Model comparison

Gemini 3.8 Flash vs GPT-5.6 Terra

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 59.2 on the Noometry Index.

Last verified . 47 shared benchmarks.

Gemini 3.8 Flash Google

61.8

Rank #11 Confirmed

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

Summary

  • They share 47 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 8 categories and GPT-5.6 Terra in 2 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 65.3.
  • The biggest single-benchmark swing is FrontierMath Tier 4: 22% for Gemini 3.8 Flash and 70.7% for GPT-5.6 Terra.
  • Gemini 3.8 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 3.8 Flash and GPT-5.6 Terra specifications
Gemini 3.8 FlashGPT-5.6 Terra
ProviderGoogleOpenAI
Noometry Index61.859.2
Released2026-09-022026-07-09
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output66K128K
Input $ / M tokens$0.75$2
Output $ / M tokens$3.75$12
Results tracked5052

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Category by category

Coding Gemini 3.8 Flash leads

Gemini 3.8 Flash: 59.2 (#15), GPT-5.6 Terra: 57.7 (#19)

Coding benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
DeepSWE73.8%69.6%
FrontierCode41.2%41.3%
CursorBench39.6%41.3%
LMArena WebDev15841522
SciCode56.6%55%
WeirdML84.8%78.3%
LMArena Coding15101484
ALE-Bench1,2701,951
FrontierSWE19.6%—

Agentic & Tool Use Gemini 3.8 Flash leads

Gemini 3.8 Flash: 41.8 (#21), GPT-5.6 Terra: 40.1 (#25)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
APEX-Agents64.3%58.2%
GDP.pdf23.4%24.7%
Vending-Bench 25,0947,343
Remote Labor Index5.8%—
BALROG—53.2%

Reasoning Gemini 3.8 Flash leads

Gemini 3.8 Flash: 76.9 (#5), GPT-5.6 Terra: 60.7 (#21)

Reasoning benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
ARC-AGI-289.2%83.9%
NYT Connections (extended)97.4%78.4%
ARC-AGI-198.5%96.5%
CritPt18.3%30%
Chess Puzzles61%54%
LMArena Hard Prompts15081468
Mystery Game Puzzles47%35%
DTBench95.7%93.3%
LMCA52.9%55%
Surface Evolver Bench76.9%83.8%
Epoch Capabilities Index156.71159.62
SimpleBench—48.9%
Kagi LLM Benchmark—51.3%

Math GPT-5.6 Terra leads

Gemini 3.8 Flash: 65.3 (#28), GPT-5.6 Terra: 81.6 (#12)

Math benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
FrontierMath (Tiers 1-3)68.4%86%
FrontierMath Tier 422%70.7%
OTIS Mock AIME 2024-202598.9%99.7%
ProofBench48%74%
LMArena Math15281466

Knowledge Gemini 3.8 Flash leads

Gemini 3.8 Flash: 74.8 (#2), GPT-5.6 Terra: 61.2 (#30)

Knowledge benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
GPQA Diamond95.4%93.3%
SimpleQA Verified69.7%43.2%
LMArena Expert15241492
Humanity's Last Exam44.5%—

Multimodal GPT-5.6 Terra leads

Gemini 3.8 Flash: 40.7 (#45), GPT-5.6 Terra: 47.3 (#11)

Multimodal benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Vision13141271
Blueprint-Bench 238.6%30.8%
Furniture Assembly31.7%54.2%
LMArena Document—1472

Multilingual Gemini 3.8 Flash leads

Gemini 3.8 Flash: 58.0 (#5), GPT-5.6 Terra: 54.4 (#44)

Multilingual benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Non-English14911439
LMArena Chinese15541513
LMArena French14981471
LMArena German14931460
LMArena Japanese15021457
LMArena Korean14591425
LMArena Russian15151450
LMArena Spanish14851448

Instruction Following Gemini 3.8 Flash leads

Gemini 3.8 Flash: 78.0 (#13), GPT-5.6 Terra: 76.4 (#40)

Instruction Following benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Instruction Following14901454

Long Context Gemini 3.8 Flash leads

Gemini 3.8 Flash: 46.3 (#24), GPT-5.6 Terra: 44.4 (#68)

Long Context benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Longer Query15081451

Writing & Preference Gemini 3.8 Flash leads

Gemini 3.8 Flash: 72.2 (#15), GPT-5.6 Terra: 70.2 (#23)

Writing & Preference benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Text14991447
LMArena Creative Writing14921410
EQ-Bench Creative Writing17481855
LMArena Multi-Turn15011449
EQ-Bench 4—1234

Frequently asked questions

Is Gemini 3.8 Flash better than GPT-5.6 Terra?

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 59.2 on the Noometry Index.

Which is cheaper, Gemini 3.8 Flash or GPT-5.6 Terra?

Gemini 3.8 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 3.8 Flash or GPT-5.6 Terra better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 57.7 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 3.8 Flash and GPT-5.6 Terra share?

47 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and GPT-5.6 Terra has 52.

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