction Following GPT-5.6 Terra leads

Gemini 2.5 Pro: 75.0 (#75), GPT-5.6 Terra: 76.4 (#40)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
LMArena Instruction Following14371454
LiveBench Instruction Following80.6%—
IFEval84%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), GPT-5.6 Terra: 44.4 (#68)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
LMArena Longer Query14491451
Fiction.LiveBench91.7%—

Writing & Preference GPT-5.6 Terra leads

Gemini 2.5 Pro: 63.7 (#62), GPT-5.6 Terra: 70.2 (#23)

BenchmarkGemini 2.5 ProGPT-5.6 Terra
LMArena Text14581447
LMArena Creative Writing14541410
EQ-Bench Creative Writing14211855
LMArena Multi-Turn14531449
Short-Story Creative Writing83.8%—
WildBench85.7%—
EQ-Bench 4—1234
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than GPT-5.6 Terra?

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 45.0 on the Noometry Index.

Which is cheaper, Gemini 2.5 Pro or GPT-5.6 Terra?

Gemini 2.5 Pro is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; GPT-5.6 Terra lists at $2 and $12.

Is Gemini 2.5 Pro or GPT-5.6 Terra better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 42.4 in the Noometry coding category.

Which has the bigger context window?

GPT-5.6 Terra does, with 1.05M tokens against 1.05M.

How many benchmarks do Gemini 2.5 Pro and GPT-5.6 Terra share?

39 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GPT-5.6 Terra has 52.

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