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Gemini 3.6 Flash vs GPT-5.6 Terra

GPT-5.6 Terra leads Gemini 3.6 Flash on coding, 63.9 to 62.5 on the Vibe Coding Index, and Gemini 3.6 Flash costs 3.2x less per output token ($3.75 vs $12.00 per million). Updated October 22, 2026; 107 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GPT-5.6 Terra
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
68
GPT-5.6 TerraOpenAI
Coding
63.9
Overall
68.1
Output $/M
$12.00
38
vs boards won of 107 shared, 1 tied

Gemini 3.6 Flash or GPT-5.6 Terra: which to pick

Gemini 3.6 Flash and GPT-5.6 Terra are level for coding, 62.5 against 63.9 on the Vibe Coding Index, so price and context decide.

Pick Gemini 3.6 Flash for output tokens 3.2x cheaper ($3.75 vs $12.00 per million) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads. Pick GPT-5.6 Terra for a lower cost per solved task ($0.42 against $1.49) and a larger context window (1.05M against 1.05M tokens).

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved task
Shared results
107
Gemini 3.6 Flash only
2
GPT-5.6 Terra only
20
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.6 Flash 62.5 from 4 benchmarks, GPT-5.6 Terra 63.9 from 6 benchmarks.
Widest category
Math, 21.5 points apart on average over 6 shared benchmarks.
Widest single gap
IOI (Vals AI): Gemini 3.6 Flash 35.1% against GPT-5.6 Terra 87.6%, 52.5 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against GPT-5.6 Terra $12.00 per million output tokens, 3.2x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, GPT-5.6 Terra 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 3.6 FlashBarsGPT-5.6 TerraTies
Coding7121 tie
Intelligence02
Agentic work86
Reasoning86
Math24
Knowledge102
Web design70
General266
All shared boards68381 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index712
Coding benchmarks for Gemini 3.6 Flash and GPT-5.6 Terra
BenchmarkGemini 3.6 FlashGPT-5.6 TerraLeader
LiveBench codingNot measured86.2%Only GPT-5.6 Terra measured
LMArena WebDev15381522Gemini 3.6 Flash
AA Coding Index69.276.7GPT-5.6 Terra
LiveCodeBench (Vals AI)88.1%85.9%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)79.6%95.4%GPT-5.6 Terra
Terminal-Bench 4 (Vals AI)Not measured22.7%Only GPT-5.6 Terra measured
Vibe Code Bench (Vals AI)64.0%74.6%GPT-5.6 Terra
Code migration (Vals AI)30.9%47.8%GPT-5.6 Terra
ProgramBench (Vals AI)0.0%0.5%GPT-5.6 Terra
IOI (Vals AI)35.1%87.6%GPT-5.6 Terra
Terminal-Bench 2.1 (Vals AI)73.8%77.5%GPT-5.6 Terra
Vibe Code Bench 1-100 (Vals AI)Not measured14.8%Only GPT-5.6 Terra measured
SkillsBench (Vals AI)Not measured58.9%Only GPT-5.6 Terra measured
CyberBench (Vals AI)45.4%72.1%GPT-5.6 Terra
SciCode53.4%55.0%GPT-5.6 Terra
Terminal-Bench Hard (Artificial Analysis run)Not measured62.9%Only GPT-5.6 Terra measured
FrontierCode34.4%41.3%GPT-5.6 Terra
WeirdML56.1%78.3%GPT-5.6 Terra
ALE-Bench715.51951.4GPT-5.6 Terra
LMArena Text: coding14911485Gemini 3.6 Flash
LMArena Text: software and IT14921482Gemini 3.6 Flash
LMArena WebDev: React15281513Gemini 3.6 Flash
LMArena WebDev: HTML15471526Gemini 3.6 Flash
LMArena WebDev: from an image15451541Gemini 3.6 Flash
SciCode10.8%10.8%Tie
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.6 Flash and GPT-5.6 Terra
BenchmarkGemini 3.6 FlashGPT-5.6 TerraLeader
AA Intelligence Index34.042.1GPT-5.6 Terra
Epoch Capabilities Index154.5160.1GPT-5.6 Terra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index86
Agentic work benchmarks for Gemini 3.6 Flash and GPT-5.6 Terra
BenchmarkGemini 3.6 FlashGPT-5.6 TerraLeader
AA Agentic Index29.043.2GPT-5.6 Terra
Design Arena: agents building web apps11971120Gemini 3.6 Flash
Design Arena: agents building full-stack apps11811061Gemini 3.6 Flash
Design Arena: agents building mobile apps11981111Gemini 3.6 Flash
Design Arena: agents building Android apps12041062Gemini 3.6 Flash
Design Arena: agents building games11801083Gemini 3.6 Flash
Design Arena: HTML slides10991058Gemini 3.6 Flash
Design Arena: PowerPoint slides11211105Gemini 3.6 Flash
Design Arena: spreadsheets1071Not measuredOnly Gemini 3.6 Flash measured
LiveBench researchNot measured60.4%Only GPT-5.6 Terra measured
LiveBench browserNot measured84.0%Only GPT-5.6 Terra measured
LiveBench long agenticNot measured48.4%Only GPT-5.6 Terra measured
SREBench (Vals AI)Not measured9.5%Only GPT-5.6 Terra measured
Finance Agent (Vals AI)56.3%54.4%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%30.0%GPT-5.6 Terra
Legal Research Bench (Vals AI)25.0%41.4%GPT-5.6 Terra
Excel Modeling Benchmark (Vals AI)65.4%66.2%GPT-5.6 Terra
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%10.0%GPT-5.6 Terra
τ²-Bench TelecomNot measured86.3%Only GPT-5.6 Terra measured
APEX-Agents46.9%58.2%GPT-5.6 Terra
BALROGNot measured53.2%Only GPT-5.6 Terra measured
Vending-Bench 2Not measured$7,343Only GPT-5.6 Terra measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index86
