Gemini 3.6 Flash vs GPT-6.1 Terra

GPT-6.1 Terra leads Gemini 3.6 Flash on coding, 77.4 to 62.5 on the Vibe Coding Index, and Gemini 3.6 Flash costs 1.3x less per output token ($3.75 vs $5.00 per million). Updated October 29, 2026; 22 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GPT-6.1 Terra

Gemini 3.6 FlashGoogle

Coding: 62.5
Overall: 72.5
Output $/M: $3.75

GPT-6.1 TerraOpenAI

Coding: 77.4
Overall: 76.8
Output $/M: $5.00

vs boards won of 22 shared

Gemini 3.6 Flash or GPT-6.1 Terra: which to pick

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash for output tokens 1.3x cheaper ($3.75 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI) or SimpleQA Verified, where it leads.

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved task Model BGPT-6.1 TerraOpenAI77.4/1004 independent benchmarksNo cost per solved task

228614

Shared results: 22
Gemini 3.6 Flash only: 86
GPT-6.1 Terra only: 14
Like-for-like categories: 7 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.

Coding
Vibe Coding Index, six public coding benchmarks
GPT-6.1 Terra
GPT-6.1 Terra scores 77.4 against 62.5.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only GPT-6.1 Terra has a AA Intelligence Index result, 51.0.
Directional only
Agentic work
AA Agentic Index
No call
Only Gemini 3.6 Flash has a AA Agentic Index result, 29.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.6 Flash has a GPQA Diamond result, 93.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.6 Flash has a MMLU Pro result, 89.3%.
Directional only
Web design
Design Arena: websites
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 1299 against 1283.
Same board, both measured
General
Vals Index
No call
Only GPT-6.1 Terra has a Vals Index result, 60.5%.
Directional only
Long documents
Listed context window
GPT-6.1 Terra
GPT-6.1 Terra takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.6 Flash
Gemini 3.6 Flash $0.0026, GPT-6.1 Terra $0.0035 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.6 Flash has the number, $1.49.
Directional only

At a glance

Coding index: Gemini 3.6 Flash 62.5 from 4 benchmarks, GPT-6.1 Terra 77.4 from 4 benchmarks.
Widest category: Math, 36.2 points apart on average over 3 shared benchmarks.
Widest single gap: FrontierMath, tier 4: Gemini 3.6 Flash 22.0% against GPT-6.1 Terra 92.7%, 70.7 points apart on a 0 to 100 scale.
Output price: Gemini 3.6 Flash $3.75 against GPT-6.1 Terra $5.00 per million output tokens, 1.3x apart.
Context window: Gemini 3.6 Flash takes 1.05M tokens, GPT-6.1 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
Category	Gemini 3.6 Flash	GPT-6.1 Terra
Coding	0	6
Agentic work	1	2
Reasoning	0	3
Math	0	3
Knowledge	1	0
Web design	2	2
General	0	2
All shared boards	4	18

CodingLike-for-likeSix of these boards feed the Vibe Coding Index06

Coding benchmarks for Gemini 3.6 Flash and GPT-6.1 Terra
Benchmark	Gemini 3.6 Flash	GPT-6.1 Terra	Leader
LiveBench coding	Not measured	94.3%	Only GPT-6.1 Terra measured
LMArena WebDev	1538	1673	GPT-6.1 Terra
AA Coding Index	69.2	Not measured	Only Gemini 3.6 Flash measured
LiveCodeBench (Vals AI)	88.1%	Not measured	Only Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)	79.6%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench 4 (Vals AI)	Not measured	49.5%	Only GPT-6.1 Terra measured
Vibe Code Bench (Vals AI)	64.0%	84.0%	GPT-6.1 Terra
Code migration (Vals AI)	30.9%	Not measured	Only Gemini 3.6 Flash measured
ProgramBench (Vals AI)	0.0%	Not measured	Only Gemini 3.6 Flash measured
IOI (Vals AI)	35.1%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)	73.8%	Not measured	Only Gemini 3.6 Flash measured
CyberBench (Vals AI)	45.4%	Not measured	Only Gemini 3.6 Flash measured
SciCode	53.4%	55.1%	GPT-6.1 Terra
FrontierCode	34.4%	Not measured	Only Gemini 3.6 Flash measured
WeirdML	56.1%	Not measured	Only Gemini 3.6 Flash measured
ALE-Bench	715.5	2608.8	GPT-6.1 Terra
LMArena Text: coding	1491	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: software and IT	1492	Not measured	Only Gemini 3.6 Flash measured
LMArena WebDev: React	1527	1657	GPT-6.1 Terra
LMArena WebDev: HTML	1547	1719	GPT-6.1 Terra
LMArena WebDev: from an image	1545	Not measured	Only Gemini 3.6 Flash measured
SciCode	10.8%	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 21 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared

