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Gemini 2.5 Pro vs GPT-5.6 Terra

GPT-5.6 Terra leads Gemini 2.5 Pro on coding, 63.9 to 19.1 on the Vibe Coding Index, and Gemini 2.5 Pro costs 1.2x less per output token ($10.00 vs $12.00 per million). Updated October 22, 2026; 76 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace GPT-5.6 Terra
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
22
GPT-5.6 TerraOpenAI
Coding
63.9
Overall
68.1
Output $/M
$12.00
54
vs boards won of 76 shared

Gemini 2.5 Pro 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 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for output tokens 1.2x cheaper ($10.00 vs $12.00 per million) and work measured by Kagi LLM Benchmark or MortgageTax (Vals AI), where it leads.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved task
Shared results
76
Gemini 2.5 Pro only
14
GPT-5.6 Terra only
51
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 2.5 Pro 19.1 from 3 benchmarks, GPT-5.6 Terra 63.9 from 6 benchmarks.
Widest category
Agentic work, 38.7 points apart on average over 3 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 2.5 Pro 4.9% against GPT-5.6 Terra 83.9%, 79.0 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against GPT-5.6 Terra $12.00 per million output tokens, 1.2x apart.
Context window
Gemini 2.5 Pro 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 2.5 ProBarsGPT-5.6 TerraTies
Coding011
Intelligence02
Agentic work03
Reasoning110
Math05
Knowledge62
Web design06
General1515
All shared boards2254
CodingLike-for-likeSix of these boards feed the Vibe Coding Index011
Coding benchmarks for Gemini 2.5 Pro and GPT-5.6 Terra
BenchmarkGemini 2.5 ProGPT-5.6 TerraLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LiveBench codingNot measured86.2%Only GPT-5.6 Terra measured
LMArena WebDev12261522GPT-5.6 Terra
AA Coding Index33.376.7GPT-5.6 Terra
LiveCodeBench (Vals AI)Not measured85.9%Only GPT-5.6 Terra measured
SWE-bench Verified (Vals AI)54.4%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)0.4%74.6%GPT-5.6 Terra
Code migration (Vals AI)Not measured47.8%Only GPT-5.6 Terra measured
ProgramBench (Vals AI)Not measured0.5%Only GPT-5.6 Terra measured
IOI (Vals AI)Not measured87.6%Only GPT-5.6 Terra measured
Terminal-Bench 2.1 (Vals AI)Not measured77.5%Only GPT-5.6 Terra measured
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
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%55.0%GPT-5.6 Terra
Terminal-Bench Hard (Artificial Analysis run)26.5%62.9%GPT-5.6 Terra
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierCodeNot measured41.3%Only GPT-5.6 Terra measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%78.3%GPT-5.6 Terra
ALE-BenchNot measured1951.4Only GPT-5.6 Terra measured
LMArena Text: coding14521485GPT-5.6 Terra
LMArena Text: software and IT14591482GPT-5.6 Terra
LMArena WebDev: ReactNot measured1513Only GPT-5.6 Terra measured
LMArena WebDev: HTML12351526GPT-5.6 Terra
LMArena WebDev: from an image12851541GPT-5.6 Terra
SciCodeNot measured10.8%Only GPT-5.6 Terra measured
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and GPT-5.6 Terra
BenchmarkGemini 2.5 ProGPT-5.6 TerraLeader
AA Intelligence Index16.142.1GPT-5.6 Terra
Epoch Capabilities Index145.1160.1GPT-5.6 Terra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
Agentic work benchmarks for Gemini 2.5 Pro and GPT-5.6 Terra
BenchmarkGemini 2.5 ProGPT-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)Not measured54.4%Only GPT-5.6 Terra measured
Tax Agent Bench (Vals AI)Not measured30.0%Only GPT-5.6 Terra measured
Legal Research Bench (Vals AI)Not measured41.4%Only GPT-5.6 Terra measured
Excel Modeling Benchmark (Vals AI)Not measured66.2%Only GPT-5.6 Terra measured
Terminal-Bench-Science (Vals AI)Not measured10.0%Only GPT-5.6 Terra measured
τ²-Bench Telecom54.1%86.3%GPT-5.6 Terra
APEX-AgentsNot measured58.2%Only GPT-5.6 Terra measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
BALROGNot measured53.2%Only GPT-5.6 Terra measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574$7,343GPT-5.6 Terra
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for Gemini 2.5 Pro and GPT-5.6 Terra
BenchmarkGemini 2.5 ProGPT-5.6 TerraLeader
GPQA DiamondNot measured90.9%Only GPT-5.6 Terra measured
LiveBench reasoningNot measured90.6%Only GPT-5.6 Terra measured
MMMU Pro (Vals AI)Not measured86.5%Only GPT-5.6 Terra measured
GPQA Diamond (Artificial Analysis run)84.4%92.5%GPT-5.6 Terra
Humanity's Last Exam (Artificial Analysis run)22.5%42.9%GPT-5.6 Terra
GPQA Diamond (Epoch AI run)85.3%93.3%GPT-5.6 Terra
ARC-AGI41.0%96.5%GPT-5.6 Terra
ARC-AGI-24.9%83.9%GPT-5.6 Terra
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 prompts14551469GPT-5.6 Terra
LMArena Text: expert14521496GPT-5.6 Terra
LMArena Text: hard prompts in English14531465GPT-5.6 Terra
LMArena Vision: diagrams12741295GPT-5.6 Terra
LMArena Vision: homework12811312GPT-5.6 Terra
Kagi LLM Benchmark70.3%51.3%Gemini 2.5 Pro
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Gemini 2.5 Pro and GPT-5.6 Terra
BenchmarkGemini 2.5 ProGPT-5.6 TerraLeader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%99.7%GPT-5.6 Terra
FrontierMath, tiers 1 to 324.6%86.0%GPT-5.6 Terra
