Model comparison

Gemini 3.7 Flash vs GPT-5.6 Terra

Gemini 3.7 Flash and GPT-5.6 Terra score almost the same on the Noometry Index (59.8 vs 59.2), so choose on price, context window or the category you care about most.

Last verified . 42 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

Summary

  • They share 42 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 7 categories and GPT-5.6 Terra in 3 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 69.6.
  • The biggest single-benchmark swing is FrontierMath Tier 4: 36.6% for Gemini 3.7 Flash and 70.7% for GPT-5.6 Terra.
  • Gemini 3.7 Flash is cheaper at $0.75 / $3.75 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 3.7 Flash and GPT-5.6 Terra specifications
Gemini 3.7 FlashGPT-5.6 Terra
ProviderGoogleOpenAI
Noometry Index59.859.2
Released2026-08-132026-07-09
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output66K128K
Input $ / M tokens$0.75$2
Output $ / M tokens$3.75$12
Results tracked4452

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Category by category

Coding GPT-5.6 Terra leads

Gemini 3.7 Flash: 56.2 (#22), GPT-5.6 Terra: 57.7 (#19)

Coding benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
DeepSWE65.5%69.6%
FrontierCode43.6%41.3%
LMArena WebDev15921522
SciCode59.8%55%
LMArena Coding14971484
ALE-Bench904.31,951
CursorBench—41.3%
FrontierSWE20.3%—
WeirdML—78.3%

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.1 (#19), GPT-5.6 Terra: 40.1 (#25)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
APEX-Agents67.8%58.2%
GDP.pdf23.8%24.7%
Remote Labor Index5%—
BALROG—53.2%
Vending-Bench 2—7,343

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.0 (#15), GPT-5.6 Terra: 60.7 (#21)

Reasoning benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
ARC-AGI-284.6%83.9%
NYT Connections (extended)94%78.4%
ARC-AGI-195.5%96.5%
CritPt14.3%30%
Chess Puzzles47%54%
LMArena Hard Prompts14941468
Mystery Game Puzzles37%35%
DTBench96.8%93.3%
LMCA50.4%55%
Epoch Capabilities Index157.27159.62
SimpleBench—48.9%
Kagi LLM Benchmark—51.3%
Surface Evolver Bench—83.8%

Math GPT-5.6 Terra leads

Gemini 3.7 Flash: 69.6 (#23), GPT-5.6 Terra: 81.6 (#12)

Math benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
FrontierMath (Tiers 1-3)71.6%86%
FrontierMath Tier 436.6%70.7%
OTIS Mock AIME 2024-202597.2%99.7%
ProofBench58%74%
LMArena Math15071466

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.7 (#5), GPT-5.6 Terra: 61.2 (#30)

Knowledge benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
GPQA Diamond94.8%93.3%
SimpleQA Verified69.2%43.2%
LMArena Expert15081492

Multimodal GPT-5.6 Terra leads

Gemini 3.7 Flash: 37.3 (#73), GPT-5.6 Terra: 47.3 (#11)

Multimodal benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
LMArena Vision13161271
Furniture Assembly26.7%54.2%
Blueprint-Bench 2—30.8%
LMArena Document—1472

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.6 (#7), GPT-5.6 Terra: 54.4 (#44)

Multilingual benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
LMArena Non-English14841439
LMArena Chinese15481513
LMArena French15051471
LMArena German14981460
LMArena Japanese15121457
LMArena Korean14831425
LMArena Russian15161450
LMArena Spanish15031448

Instruction Following Gemini 3.7 Flash leads

Gemini 3.7 Flash: 77.7 (#15), GPT-5.6 Terra: 76.4 (#40)

Instruction Following benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
LMArena Instruction Following14831454

Long Context Gemini 3.7 Flash leads

Gemini 3.7 Flash: 45.7 (#30), GPT-5.6 Terra: 44.4 (#68)

Long Context benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
LMArena Longer Query14921451

Writing & Preference Too close to call

Gemini 3.7 Flash: 71.2 (#20), GPT-5.6 Terra: 70.2 (#23)

Writing & Preference benchmarks
BenchmarkGemini 3.7 FlashGPT-5.6 Terra
LMArena Text14861447
LMArena Creative Writing14901410
EQ-Bench Creative Writing17231855
LMArena Multi-Turn14891449
EQ-Bench 4—1234

Frequently asked questions

Is Gemini 3.7 Flash better than GPT-5.6 Terra?

Gemini 3.7 Flash and GPT-5.6 Terra score almost the same on the Noometry Index (59.8 vs 59.2), so choose on price, context window or the category you care about most.

Which is cheaper, Gemini 3.7 Flash or GPT-5.6 Terra?

Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-5.6 Terra lists at $2 and $12.

Is Gemini 3.7 Flash or GPT-5.6 Terra better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 56.2 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 3.7 Flash and GPT-5.6 Terra share?

42 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GPT-5.6 Terra has 52.

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