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Gemini 3.6 Flash vs GPT-6 Astra

GPT-6 Astra leads Gemini 3.6 Flash on coding, 85.1 to 62.5 on the Vibe Coding Index, and Gemini 3.6 Flash costs 13.3x less per output token ($3.75 vs $50.00 per million). Updated October 22, 2026; 93 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GPT-6 Astra
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
36
GPT-6 AstraOpenAI
Coding
85.1
Overall
83.0
Output $/M
$50.00
57
vs boards won of 93 shared

Gemini 3.6 Flash or GPT-6 Astra: which to pick

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash for output tokens 13.3x cheaper ($3.75 vs $50.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: coding, where it leads.

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGPT-6 AstraOpenAI85.1/1005 independent benchmarksNo cost per solved task
Shared results
93
Gemini 3.6 Flash only
16
GPT-6 Astra only
28
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-6 Astra 85.1 from 5 benchmarks.
Widest category
Math, 31.3 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Gemini 3.6 Flash 22.0% against GPT-6 Astra 97.6%, 75.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against GPT-6 Astra $50.00 per million output tokens, 13.3x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, GPT-6 Astra 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-6 AstraTies
Coding315
Intelligence02
Agentic work112
Reasoning48
Math24
Knowledge52
Web design07
General217
All shared boards3657
CodingLike-for-likeSix of these boards feed the Vibe Coding Index315
Coding benchmarks for Gemini 3.6 Flash and GPT-6 Astra
BenchmarkGemini 3.6 FlashGPT-6 AstraLeader
LiveBench codingNot measured93.7%Only GPT-6 Astra measured
LMArena WebDev15381774GPT-6 Astra
AA Coding Index69.276.9GPT-6 Astra
LiveCodeBench (Vals AI)88.1%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 4 (Vals AI)Not measured59.6%Only GPT-6 Astra measured
Vibe Code Bench (Vals AI)64.0%89.6%GPT-6 Astra
Code migration (Vals AI)30.9%67.7%GPT-6 Astra
ProgramBench (Vals AI)0.0%5.5%GPT-6 Astra
IOI (Vals AI)35.1%100.0%GPT-6 Astra
Terminal-Bench 2.1 (Vals AI)73.8%87.3%GPT-6 Astra
SWE-bench Multimodal (Vals AI)Not measured43.3%Only GPT-6 Astra measured
Vibe Code Bench 1-100 (Vals AI)Not measured27.6%Only GPT-6 Astra measured
CyberBench (Vals AI)45.4%41.1%Gemini 3.6 Flash
SciCode53.4%56.5%GPT-6 Astra
FrontierCode34.4%53.3%GPT-6 Astra
FrontierSWENot measured65.5%Only GPT-6 Astra measured
GSO-BenchNot measured79.4%Only GPT-6 Astra measured
WeirdML56.1%93.3%GPT-6 Astra
MirrorCodeNot measured46.7%Only GPT-6 Astra measured
ALE-Bench715.52951.3GPT-6 Astra
LMArena Text: coding14911489Gemini 3.6 Flash
LMArena Text: software and IT14921474Gemini 3.6 Flash
LMArena WebDev: React15281798GPT-6 Astra
LMArena WebDev: HTML15471775GPT-6 Astra
LMArena WebDev: from an image15451726GPT-6 Astra
SciCode10.8%12.3%GPT-6 Astra
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.6 Flash and GPT-6 Astra
BenchmarkGemini 3.6 FlashGPT-6 AstraLeader
AA Intelligence Index34.052.7GPT-6 Astra
Epoch Capabilities Index154.5168.8GPT-6 Astra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index112
Agentic work benchmarks for Gemini 3.6 Flash and GPT-6 Astra
BenchmarkGemini 3.6 FlashGPT-6 AstraLeader
AA Agentic Index29.051.0GPT-6 Astra
Design Arena: agents building web apps11971373GPT-6 Astra
Design Arena: agents building full-stack apps11811357GPT-6 Astra
Design Arena: agents building mobile apps11981312GPT-6 Astra
Design Arena: agents building Android apps1204Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Godot gamesNot measured1348Only GPT-6 Astra measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1099Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides11211219GPT-6 Astra
