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Gemini 3.1 Flash Lite Preview vs GPT-5.6 Terra

GPT-5.6 Terra leads Gemini 3.1 Flash Lite Preview on coding, 63.9 to 22.7 on the Vibe Coding Index, and Gemini 3.1 Flash Lite Preview costs 8.0x less per output token ($1.50 vs $12.00 per million). Updated October 22, 2026; 75 benchmarks have a result for both.

Replace Gemini 3.1 Flash Lite Preview Replace GPT-5.6 Terra
Gemini 3.1 Flash Lite PreviewGoogle
Coding
22.7
Overall
36.6
Output $/M
$1.50
4
GPT-5.6 TerraOpenAI
Coding
63.9
Overall
68.1
Output $/M
$12.00
71
vs boards won of 75 shared

Gemini 3.1 Flash Lite Preview or GPT-5.6 Terra: which to pick

Pick GPT-5.6 Terra for coding: it scores 63.9 on the Vibe Coding Index against 22.7 for Gemini 3.1 Flash Lite Preview.

Pick Gemini 3.1 Flash Lite Preview for output tokens 8.0x cheaper ($1.50 vs $12.00 per million) and a lower cost per solved task ($0.18 against $0.42).

Model AGemini 3.1 Flash Lite PreviewGoogle22.7/1003 independent benchmarks$0.18 per solved taskModel BGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved task
Shared results
75
Gemini 3.1 Flash Lite Preview only
4
GPT-5.6 Terra only
52
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 3.1 Flash Lite Preview 22.7 from 3 benchmarks, GPT-5.6 Terra 63.9 from 6 benchmarks.
Widest category
Agentic work, 37.7 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.1 Flash Lite Preview 0.0% against GPT-5.6 Terra 74.6%, 74.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.1 Flash Lite Preview $1.50 against GPT-5.6 Terra $12.00 per million output tokens, 8.0x apart.
Context window
Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite PreviewBarsGPT-5.6 TerraTies
Coding015
Intelligence01
Agentic work05
Reasoning07
Math02
Knowledge29
Web design08
General224
All shared boards471
CodingLike-for-likeSix of these boards feed the Vibe Coding Index015
Coding benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.6 Terra
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.6 TerraLeader
LiveBench codingNot measured86.2%Only GPT-5.6 Terra measured
LMArena WebDev12571522GPT-5.6 Terra
AA Coding Index34.776.7GPT-5.6 Terra
LiveCodeBench (Vals AI)80.1%85.9%GPT-5.6 Terra
SWE-bench Verified (Vals AI)62.8%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)0.0%74.6%GPT-5.6 Terra
Code migration (Vals AI)4.6%47.8%GPT-5.6 Terra
ProgramBench (Vals AI)0.0%0.5%GPT-5.6 Terra
IOI (Vals AI)Not measured87.6%Only GPT-5.6 Terra measured
Terminal-Bench 2.1 (Vals AI)34.1%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)Not measured72.1%Only GPT-5.6 Terra measured
SciCodeNot measured55.0%Only GPT-5.6 Terra measured
Terminal-Bench Hard (Artificial Analysis run)Not measured62.9%Only GPT-5.6 Terra measured
FrontierCodeNot measured41.3%Only GPT-5.6 Terra measured
WeirdMLNot measured78.3%Only GPT-5.6 Terra measured
ALE-Bench797.71951.4GPT-5.6 Terra
LMArena Text: coding14001485GPT-5.6 Terra
LMArena Text: software and IT14131482GPT-5.6 Terra
LMArena WebDev: React12451513GPT-5.6 Terra
LMArena WebDev: HTML12761526GPT-5.6 Terra
LMArena WebDev: from an image13361541GPT-5.6 Terra
SciCode4.6%10.8%GPT-5.6 Terra
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.6 Terra
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.6 TerraLeader
AA Intelligence Index15.642.1GPT-5.6 Terra
Epoch Capabilities IndexNot measured160.1Only GPT-5.6 Terra measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.6 Terra
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.6 TerraLeader
AA Agentic Index1.643.2GPT-5.6 Terra
Design Arena: agents building web appsNot measured1120Only GPT-5.6 Terra measured
Design Arena: agents building full-stack appsNot measured1061Only GPT-5.6 Terra measured
Design Arena: agents building mobile appsNot measured1111Only GPT-5.6 Terra measured
Design Arena: agents building Android appsNot measured1062Only GPT-5.6 Terra measured
Design Arena: agents building gamesNot measured1083Only GPT-5.6 Terra measured
Design Arena: HTML slidesNot measured1058Only GPT-5.6 Terra measured
Design Arena: PowerPoint slidesNot measured1105Only GPT-5.6 Terra 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)30.0%54.4%GPT-5.6 Terra
Tax Agent Bench (Vals AI)3.1%30.0%GPT-5.6 Terra
Legal Research Bench (Vals AI)3.4%41.4%GPT-5.6 Terra
Excel Modeling Benchmark (Vals AI)8.6%66.2%GPT-5.6 Terra
Terminal-Bench-Science (Vals AI)Not measured10.0%Only GPT-5.6 Terra measured
τ²-Bench TelecomNot measured86.3%Only GPT-5.6 Terra measured
APEX-AgentsNot measured58.2%Only GPT-5.6 Terra measured
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 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.6 Terra
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.6 TerraLeader
GPQA Diamond81.1%90.9%GPT-5.6 Terra
LiveBench reasoningNot measured90.6%Only GPT-5.6 Terra measured
MMMU Pro (Vals AI)82.5%86.5%GPT-5.6 Terra
GPQA Diamond (Artificial Analysis run)Not measured92.5%Only GPT-5.6 Terra measured
Humanity's Last Exam (Artificial Analysis run)Not measured42.9%Only GPT-5.6 Terra measured
GPQA Diamond (Epoch AI run)Not measured93.3%Only GPT-5.6 Terra measured
ARC-AGINot measured96.5%Only GPT-5.6 Terra measured