Reasoning benchmarks for Gemini 3.6 Flash and GPT-5.6 Terra
BenchmarkGemini 3.6 FlashGPT-5.6 TerraLeader
GPQA Diamond93.4%90.9%Gemini 3.6 Flash
LiveBench reasoningNot measured90.6%Only GPT-5.6 Terra measured
MMMU Pro (Vals AI)88.4%86.5%Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)92.8%92.5%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%42.9%GPT-5.6 Terra
GPQA Diamond (Epoch AI run)94.1%93.3%Gemini 3.6 Flash
ARC-AGI91.2%96.5%GPT-5.6 Terra
ARC-AGI-260.4%83.9%GPT-5.6 Terra
SimpleBenchNot measured48.9%Only GPT-5.6 Terra measured
Chess puzzles42.0%47.0%GPT-5.6 Terra
Mystery game puzzles30.0%35.0%GPT-5.6 Terra
LMArena Text: hard prompts14861469Gemini 3.6 Flash
LMArena Text: expert14901496GPT-5.6 Terra
LMArena Text: hard prompts in English14841465Gemini 3.6 Flash
LMArena Vision: diagrams13141295Gemini 3.6 Flash
LMArena Vision: homework13141312Gemini 3.6 Flash
Kagi LLM BenchmarkNot measured51.3%Only GPT-5.6 Terra measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Gemini 3.6 Flash and GPT-5.6 Terra
BenchmarkGemini 3.6 FlashGPT-5.6 TerraLeader
OTIS Mock AIME94.2%99.7%GPT-5.6 Terra
FrontierMath, tiers 1 to 358.9%86.0%GPT-5.6 Terra
FrontierMath, tier 422.0%70.7%GPT-5.6 Terra
ProofBench36.0%74.0%GPT-5.6 Terra
LMArena Text: math15081465Gemini 3.6 Flash
LMArena Text: mathematical work14921478Gemini 3.6 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index102
Knowledge benchmarks for Gemini 3.6 Flash and GPT-5.6 Terra
BenchmarkGemini 3.6 FlashGPT-5.6 TerraLeader
MMLU Pro89.3%86.7%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%85.1%Gemini 3.6 Flash
CorpFin (Vals AI)63.3%65.3%GPT-5.6 Terra
TaxEval (Vals AI)74.9%76.2%GPT-5.6 Terra
MortgageTax (Vals AI)67.6%67.3%Gemini 3.6 Flash
MedCode (Vals AI)53.1%43.4%Gemini 3.6 Flash
SimpleQA Verified66.2%43.2%Gemini 3.6 Flash
LMArena Text: science14891452Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691430Gemini 3.6 Flash
LMArena Text: legal and government14791461Gemini 3.6 Flash
LMArena Text: business and finance14641448Gemini 3.6 Flash
FACTS Benchmark Suite65.3%52.0%Gemini 3.6 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Gemini 3.6 Flash and GPT-5.6 Terra
BenchmarkGemini 3.6 FlashGPT-5.6 TerraLeader
Design Arena: websites13001268Gemini 3.6 Flash
Design Arena: UI components12941256Gemini 3.6 Flash
Design Arena: game dev12631229Gemini 3.6 Flash
Design Arena: data viz12891240Gemini 3.6 Flash
Design Arena: 3D12711134Gemini 3.6 Flash
Design Arena: all code categories12891241Gemini 3.6 Flash
Design Arena: SVGNot measured1219Only GPT-5.6 Terra measured
Design Arena: ASCII art12811177Gemini 3.6 Flash
LiveBench designNot measured76.0%Only GPT-5.6 Terra measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index266
General benchmarks for Gemini 3.6 Flash and GPT-5.6 Terra
BenchmarkGemini 3.6 FlashGPT-5.6 TerraLeader
LiveBench data analysisNot measured79.3%Only GPT-5.6 Terra measured
Public Benefits Bench (Vals AI)56.6%62.4%GPT-5.6 Terra
SAGE (Vals AI)48.7%47.0%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%82.9%GPT-5.6 Terra
Vals Multimodal Index65.1%65.1%Gemini 3.6 Flash
IFBenchNot measured71.2%Only GPT-5.6 Terra measured
Long context reasoning (AA-LCR)80.0%83.0%GPT-5.6 Terra
DTBench95.5%93.3%Gemini 3.6 Flash
LMCA44.9%54.9%GPT-5.6 Terra
Surface Evolver BenchNot measured83.8%Only GPT-5.6 Terra measured
Furniture assembly23.3%54.2%GPT-5.6 Terra
LMArena Text14801448Gemini 3.6 Flash
LMArena Text: instruction following14671456Gemini 3.6 Flash
LMArena Text: creative writing14661413Gemini 3.6 Flash
LMArena Vision12991271Gemini 3.6 Flash
LMArena Text: English14821449Gemini 3.6 Flash
LMArena Text: non-English14701441Gemini 3.6 Flash
LMArena Text: Chinese15311514Gemini 3.6 Flash
LMArena Text: German14801460Gemini 3.6 Flash
LMArena Text: Japanese14751454Gemini 3.6 Flash
LMArena Text: Korean14291427Gemini 3.6 Flash
LMArena Text: French15031466Gemini 3.6 Flash
LMArena Text: Spanish14761451Gemini 3.6 Flash
LMArena Text: Russian14881452Gemini 3.6 Flash
LMArena Text: Polish14731446Gemini 3.6 Flash
LMArena Text: multi-turn14811453Gemini 3.6 Flash
LMArena Text: longer queries14751454Gemini 3.6 Flash
LMArena Text: writing and language14701431Gemini 3.6 Flash
LMArena Text: entertainment and media14561418Gemini 3.6 Flash
LMArena Vision: English12951272Gemini 3.6 Flash
LMArena Vision: Chinese13571337Gemini 3.6 Flash
LMArena Vision: reading text13121278Gemini 3.6 Flash
LMArena Vision: humor12891236Gemini 3.6 Flash
LMArena Vision: creative writing12781248Gemini 3.6 Flash
LMArena Document14561472GPT-5.6 Terra
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.6 Flash and GPT-5.6 Terra
BenchmarkGemini 3.6 FlashGPT-5.6 TerraLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.6 Flash$0.0026Fits in one request
GPT-5.6 Terra$0.0080Fits in one request