Design Arena: spreadsheets10711365GPT-6 Astra
LiveBench researchNot measured85.2%Only GPT-6 Astra measured
LiveBench browserNot measured84.0%Only GPT-6 Astra measured
LiveBench long agenticNot measured82.4%Only GPT-6 Astra measured
SREBench (Vals AI)Not measured56.9%Only GPT-6 Astra measured
Finance Agent (Vals AI)56.3%53.5%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%20.7%GPT-6 Astra
Legal Research Bench (Vals AI)25.0%39.4%GPT-6 Astra
Harvey's Legal Agent Benchmark (Vals AI)Not measured7.1%Only GPT-6 Astra measured
Excel Modeling Benchmark (Vals AI)65.4%71.7%GPT-6 Astra
BioMysteryBench (Vals AI)58.5%79.3%GPT-6 Astra
Terminal-Bench-Science (Vals AI)4.3%62.9%GPT-6 Astra
Vals Science IndexNot measured65.1%Only GPT-6 Astra measured
Time Horizon Index (Vals AI)Not measured90.5%Only GPT-6 Astra measured
CUA-bench (Vals AI)Not measured19.2%Only GPT-6 Astra measured
Robo-bench (Vals AI)Not measured23.3%Only GPT-6 Astra measured
APEX-Agents46.9%64.7%GPT-6 Astra
Remote Labor IndexNot measured20.8%Only GPT-6 Astra measured
BALROGNot measured68.3%Only GPT-6 Astra measured
SpireClimbNot measured25.7%Only GPT-6 Astra measured
Vending-Bench 2Not measured$15,515Only GPT-6 Astra measured
Neither model has a result on the other 11 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index48
Reasoning benchmarks for Gemini 3.6 Flash and GPT-6 Astra
BenchmarkGemini 3.6 FlashGPT-6 AstraLeader
GPQA Diamond93.4%Not measuredOnly Gemini 3.6 Flash measured
LiveBench reasoningNot measured92.7%Only GPT-6 Astra measured
MysteryMechanism (Vals AI)Not measured53.1%Only GPT-6 Astra measured
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%96.3%GPT-6 Astra
Humanity's Last Exam (Artificial Analysis run)40.8%54.7%GPT-6 Astra
GPQA Diamond (Epoch AI run)94.1%95.8%GPT-6 Astra
ARC-AGI91.2%98.5%GPT-6 Astra
ARC-AGI-260.4%95.0%GPT-6 Astra
Chess puzzles42.0%74.0%GPT-6 Astra
Mystery game puzzles30.0%84.0%GPT-6 Astra
EBR-benchNot measured76.2%Only GPT-6 Astra measured
LMArena Text: hard prompts14861463Gemini 3.6 Flash
LMArena Text: expert14901489Gemini 3.6 Flash
LMArena Text: hard prompts in English14841464Gemini 3.6 Flash
LMArena Vision: diagrams13141297Gemini 3.6 Flash
LMArena Vision: homework13141337GPT-6 Astra
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-6 Astra
BenchmarkGemini 3.6 FlashGPT-6 AstraLeader
OTIS Mock AIME94.2%100.0%GPT-6 Astra
FrontierMath, tiers 1 to 358.9%93.7%GPT-6 Astra
FrontierMath, tier 422.0%97.6%GPT-6 Astra
ProofBench36.0%99.0%GPT-6 Astra
LMArena Text: math15081465Gemini 3.6 Flash
LMArena Text: mathematical work14921484Gemini 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 index52
Knowledge benchmarks for Gemini 3.6 Flash and GPT-6 Astra
BenchmarkGemini 3.6 FlashGPT-6 AstraLeader
MMLU Pro89.3%Not measuredOnly Gemini 3.6 Flash measured
LegalBench (Vals AI)86.7%Not measuredOnly Gemini 3.6 Flash measured
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%Not measuredOnly Gemini 3.6 Flash measured
MortgageTax (Vals AI)67.6%Not measuredOnly Gemini 3.6 Flash measured
MedCode (Vals AI)53.1%48.5%Gemini 3.6 Flash
SimpleQA Verified66.2%75.6%GPT-6 Astra
LMArena Text: science14891451Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691425Gemini 3.6 Flash
LMArena Text: legal and government14791462Gemini 3.6 Flash
LMArena Text: business and finance14641439Gemini 3.6 Flash
FACTS Benchmark Suite65.3%75.7%GPT-6 Astra
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Gemini 3.6 Flash and GPT-6 Astra
BenchmarkGemini 3.6 FlashGPT-6 AstraLeader
Design Arena: websites13001336GPT-6 Astra
