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Gemini 3.7 Flash vs GPT-6 Astra

GPT-6 Astra leads Gemini 3.7 Flash on coding, 85.1 to 58.0 on the Vibe Coding Index, and Gemini 3.7 Flash costs 13.3x less per output token ($3.75 vs $50.00 per million). Updated October 22, 2026; 102 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace GPT-6 Astra
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
43
GPT-6 AstraOpenAI
Coding
85.1
Overall
83.0
Output $/M
$50.00
59
vs boards won of 102 shared

Gemini 3.7 Flash or GPT-6 Astra: which to pick

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash, though on 5 benchmarks against 6.

Pick Gemini 3.7 Flash for output tokens 13.3x cheaper ($3.75 vs $50.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BGPT-6 AstraOpenAI85.1/1005 independent benchmarksNo cost per solved task
Shared results
102
Gemini 3.7 Flash only
12
GPT-6 Astra only
19
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 3.7 Flash 58.0 from 6 benchmarks, GPT-6 Astra 85.1 from 5 benchmarks.
Widest category
Math, 22.9 points apart on average over 6 shared benchmarks.
Widest single gap
ALE-Bench: Gemini 3.7 Flash 904.3 against GPT-6 Astra 2951.3, 68.2 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against GPT-6 Astra $50.00 per million output tokens, 13.3x apart.
Context window
Gemini 3.7 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 3.7 FlashBarsGPT-6 AstraTies
Coding515
Intelligence02
Agentic work313
Reasoning49
Math24
Knowledge52
Web design09
General245
All shared boards4359
CodingLike-for-likeSix of these boards feed the Vibe Coding Index515
Coding benchmarks for Gemini 3.7 Flash and GPT-6 Astra
BenchmarkGemini 3.7 FlashGPT-6 AstraLeader
LiveBench coding80.5%93.7%GPT-6 Astra
LMArena WebDev15911774GPT-6 Astra
AA Coding Index71.576.9GPT-6 Astra
LiveCodeBench (Vals AI)88.7%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)80.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)12.1%59.6%GPT-6 Astra
Vibe Code Bench (Vals AI)70.4%89.6%GPT-6 Astra
Code migration (Vals AI)34.8%67.7%GPT-6 Astra
ProgramBench (Vals AI)0.0%5.5%GPT-6 Astra
IOI (Vals AI)67.8%100.0%GPT-6 Astra
Terminal-Bench 2.1 (Vals AI)77.5%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
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%41.1%Gemini 3.7 Flash
SciCode59.8%56.5%Gemini 3.7 Flash
FrontierCode43.6%53.3%GPT-6 Astra
FrontierSWE20.3%65.5%GPT-6 Astra
GSO-BenchNot measured79.4%Only GPT-6 Astra measured
WeirdMLNot measured93.3%Only GPT-6 Astra measured
MirrorCodeNot measured46.7%Only GPT-6 Astra measured
ALE-Bench904.32951.3GPT-6 Astra
LMArena Text: coding14991489Gemini 3.7 Flash
LMArena Text: software and IT14981474Gemini 3.7 Flash
LMArena WebDev: React15871798GPT-6 Astra
LMArena WebDev: HTML15931775GPT-6 Astra
LMArena WebDev: from an image15991726GPT-6 Astra
SciCode13.8%12.3%Gemini 3.7 Flash
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.7 Flash and GPT-6 Astra
BenchmarkGemini 3.7 FlashGPT-6 AstraLeader
AA Intelligence Index39.652.7GPT-6 Astra
Epoch Capabilities Index158.0168.8GPT-6 Astra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index313
Agentic work benchmarks for Gemini 3.7 Flash and GPT-6 Astra
BenchmarkGemini 3.7 FlashGPT-6 AstraLeader
AA Agentic IndexNot measured51.0Only GPT-6 Astra measured
Design Arena: agents building web apps12231373GPT-6 Astra
Design Arena: agents building full-stack apps12081357GPT-6 Astra
Design Arena: agents building mobile apps12291312GPT-6 Astra
Design Arena: agents building Android apps1243Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Godot games12641348GPT-6 Astra
Design Arena: agents building games1235Not measuredOnly Gemini 3.7 Flash measured
Design Arena: PowerPoint slidesNot measured1219Only GPT-6 Astra measured
Design Arena: spreadsheets10581365GPT-6 Astra
LiveBench research76.5%85.2%GPT-6 Astra
LiveBench browser56.0%84.0%GPT-6 Astra
LiveBench long agentic28.3%82.4%GPT-6 Astra
SREBench (Vals AI)4.6%56.9%GPT-6 Astra
Finance Agent (Vals AI)59.0%53.5%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%20.7%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%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)71.3%71.7%GPT-6 Astra
BioMysteryBench (Vals AI)Not measured79.3%Only GPT-6 Astra measured
Terminal-Bench-Science (Vals AI)7.1%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-Agents67.8%64.7%Gemini 3.7 Flash
Remote Labor Index5.0%20.8%GPT-6 Astra
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 12 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index49
Reasoning benchmarks for Gemini 3.7 Flash and GPT-6 Astra
BenchmarkGemini 3.7 FlashGPT-6 AstraLeader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
LiveBench reasoning87.8%92.7%GPT-6 Astra
MysteryMechanism (Vals AI)Not measured53.1%Only GPT-6 Astra measured
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%96.3%GPT-6 Astra
Humanity's Last Exam (Artificial Analysis run)47.9%54.7%GPT-6 Astra
GPQA Diamond (Epoch AI run)94.8%95.8%GPT-6 Astra
ARC-AGI95.5%98.5%GPT-6 Astra
ARC-AGI-284.6%95.0%GPT-6 Astra
Chess puzzles66.0%74.0%GPT-6 Astra
