Model comparison

Gemini 3.8 Flash vs GPT-5.6 Terra

Gemini 3.8 Flash and GPT-5.6 Terra score almost the same on the Noometry Index (59.5 vs 59.1), so choose on price, context window or the category you care about most.

Last verified . 44 shared benchmarks.

Gemini 3.8 Flash Google

59.5

Rank #13 Confirmed

GPT-5.6 Terra OpenAI

59.1

Rank #15 Confirmed

Summary

  • They share 44 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 7 categories and GPT-5.6 Terra in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.5 to 65.2.
  • 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 Index59.559.1
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 tracked4652

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Category by category

Coding Too close to call

Gemini 3.8 Flash: 56.4 (#17), GPT-5.6 Terra: 57.1 (#16)

Coding benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
DeepSWE73.8%69.6%
FrontierCode41.2%41.3%
CursorBench39.6%41.3%
LMArena WebDev15811520
SciCode56.6%55%
LMArena Coding15121484
ALE-Bench1,2701,951
FrontierSWE19.6%—
WeirdML—78.3%

Agentic & Tool Use Too close to call

Gemini 3.8 Flash: 40.3 (#22), GPT-5.6 Terra: 40.2 (#23)

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
BALROG—53.2%

Reasoning Gemini 3.8 Flash leads

Gemini 3.8 Flash: 64.7 (#13), GPT-5.6 Terra: 60.6 (#19)

Reasoning benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
NYT Connections (extended)97.4%78.4%
CritPt18.3%30%
Chess Puzzles61%54%
LMArena Hard Prompts15061467
Mystery Game Puzzles47%35%
DTBench95.7%93.3%
LMCA52.9%55%
Surface Evolver Bench76.9%83.8%
Epoch Capabilities Index157.13159.31
ARC-AGI-2—83.9%
SimpleBench—48.9%
Kagi LLM Benchmark—51.3%
ARC-AGI-1—96.5%

Math GPT-5.6 Terra leads

Gemini 3.8 Flash: 65.2 (#22), GPT-5.6 Terra: 81.5 (#10)

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 Math15281463

Knowledge Gemini 3.8 Flash leads

Gemini 3.8 Flash: 74.9 (#2), GPT-5.6 Terra: 61.3 (#27)

Knowledge benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
GPQA Diamond95.4%93.3%
SimpleQA Verified69.7%43.2%
LMArena Expert15291492
Humanity's Last Exam44.5%—

Multimodal GPT-5.6 Terra leads

Gemini 3.8 Flash: 40.9 (#33), GPT-5.6 Terra: 47.5 (#10)

Multimodal benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Vision13121271
Blueprint-Bench 238.6%30.8%
Furniture Assembly31.7%54.2%
LMArena Document—1472

Multilingual Gemini 3.8 Flash leads

Gemini 3.8 Flash: 57.9 (#5), GPT-5.6 Terra: 54.5 (#42)

Multilingual benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Non-English14861439
LMArena Chinese15471514
LMArena French15021476
LMArena German14701462
LMArena Japanese15051446
LMArena Korean14791420
LMArena Russian15071450
LMArena Spanish14921455

Instruction Following Gemini 3.8 Flash leads

Gemini 3.8 Flash: 78.2 (#11), GPT-5.6 Terra: 76.6 (#38)

Instruction Following benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Instruction Following14891453

Long Context Gemini 3.8 Flash leads

Gemini 3.8 Flash: 46.2 (#23), GPT-5.6 Terra: 44.4 (#64)

Long Context benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Longer Query15061452

Writing & Preference Gemini 3.8 Flash leads

Gemini 3.8 Flash: 72.1 (#16), GPT-5.6 Terra: 70.4 (#21)

Writing & Preference benchmarks
BenchmarkGemini 3.8 FlashGPT-5.6 Terra
LMArena Text14941446
LMArena Creative Writing14851411
EQ-Bench Creative Writing17481855
LMArena Multi-Turn15031451
EQ-Bench 4—1234

Frequently asked questions

Is Gemini 3.8 Flash better than GPT-5.6 Terra?

Gemini 3.8 Flash and GPT-5.6 Terra score almost the same on the Noometry Index (59.5 vs 59.1), so choose on price, context window or the category you care about most.

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?

They score almost the same on coding (56.4 vs 57.1); test both on your own repository before choosing.

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?

44 benchmarks have published results for both models. Gemini 3.8 Flash has 46 scored results on Noometry and GPT-5.6 Terra has 52.

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