Design Arena: UI components12941393GPT-6 Astra
Design Arena: game dev12631478GPT-6 Astra
Design Arena: data viz12891335GPT-6 Astra
Design Arena: 3D12711500GPT-6 Astra
Design Arena: all code categories12891379GPT-6 Astra
Design Arena: SVGNot measured1431Only GPT-6 Astra measured
Design Arena: ASCII art12811353GPT-6 Astra
LiveBench designNot measured82.0%Only GPT-6 Astra measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index217
General benchmarks for Gemini 3.6 Flash and GPT-6 Astra
BenchmarkGemini 3.6 FlashGPT-6 AstraLeader
Vals IndexNot measured65.0%Only GPT-6 Astra measured
LiveBench data analysisNot measured83.0%Only GPT-6 Astra measured
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%46.4%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%87.9%GPT-6 Astra
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%80.7%GPT-6 Astra
DTBench95.5%97.3%GPT-6 Astra
LMCA44.9%64.4%GPT-6 Astra
Furniture assembly23.3%80.0%GPT-6 Astra
LMArena Text14801441Gemini 3.6 Flash
LMArena Text: instruction following14671455Gemini 3.6 Flash
LMArena Text: creative writing14661420Gemini 3.6 Flash
LMArena Vision12991280Gemini 3.6 Flash
LMArena Text: English14821447Gemini 3.6 Flash
LMArena Text: non-English14701432Gemini 3.6 Flash
LMArena Text: Chinese15311489Gemini 3.6 Flash
LMArena Text: German14801459Gemini 3.6 Flash
LMArena Text: Japanese14751405Gemini 3.6 Flash
LMArena Text: Korean14291428Gemini 3.6 Flash
LMArena Text: French15031432Gemini 3.6 Flash
LMArena Text: Spanish14761422Gemini 3.6 Flash
LMArena Text: Russian14881438Gemini 3.6 Flash
LMArena Text: Polish14731422Gemini 3.6 Flash
LMArena Text: multi-turn14811447Gemini 3.6 Flash
LMArena Text: longer queries14751460Gemini 3.6 Flash
LMArena Text: writing and language14701437Gemini 3.6 Flash
LMArena Text: entertainment and media14561427Gemini 3.6 Flash
LMArena Vision: English12951280Gemini 3.6 Flash
LMArena Vision: Chinese13571361GPT-6 Astra
LMArena Vision: reading text13121292Gemini 3.6 Flash
LMArena Vision: humor1289Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: creative writing12781286GPT-6 Astra
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 12 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 Astra
BenchmarkGemini 3.6 FlashGPT-6 AstraLeader
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 Astra$0.035Fits 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 Astra$0.650Fits 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 Astra$2.50Fits 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 Astra
SpecificationGoogle Gemini 3.6 FlashOpenAI GPT-6 Astra
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026September 4, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$10.00
Output $/Mtok$3.75$50.00
Coding index62.585.1
Independent measurements behind it45
Cost per solved task$1.49Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than GPT-6 Astra for coding?

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 62.5 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash for output tokens 13.3x cheaper ($3.75 vs $50.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: coding, where it leads.

Which is cheaper, Gemini 3.6 Flash or GPT-6 Astra?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-6 Astra costs $10.00 and $50.00. 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 Astra?

GPT-6 Astra, with 1.05M tokens against 1.05M.

How many benchmarks is the Gemini 3.6 Flash vs GPT-6 Astra comparison based on?

93 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-6 Astra's on 5. Where only one model has a result, the page says so instead of naming a winner.

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