Mystery game puzzles37.0%84.0%GPT-6 Astra
EBR-benchNot measured76.2%Only GPT-6 Astra measured
LMArena Text: hard prompts14951463Gemini 3.7 Flash
LMArena Text: expert15121489Gemini 3.7 Flash
LMArena Text: hard prompts in English14871464Gemini 3.7 Flash
LMArena Vision: diagrams13291297Gemini 3.7 Flash
LMArena Vision: homework13201337GPT-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 3.7 Flash and GPT-6 Astra
BenchmarkGemini 3.7 FlashGPT-6 AstraLeader
OTIS Mock AIME97.2%100.0%GPT-6 Astra
FrontierMath, tiers 1 to 371.6%93.7%GPT-6 Astra
FrontierMath, tier 436.6%97.6%GPT-6 Astra
ProofBench58.0%99.0%GPT-6 Astra
LMArena Text: math15111465Gemini 3.7 Flash
LMArena Text: mathematical work15021484Gemini 3.7 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 3.7 Flash and GPT-6 Astra
BenchmarkGemini 3.7 FlashGPT-6 AstraLeader
MMLU Pro90.1%Not measuredOnly Gemini 3.7 Flash measured
LegalBench (Vals AI)87.3%Not measuredOnly Gemini 3.7 Flash measured
TaxEval (Vals AI)74.7%Not measuredOnly Gemini 3.7 Flash measured
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%48.5%Gemini 3.7 Flash
SimpleQA Verified69.2%75.6%GPT-6 Astra
LMArena Text: science15111451Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941425Gemini 3.7 Flash
LMArena Text: legal and government14961462Gemini 3.7 Flash
LMArena Text: business and finance14791439Gemini 3.7 Flash
FACTS Benchmark Suite71.2%75.7%GPT-6 Astra
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index09
Web design benchmarks for Gemini 3.7 Flash and GPT-6 Astra
BenchmarkGemini 3.7 FlashGPT-6 AstraLeader
Design Arena: websites13031336GPT-6 Astra
Design Arena: UI components12961393GPT-6 Astra
Design Arena: game dev13171478GPT-6 Astra
Design Arena: data viz13151335GPT-6 Astra
Design Arena: 3D13071500GPT-6 Astra
Design Arena: all code categories13081379GPT-6 Astra
Design Arena: SVG12831431GPT-6 Astra
Design Arena: ASCII art12761353GPT-6 Astra
LiveBench design73.2%82.0%GPT-6 Astra
GeneralLike-for-likePublic boards, shown as published, kept out of the index245
General benchmarks for Gemini 3.7 Flash and GPT-6 Astra
BenchmarkGemini 3.7 FlashGPT-6 AstraLeader
Vals IndexNot measured65.0%Only GPT-6 Astra measured
LiveBench data analysis68.0%83.0%GPT-6 Astra
SAGE (Vals AI)49.2%46.4%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%87.9%GPT-6 Astra
Long context reasoning (AA-LCR)83.0%80.7%Gemini 3.7 Flash
DTBench96.8%97.3%GPT-6 Astra
LMCA50.4%64.4%GPT-6 Astra
Furniture assembly26.7%80.0%GPT-6 Astra
LMArena Text14891441Gemini 3.7 Flash
LMArena Text: instruction following14841455Gemini 3.7 Flash
LMArena Text: creative writing14881420Gemini 3.7 Flash
LMArena Vision13141280Gemini 3.7 Flash
LMArena Text: English14831447Gemini 3.7 Flash
LMArena Text: non-English14871432Gemini 3.7 Flash
LMArena Text: Chinese15521489Gemini 3.7 Flash
LMArena Text: German15061459Gemini 3.7 Flash
LMArena Text: Japanese15111405Gemini 3.7 Flash
LMArena Text: Korean14811428Gemini 3.7 Flash
LMArena Text: French15001432Gemini 3.7 Flash
LMArena Text: Spanish14951422Gemini 3.7 Flash
LMArena Text: Russian15151438Gemini 3.7 Flash
LMArena Text: Polish15031422Gemini 3.7 Flash
LMArena Text: multi-turn14851447Gemini 3.7 Flash
LMArena Text: longer queries14921460Gemini 3.7 Flash
LMArena Text: writing and language14911437Gemini 3.7 Flash
LMArena Text: entertainment and media14771427Gemini 3.7 Flash
LMArena Vision: English13091280Gemini 3.7 Flash
LMArena Vision: Chinese13941361Gemini 3.7 Flash
LMArena Vision: reading text13221292Gemini 3.7 Flash
LMArena Vision: humor1299Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: creative writing13121286Gemini 3.7 Flash
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.7 Flash and GPT-6 Astra
BenchmarkGemini 3.7 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 3.7 Flash$0.0026Fits in one request
GPT-6 Astra$0.035Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
GPT-6 Astra$0.650Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
GPT-6 Astra$2.50Fits in one request

Gemini 3.7 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 3.7 Flash and GPT-6 Astra
SpecificationGoogle Gemini 3.7 FlashOpenAI GPT-6 Astra
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026September 4, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$10.00
Output $/Mtok$3.75$50.00
Coding index58.085.1
Independent measurements behind it65
Cost per solved task$1.78Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than GPT-6 Astra for coding?

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash, though on 5 benchmarks against 6. Pick Gemini 3.7 Flash for output tokens 13.3x cheaper ($3.75 vs $50.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Which is cheaper, Gemini 3.7 Flash or GPT-6 Astra?

Gemini 3.7 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 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or GPT-6 Astra?

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

How many benchmarks is the Gemini 3.7 Flash vs GPT-6 Astra comparison based on?

102 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-gpt-6-astra">LLMBenchmark.ai, Gemini 3.7 Flash vs GPT-6 Astra</a></p>