Model comparison

Gemini 2.5 Flash vs GPT-5.6 Terra

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 5.3× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

Last verified . 32 shared benchmarks.

Gemini 2.5 Flash Google

39.3

Rank #170 Confirmed

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

Summary

  • They share 32 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 1 category and GPT-5.6 Terra in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5.6 Terra leads 60.7 to 18.1.
  • The biggest single-benchmark swing is ARC-AGI-2: 2.5% for Gemini 2.5 Flash and 83.9% for GPT-5.6 Terra.
  • Gemini 2.5 Flash is cheaper at $0.30 / $2.50 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 Flash and GPT-5.6 Terra specifications
Gemini 2.5 FlashGPT-5.6 Terra
ProviderGoogleOpenAI
Noometry Index39.359.2
Released2025-04-172026-07-09
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output66K128K
Input $ / M tokens$0.30$2
Output $ / M tokens$2.50$12
Results tracked5452

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Category by category

Coding GPT-5.6 Terra leads

Gemini 2.5 Flash: 35.8 (#220), GPT-5.6 Terra: 57.7 (#19)

Coding benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
WeirdML41.9%78.3%
LMArena Coding14241484
ALE-Bench661.881,951
DeepSWE—69.6%
FrontierCode—41.3%
SWE-bench Verified (bash only)28.7%—
Aider Polyglot55.1%—
CursorBench—41.3%
LMArena WebDev—1522
SciCode—55%

Agentic & Tool Use GPT-5.6 Terra leads

Gemini 2.5 Flash: 30.8 (#74), GPT-5.6 Terra: 40.1 (#25)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
BALROG33.5%53.2%
Vending-Bench 2548.847,343
Terminal-Bench17.1%—
APEX-Agents—58.2%
Berkeley Function Calling Leaderboard56.2%—
TheAgentCompany41.1%—
GDP.pdf—24.7%

Reasoning GPT-5.6 Terra leads

Gemini 2.5 Flash: 18.1 (#286), GPT-5.6 Terra: 60.7 (#21)

Reasoning benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
ARC-AGI-22.5%83.9%
SimpleBench41.2%48.9%
Kagi LLM Benchmark56.8%51.3%
ARC-AGI-133.3%96.5%
CritPt1.1%30%
LMArena Hard Prompts14221468
DTBench76.5%93.3%
LMCA27.5%55%
Epoch Capabilities Index143.03159.62
NYT Connections (extended)—78.4%
Chess Puzzles—54%
EnigmaEval2.7%—
Mystery Game Puzzles—35%
Surface Evolver Bench—83.8%
ForecastBench60.6—

Math GPT-5.6 Terra leads

Gemini 2.5 Flash: 39.9 (#98), GPT-5.6 Terra: 81.6 (#12)

Math benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
OTIS Mock AIME 2024-202573.1%99.7%
LMArena Math14151466
FrontierMath (Tiers 1-3)—86%
FrontierMath Tier 4—70.7%
ProofBench—74%
Omni-MATH38.5%—
FrontierMath (Feb 2025 set)4.8%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge GPT-5.6 Terra leads

Gemini 2.5 Flash: 36.4 (#168), GPT-5.6 Terra: 61.2 (#30)

Knowledge benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
LMArena Expert14261492
GPQA Diamond—93.3%
Humanity's Last Exam12.1%—
SimpleQA Verified—43.2%
MMLU-Pro63.9%—
Confabulations16.8%—
Vectara Hallucination Rate7.8%—
GPQA (HELM)39%—

Multimodal GPT-5.6 Terra leads

Gemini 2.5 Flash: 41.8 (#32), GPT-5.6 Terra: 47.3 (#11)

Multimodal benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
LMArena Vision12531271
GeoBench76%—
VPCT46.2%—
Blueprint-Bench 2—30.8%
Furniture Assembly—54.2%
LMArena Document—1472
SpatialViz-Bench36.9%—

Multilingual GPT-5.6 Terra leads

Gemini 2.5 Flash: 52.3 (#88), GPT-5.6 Terra: 54.4 (#44)

Multilingual benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
LMArena Non-English14091439
LMArena Chinese14501513
LMArena French14331471
LMArena German14181460
LMArena Japanese14051457
LMArena Korean13851425
LMArena Russian14151450
LMArena Spanish14211448

Instruction Following Too close to call

Gemini 2.5 Flash: 75.7 (#54), GPT-5.6 Terra: 76.4 (#40)

Instruction Following benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
LMArena Instruction Following14051454
IFEval89.8%—

Long Context Gemini 2.5 Flash leads

Gemini 2.5 Flash: 47.5 (#17), GPT-5.6 Terra: 44.4 (#68)

Long Context benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
LMArena Longer Query14191451
Fiction.LiveBench77.8%—

Writing & Preference GPT-5.6 Terra leads

Gemini 2.5 Flash: 53.8 (#157), GPT-5.6 Terra: 70.2 (#23)

Writing & Preference benchmarks
BenchmarkGemini 2.5 FlashGPT-5.6 Terra
LMArena Text14171447
LMArena Creative Writing14001410
EQ-Bench Creative Writing11371855
LMArena Multi-Turn14081449
Short-Story Creative Writing76.5%—
WildBench81.7%—
EQ-Bench 4—1234

Frequently asked questions

Is Gemini 2.5 Flash better than GPT-5.6 Terra?

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 5.3× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

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

Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; GPT-5.6 Terra lists at $2 and $12.

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

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 35.8 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 Flash and GPT-5.6 Terra share?

32 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and GPT-5.6 Terra has 52.

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