FrontierMath, tier 40.0%70.7%GPT-5.6 Terra
ProofBenchNot measured74.0%Only GPT-5.6 Terra measured
LMArena Text: math14501465GPT-5.6 Terra
LMArena Text: mathematical work14541478GPT-5.6 Terra
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index62
Knowledge benchmarks for Gemini 2.5 Pro and GPT-5.6 Terra
BenchmarkGemini 2.5 ProGPT-5.6 TerraLeader
MMLU ProNot measured86.7%Only GPT-5.6 Terra measured
LegalBench (Vals AI)Not measured85.1%Only GPT-5.6 Terra measured
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%65.3%GPT-5.6 Terra
TaxEval (Vals AI)Not measured76.2%Only GPT-5.6 Terra measured
MortgageTax (Vals AI)68.9%67.3%Gemini 2.5 Pro
MedCode (Vals AI)50.6%43.4%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
SimpleQA VerifiedNot measured43.2%Only GPT-5.6 Terra measured
LMArena Text: science14801452Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761430Gemini 2.5 Pro
LMArena Text: legal and government14801461Gemini 2.5 Pro
LMArena Text: business and finance14391448GPT-5.6 Terra
FACTS Benchmark Suite61.5%52.0%Gemini 2.5 Pro
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Gemini 2.5 Pro and GPT-5.6 Terra
BenchmarkGemini 2.5 ProGPT-5.6 TerraLeader
Design Arena: websites11671268GPT-5.6 Terra
Design Arena: UI components11371256GPT-5.6 Terra
Design Arena: game dev11111229GPT-5.6 Terra
Design Arena: data viz12221240GPT-5.6 Terra
Design Arena: 3D10801134GPT-5.6 Terra
Design Arena: all code categories11521241GPT-5.6 Terra
Design Arena: SVGNot measured1219Only GPT-5.6 Terra measured
Design Arena: ASCII artNot measured1177Only GPT-5.6 Terra measured
LiveBench designNot measured76.0%Only GPT-5.6 Terra measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index1515
General benchmarks for Gemini 2.5 Pro and GPT-5.6 Terra
BenchmarkGemini 2.5 ProGPT-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)41.9%47.0%GPT-5.6 Terra
MedScribe (Vals AI)73.5%82.9%GPT-5.6 Terra
Vals Multimodal IndexNot measured65.1%Only GPT-5.6 Terra measured
IFBench48.7%71.2%GPT-5.6 Terra
Long context reasoning (AA-LCR)69.0%83.0%GPT-5.6 Terra
DTBench82.4%93.3%GPT-5.6 Terra
LMCA34.8%54.9%GPT-5.6 Terra
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
Surface Evolver BenchNot measured83.8%Only GPT-5.6 Terra measured
Furniture assemblyNot measured54.2%Only GPT-5.6 Terra measured
LMArena Text14581448Gemini 2.5 Pro
LMArena Text: instruction following14371456GPT-5.6 Terra
LMArena Text: creative writing14541413Gemini 2.5 Pro
LMArena Vision12631271GPT-5.6 Terra
LMArena Text: English14581449Gemini 2.5 Pro
LMArena Text: non-English14521441Gemini 2.5 Pro
LMArena Text: Chinese15071514GPT-5.6 Terra
LMArena Text: German14871460Gemini 2.5 Pro
LMArena Text: Japanese14611454Gemini 2.5 Pro
LMArena Text: Korean14341427Gemini 2.5 Pro
LMArena Text: French14731466Gemini 2.5 Pro
LMArena Text: Spanish14741451Gemini 2.5 Pro
LMArena Text: Russian14611452Gemini 2.5 Pro
LMArena Text: Polish14791446Gemini 2.5 Pro
LMArena Text: multi-turn14531453GPT-5.6 Terra
LMArena Text: longer queries14491454GPT-5.6 Terra
LMArena Text: writing and language14541431Gemini 2.5 Pro
LMArena Text: entertainment and media14411418Gemini 2.5 Pro
LMArena Vision: English12611272GPT-5.6 Terra
LMArena Vision: Chinese13001337GPT-5.6 Terra
LMArena Vision: reading text12701278GPT-5.6 Terra
LMArena Vision: humor12621236Gemini 2.5 Pro
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing12651248Gemini 2.5 Pro
LMArena Document14211472GPT-5.6 Terra
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and GPT-5.6 Terra
BenchmarkGemini 2.5 ProGPT-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 2.5 Pro$0.0063Fits in one request
GPT-5.6 Terra$0.0080Fits in one request

Gemini 2.5 Pro costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
GPT-5.6 Terra$0.136Fits in one request

Gemini 2.5 Pro costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
GPT-5.6 Terra$0.520Fits in one request

Gemini 2.5 Pro 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 2.5 Pro and GPT-5.6 Terra
SpecificationGoogle Gemini 2.5 ProOpenAI GPT-5.6 Terra
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025July 9, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$2.00
Output $/Mtok$10.00$12.00
Coding index19.163.9
Independent measurements behind it36
Cost per solved task$0.64$0.42
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro 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 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for output tokens 1.2x cheaper ($10.00 vs $12.00 per million) and work measured by Kagi LLM Benchmark or MortgageTax (Vals AI), where it leads.

Which is cheaper, Gemini 2.5 Pro or GPT-5.6 Terra?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; GPT-5.6 Terra costs $2.00 and $12.00. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and GPT-5.6 Terra $0.42.

Which has the bigger context window, Gemini 2.5 Pro or GPT-5.6 Terra?

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

How many benchmarks is the Gemini 2.5 Pro vs GPT-5.6 Terra comparison based on?

76 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro'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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