ARC-AGI-2Not measured83.9%Only GPT-5.6 Terra measured
SimpleBenchNot measured48.9%Only GPT-5.6 Terra measured
Chess puzzlesNot measured47.0%Only GPT-5.6 Terra measured
Mystery game puzzlesNot measured35.0%Only GPT-5.6 Terra measured
LMArena Text: hard prompts14071469GPT-5.6 Terra
LMArena Text: expert13981496GPT-5.6 Terra
LMArena Text: hard prompts in English14031465GPT-5.6 Terra
LMArena Vision: diagrams12421295GPT-5.6 Terra
LMArena Vision: homework12711312GPT-5.6 Terra
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 index02
Math benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.6 Terra
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.6 TerraLeader
AIME83.3%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
OTIS Mock AIMENot measured99.7%Only GPT-5.6 Terra measured
FrontierMath, tiers 1 to 3Not measured86.0%Only GPT-5.6 Terra measured
FrontierMath, tier 4Not measured70.7%Only GPT-5.6 Terra measured
ProofBenchNot measured74.0%Only GPT-5.6 Terra measured
LMArena Text: math14281465GPT-5.6 Terra
LMArena Text: mathematical work14171478GPT-5.6 Terra
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index29
Knowledge benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.6 Terra
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.6 TerraLeader
MMLU Pro86.2%86.7%GPT-5.6 Terra
LegalBench (Vals AI)83.8%85.1%GPT-5.6 Terra
CaseLaw (Vals AI)55.0%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
CorpFin (Vals AI)59.4%65.3%GPT-5.6 Terra
TaxEval (Vals AI)71.8%76.2%GPT-5.6 Terra
MortgageTax (Vals AI)68.0%67.3%Gemini 3.1 Flash Lite Preview
MedCode (Vals AI)47.6%43.4%Gemini 3.1 Flash Lite Preview
SimpleQA VerifiedNot measured43.2%Only GPT-5.6 Terra measured
LMArena Text: science14251452GPT-5.6 Terra
LMArena Text: medicine and healthcare14281430GPT-5.6 Terra
LMArena Text: legal and government14181461GPT-5.6 Terra
LMArena Text: business and finance13891448GPT-5.6 Terra
FACTS Benchmark Suite51.4%52.0%GPT-5.6 Terra
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.6 Terra
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.6 TerraLeader
Design Arena: websites10821268GPT-5.6 Terra
Design Arena: UI components10691256GPT-5.6 Terra
Design Arena: game dev10291229GPT-5.6 Terra
Design Arena: data viz10451240GPT-5.6 Terra
Design Arena: 3D10471134GPT-5.6 Terra
Design Arena: all code categories10721241GPT-5.6 Terra
Design Arena: SVG10521219GPT-5.6 Terra
Design Arena: ASCII art11671177GPT-5.6 Terra
LiveBench designNot measured76.0%Only GPT-5.6 Terra measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index224
General benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.6 Terra
BenchmarkGemini 3.1 Flash Lite PreviewGPT-5.6 TerraLeader
LiveBench data analysisNot measured79.3%Only GPT-5.6 Terra measured
Public Benefits Bench (Vals AI)Not measured62.4%Only GPT-5.6 Terra measured
SAGE (Vals AI)49.5%47.0%Gemini 3.1 Flash Lite Preview
MedScribe (Vals AI)63.9%82.9%GPT-5.6 Terra
Vals Multimodal Index41.4%65.1%GPT-5.6 Terra
IFBenchNot measured71.2%Only GPT-5.6 Terra measured
Long context reasoning (AA-LCR)Not measured83.0%Only GPT-5.6 Terra measured
DTBenchNot measured93.3%Only GPT-5.6 Terra measured
LMCANot measured54.9%Only GPT-5.6 Terra measured
Surface Evolver BenchNot measured83.8%Only GPT-5.6 Terra measured
Furniture assemblyNot measured54.2%Only GPT-5.6 Terra measured
LMArena Text14161448GPT-5.6 Terra
LMArena Text: instruction following13771456GPT-5.6 Terra
LMArena Text: creative writing14011413GPT-5.6 Terra
LMArena Vision12401271GPT-5.6 Terra
LMArena Text: English14141449GPT-5.6 Terra
LMArena Text: non-English14101441GPT-5.6 Terra
LMArena Text: Chinese14601514GPT-5.6 Terra
LMArena Text: German14301460GPT-5.6 Terra
LMArena Text: Japanese14131454GPT-5.6 Terra
LMArena Text: Korean13921427GPT-5.6 Terra
LMArena Text: French14241466GPT-5.6 Terra
LMArena Text: Spanish14211451GPT-5.6 Terra
LMArena Text: Russian14201452GPT-5.6 Terra
LMArena Text: Polish14431446GPT-5.6 Terra
LMArena Text: multi-turn14171453GPT-5.6 Terra
LMArena Text: longer queries13941454GPT-5.6 Terra
LMArena Text: writing and language14081431GPT-5.6 Terra
LMArena Text: entertainment and media13861418GPT-5.6 Terra
LMArena Vision: English12321272GPT-5.6 Terra
LMArena Vision: Chinese12781337GPT-5.6 Terra
LMArena Vision: reading text12461278GPT-5.6 Terra
LMArena Vision: humor12661236Gemini 3.1 Flash Lite Preview
LMArena Vision: captioning1259Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Vision: recognizing things1308Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Vision: creative writing12481248GPT-5.6 Terra
LMArena DocumentNot measured1472Only GPT-5.6 Terra measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.1 Flash Lite Preview and GPT-5.6 Terra
BenchmarkGemini 3.1 Flash Lite PreviewGPT-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 3.1 Flash Lite Preview$0.0010Fits in one request
GPT-5.6 Terra$0.0080Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Flash Lite Preview$0.017Fits in one request
GPT-5.6 Terra$0.136Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Flash Lite Preview$0.065Fits in one request
GPT-5.6 Terra$0.520Fits in one request

Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview and GPT-5.6 Terra
SpecificationGoogle Gemini 3.1 Flash Lite PreviewOpenAI GPT-5.6 Terra
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 3, 2026July 9, 2026
Context window1.05M1.05M
Input $/Mtok$0.25$2.00
Output $/Mtok$1.50$12.00
Coding index22.763.9
Independent measurements behind it36
Cost per solved task$0.18$0.42
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Flash Lite Preview better than GPT-5.6 Terra for coding?

Pick GPT-5.6 Terra for coding: it scores 63.9 on the Vibe Coding Index against 22.7 for Gemini 3.1 Flash Lite Preview. Pick Gemini 3.1 Flash Lite Preview for output tokens 8.0x cheaper ($1.50 vs $12.00 per million) and a lower cost per solved task ($0.18 against $0.42).

Which is cheaper, Gemini 3.1 Flash Lite Preview or GPT-5.6 Terra?

Gemini 3.1 Flash Lite Preview costs $0.25 per million input tokens and $1.50 per million output tokens; GPT-5.6 Terra costs $2.00 and $12.00. Per solved SWE-bench Verified task, Gemini 3.1 Flash Lite Preview costs $0.18 and GPT-5.6 Terra $0.42.

Which has the bigger context window, Gemini 3.1 Flash Lite Preview or GPT-5.6 Terra?

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

How many benchmarks is the Gemini 3.1 Flash Lite Preview vs GPT-5.6 Terra comparison based on?

75 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Flash Lite Preview's coding index rests on 3 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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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-1-flash-lite-preview-vs-gpt-5-6-terra" title="Gemini 3.1 Flash Lite Preview vs GPT-5.6 Terra, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-1-flash-lite-preview-vs-gpt-5-6-terra">LLMBenchmark.ai, Gemini 3.1 Flash Lite Preview vs GPT-5.6 Terra</a></p>