Intelligence benchmarks for Gemini 3.6 Flash and GPT-6.1 Terra
Benchmark	Gemini 3.6 Flash	GPT-6.1 Terra	Leader
AA Intelligence Index	Not measured	51.0	Only GPT-6.1 Terra measured
Epoch Capabilities Index	154.5	Not measured	Only Gemini 3.6 Flash measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index12

Agentic work benchmarks for Gemini 3.6 Flash and GPT-6.1 Terra
Benchmark	Gemini 3.6 Flash	GPT-6.1 Terra	Leader
AA Agentic Index	29.0	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building web apps	1197	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps	1181	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building mobile apps	1197	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building Android apps	1200	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building games	1142	Not measured	Only Gemini 3.6 Flash measured
Design Arena: HTML slides	1045	Not measured	Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slides	1098	Not measured	Only Gemini 3.6 Flash measured
Design Arena: spreadsheets	1076	Not measured	Only Gemini 3.6 Flash measured
LiveBench research	Not measured	73.9%	Only GPT-6.1 Terra measured
LiveBench browser	Not measured	93.1%	Only GPT-6.1 Terra measured
LiveBench long agentic	Not measured	48.6%	Only GPT-6.1 Terra measured
Finance Agent (Vals AI)	56.3%	Not measured	Only Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)	18.0%	15.2%	Gemini 3.6 Flash
Legal Research Bench (Vals AI)	25.0%	26.0%	GPT-6.1 Terra
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	1.7%	Only GPT-6.1 Terra measured
Excel Modeling Benchmark (Vals AI)	65.4%	Not measured	Only Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)	58.5%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)	4.3%	Not measured	Only Gemini 3.6 Flash measured
APEX-Agents	46.9%	68.3%	GPT-6.1 Terra
Neither model has a result on the other 22 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index03

Reasoning benchmarks for Gemini 3.6 Flash and GPT-6.1 Terra
Benchmark	Gemini 3.6 Flash	GPT-6.1 Terra	Leader
GPQA Diamond	93.4%	Not measured	Only Gemini 3.6 Flash measured
LiveBench reasoning	Not measured	88.7%	Only GPT-6.1 Terra measured
MMMU Pro (Vals AI)	88.4%	Not measured	Only Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)	92.8%	Not measured	Only Gemini 3.6 Flash measured
Humanity's Last Exam (Artificial Analysis run)	40.8%	46.2%	GPT-6.1 Terra
GPQA Diamond (Epoch AI run)	94.1%	94.3%	GPT-6.1 Terra
ARC-AGI	91.2%	Not measured	Only Gemini 3.6 Flash measured
ARC-AGI-2	60.4%	Not measured	Only Gemini 3.6 Flash measured
Chess puzzles	42.0%	Not measured	Only Gemini 3.6 Flash measured
Mystery game puzzles	30.0%	74.0%	GPT-6.1 Terra
EBR-bench	Not measured	78.1%	Only GPT-6.1 Terra measured
LMArena Text: hard prompts	1486	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: expert	1490	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: hard prompts in English	1485	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: diagrams	1314	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: homework	1314	Not measured	Only Gemini 3.6 Flash measured
Humanity's Last Exam (Scale run)	Not measured	35.7%	Only GPT-6.1 Terra measured
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index03

Math benchmarks for Gemini 3.6 Flash and GPT-6.1 Terra
Benchmark	Gemini 3.6 Flash	GPT-6.1 Terra	Leader
OTIS Mock AIME	94.2%	100.0%	GPT-6.1 Terra
FrontierMath, tiers 1 to 3	58.9%	90.9%	GPT-6.1 Terra
FrontierMath, tier 4	22.0%	92.7%	GPT-6.1 Terra
ProofBench	36.0%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: math	1507	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: mathematical work	1491	Not measured	Only Gemini 3.6 Flash measured
MathArena	23.7%	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10