Gemini 3.6 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
GPT-5.6 Terra$0.136Fits in one request

Gemini 3.6 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
GPT-5.6 Terra$0.520Fits in one request

Gemini 3.6 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.6 Flash and GPT-5.6 Terra
SpecificationGoogle Gemini 3.6 FlashOpenAI GPT-5.6 Terra
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026July 9, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$2.00
Output $/Mtok$3.75$12.00
Coding index62.563.9
Independent measurements behind it46
Cost per solved task$1.49$0.42
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than GPT-5.6 Terra for coding?

Gemini 3.6 Flash and GPT-5.6 Terra are level for coding, 62.5 against 63.9 on the Vibe Coding Index, so price and context decide. Pick Gemini 3.6 Flash for output tokens 3.2x cheaper ($3.75 vs $12.00 per million) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads. Pick GPT-5.6 Terra for a lower cost per solved task ($0.42 against $1.49) and a larger context window (1.05M against 1.05M tokens).

Which is cheaper, Gemini 3.6 Flash or GPT-5.6 Terra?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-5.6 Terra costs $2.00 and $12.00. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and GPT-5.6 Terra $0.42.

Which has the bigger context window, Gemini 3.6 Flash or GPT-5.6 Terra?

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

How many benchmarks is the Gemini 3.6 Flash vs GPT-5.6 Terra comparison based on?

107 benchmarks have a result for both models as of October 22, 2026. Gemini 3.6 Flash's coding index rests on 4 independent benchmarks and GPT-5.6 Terra's on 6. Where only one model has a result, the page says so instead of naming a winner.

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