Knowledge benchmarks for Gemini 3.6 Flash and GPT-6.1 Terra
Benchmark	Gemini 3.6 Flash	GPT-6.1 Terra	Leader
MMLU Pro	89.3%	Not measured	Only Gemini 3.6 Flash measured
LegalBench (Vals AI)	86.7%	Not measured	Only Gemini 3.6 Flash measured
CorpFin (Vals AI)	63.3%	Not measured	Only Gemini 3.6 Flash measured
TaxEval (Vals AI)	74.9%	Not measured	Only Gemini 3.6 Flash measured
MortgageTax (Vals AI)	67.6%	Not measured	Only Gemini 3.6 Flash measured
MedCode (Vals AI)	53.1%	Not measured	Only Gemini 3.6 Flash measured
SimpleQA Verified	66.2%	57.3%	Gemini 3.6 Flash
LMArena Text: science	1488	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: medicine and healthcare	1468	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: legal and government	1479	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: business and finance	1464	Not measured	Only Gemini 3.6 Flash measured
FACTS Benchmark Suite	63.1%	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 8 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index22

Web design benchmarks for Gemini 3.6 Flash and GPT-6.1 Terra
Benchmark	Gemini 3.6 Flash	GPT-6.1 Terra	Leader
Design Arena: websites	1299	1283	Gemini 3.6 Flash
Design Arena: UI components	1292	1277	Gemini 3.6 Flash
Design Arena: game dev	1262	1348	GPT-6.1 Terra
Design Arena: data viz	1291	Not measured	Only Gemini 3.6 Flash measured
Design Arena: 3D	1269	Not measured	Only Gemini 3.6 Flash measured
Design Arena: all code categories	1289	1295	GPT-6.1 Terra
Design Arena: ASCII art	1277	Not measured	Only Gemini 3.6 Flash measured
LiveBench design	Not measured	82.3%	Only GPT-6.1 Terra measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index02

General benchmarks for Gemini 3.6 Flash and GPT-6.1 Terra
Benchmark	Gemini 3.6 Flash	GPT-6.1 Terra	Leader
Vals Index	Not measured	60.5%	Only GPT-6.1 Terra measured
LiveBench data analysis	Not measured	82.3%	Only GPT-6.1 Terra measured
Public Benefits Bench (Vals AI)	56.6%	Not measured	Only Gemini 3.6 Flash measured
MedScribe (Vals AI)	79.7%	Not measured	Only Gemini 3.6 Flash measured
Vals Multimodal Index	65.1%	Not measured	Only Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)	80.0%	82.7%	GPT-6.1 Terra
DTBench	95.5%	Not measured	Only Gemini 3.6 Flash measured
LMCA	44.9%	Not measured	Only Gemini 3.6 Flash measured
Furniture assembly	23.3%	79.2%	GPT-6.1 Terra
LMArena Text	1480	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: instruction following	1467	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: creative writing	1466	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision	1299	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: English	1482	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: non-English	1470	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: Chinese	1531	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: German	1478	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: Japanese	1476	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: Korean	1430	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: French	1504	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: Spanish	1476	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: Russian	1489	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: Polish	1475	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: multi-turn	1481	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: longer queries	1475	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: writing and language	1470	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: entertainment and media	1456	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: English	1295	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: Chinese	1357	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: reading text	1312	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: humor	1289	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: creative writing	1278	Not measured	Only Gemini 3.6 Flash measured
LMArena Document	1456	Not measured	Only Gemini 3.6 Flash measured
MultiChallenge	Not measured	74.2%	Only GPT-6.1 Terra measured
Neither model has a result on the other 14 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-6.1 Terra
Benchmark	Gemini 3.6 Flash	GPT-6.1 Terra	Leader
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-6.1 Terra$0.0035Fits 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-6.1 Terra$0.065Fits 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-6.1 Terra$0.250Fits 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-6.1 Terra
Specification	Google Gemini 3.6 Flash	OpenAI GPT-6.1 Terra
Maker	Google	OpenAI
Weights	No public weights listed	No public weights listed
Released	July 21, 2026	October 26, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.75	$1.00
Output $/Mtok	$3.75	$5.00
Coding index	62.5	77.4
Independent measurements behind it	4	4
Cost per solved task	$1.49	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.6 Flash better than GPT-6.1 Terra for coding?

Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash for output tokens 1.3x cheaper ($3.75 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI) or SimpleQA Verified, where it leads.

Which is cheaper, Gemini 3.6 Flash or GPT-6.1 Terra?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-6.1 Terra costs $1.00 and $5.00. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or GPT-6.1 Terra?

GPT-6.1 Terra, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.6 Flash vs GPT-6.1 Terra comparison based on?

22 benchmarks have a result for both models as of October 29, 2026. Gemini 3.6 Flash's coding index rests on 4 independent benchmarks and GPT-6.1 Terra's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-6-flash-vs-gpt-6-1-terra">LLMBenchmark.ai, Gemini 3.6 Flash vs GPT-6.1 Terra</a></p>

Gemini 3.6 Flash or GPT-6.1 Terra: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

General

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next