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Gemini 3.7 Flash vs Kimi K2.6

Gemini 3.7 Flash leads Kimi K2.6 on coding, 58.0 to 52.1 on the Vibe Coding Index, at about the same output price ($3.75 vs $4.00 per million). Updated October 21, 2026; 93 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Kimi K2.6
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
88
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
4
vs boards won of 93 shared, 1 tied

Gemini 3.7 Flash or Kimi K2.6: which to pick

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 52.1 for Kimi K2.6.

Pick Kimi K2.6 for a lower cost per solved task ($0.35 against $1.78) and work measured by ALE-Bench or Design Arena: agents building web apps, where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved task
Shared results
93
Gemini 3.7 Flash only
21
Kimi K2.6 only
16
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, Kimi K2.6 52.1 from 3 benchmarks.
Widest category
Agentic work, 13.3 points apart on average over 11 shared benchmarks.
Widest single gap
Chess puzzles: Gemini 3.7 Flash 66.0% against Kimi K2.6 20.0%, 46.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Kimi K2.6 $4.00 per million output tokens, 1.1x apart.
Context window
Gemini 3.7 Flash takes 1.05M tokens, Kimi K2.6 262K.

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 FlashBarsKimi K2.6Ties
Coding1311 tie
Intelligence20
Agentic work92
Reasoning120
Math60
Knowledge100
Web design80
General281
All shared boards8841 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index131
Coding benchmarks for Gemini 3.7 Flash and Kimi K2.6
BenchmarkGemini 3.7 FlashKimi K2.6Leader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911509Gemini 3.7 Flash
AA Coding Index71.561.8Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%86.8%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%76.2%Gemini 3.7 Flash
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%37.9%Gemini 3.7 Flash
Code migration (Vals AI)34.8%27.8%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%53.6%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.7 Flash measured
SciCode59.8%51.5%Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Kimi K2.6 measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
WeirdMLNot measured55.9%Only Kimi K2.6 measured
ALE-Bench904.31092.7Kimi K2.6
LMArena Text: coding14991489Gemini 3.7 Flash
LMArena Text: software and IT14981484Gemini 3.7 Flash
LMArena WebDev: React15871505Gemini 3.7 Flash
LMArena WebDev: HTML15931485Gemini 3.7 Flash
LMArena WebDev: from an image15991521Gemini 3.7 Flash
SciCode13.8%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.7 Flash and Kimi K2.6
BenchmarkGemini 3.7 FlashKimi K2.6Leader
AA Intelligence Index39.627.0Gemini 3.7 Flash
Epoch Capabilities Index158.0150.9Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index92
Agentic work benchmarks for Gemini 3.7 Flash and Kimi K2.6
BenchmarkGemini 3.7 FlashKimi K2.6Leader
AA Agentic IndexNot measured20.5Only Kimi K2.6 measured
Design Arena: agents building web apps12231268Kimi K2.6
Design Arena: agents building full-stack apps12081155Gemini 3.7 Flash
Design Arena: agents building mobile apps12301157Gemini 3.7 Flash
Design Arena: agents building Android apps12421160Gemini 3.7 Flash
Design Arena: agents building Godot games12641120Gemini 3.7 Flash
Design Arena: agents building games12351141Gemini 3.7 Flash
Design Arena: HTML slidesNot measured1184Only Kimi K2.6 measured
Design Arena: PowerPoint slidesNot measured1128Only Kimi K2.6 measured
Design Arena: spreadsheets10531276Kimi K2.6
LiveBench research76.5%Not measuredOnly Gemini 3.7 Flash measured
LiveBench browser56.0%Not measuredOnly Gemini 3.7 Flash measured
LiveBench long agentic28.3%Not measuredOnly Gemini 3.7 Flash measured
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%44.9%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%12.4%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%15.9%Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)71.3%57.9%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured95.9%Only Kimi K2.6 measured
APEX-Agents67.8%Not measuredOnly Gemini 3.7 Flash measured
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
Vending-Bench 2Not measured$6,205Only Kimi K2.6 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Gemini 3.7 Flash and Kimi K2.6
BenchmarkGemini 3.7 FlashKimi K2.6Leader
GPQA Diamond93.9%89.1%Gemini 3.7 Flash
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%86.3%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%91.1%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%37.5%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%90.8%Gemini 3.7 Flash
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
Chess puzzles66.0%20.0%Gemini 3.7 Flash
Mystery game puzzles37.0%18.0%Gemini 3.7 Flash
EBR-benchNot measured2.4%Only Kimi K2.6 measured
LMArena Text: hard prompts14951470Gemini 3.7 Flash
LMArena Text: expert15121491Gemini 3.7 Flash
LMArena Text: hard prompts in English14871471Gemini 3.7 Flash
LMArena Vision: diagrams13291298Gemini 3.7 Flash
LMArena Vision: homework13201310Gemini 3.7 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Gemini 3.7 Flash and Kimi K2.6
BenchmarkGemini 3.7 FlashKimi K2.6Leader
OTIS Mock AIME97.2%96.1%Gemini 3.7 Flash
FrontierMath, tiers 1 to 371.6%57.2%Gemini 3.7 Flash
FrontierMath, tier 436.6%25.6%Gemini 3.7 Flash
ProofBench58.0%16.0%Gemini 3.7 Flash
LMArena Text: math15111474Gemini 3.7 Flash
LMArena Text: mathematical work15021480Gemini 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 index100
Knowledge benchmarks for Gemini 3.7 Flash and Kimi K2.6
BenchmarkGemini 3.7 FlashKimi K2.6Leader
MMLU Pro90.1%87.6%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%84.7%Gemini 3.7 Flash
CaseLaw (Vals AI)Not measured61.2%Only Kimi K2.6 measured
CorpFin (Vals AI)Not measured66.7%Only Kimi K2.6 measured
TaxEval (Vals AI)74.7%74.7%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%65.8%Gemini 3.7 Flash
MedCode (Vals AI)53.4%40.1%Gemini 3.7 Flash
SimpleQA Verified69.2%34.9%Gemini 3.7 Flash
LMArena Text: science15111468Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941457Gemini 3.7 Flash
LMArena Text: legal and government14961462Gemini 3.7 Flash
LMArena Text: business and finance14791445Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Gemini 3.7 Flash and Kimi K2.6
BenchmarkGemini 3.7 FlashKimi K2.6Leader
Design Arena: websites13041269Gemini 3.7 Flash
Design Arena: UI components12991266Gemini 3.7 Flash
Design Arena: game dev13181251Gemini 3.7 Flash
Design Arena: data viz13151249Gemini 3.7 Flash
Design Arena: 3D13081268Gemini 3.7 Flash
Design Arena: all code categories13081272Gemini 3.7 Flash
Design Arena: SVG12831181Gemini 3.7 Flash
Design Arena: ASCII art12761165Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index281
General benchmarks for Gemini 3.7 Flash and Kimi K2.6
BenchmarkGemini 3.7 FlashKimi K2.6Leader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
Public Benefits Bench (Vals AI)Not measured56.6%Only Kimi K2.6 measured
SAGE (Vals AI)49.2%50.2%Kimi K2.6
MedScribe (Vals AI)83.9%78.2%Gemini 3.7 Flash
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBenchNot measured76.0%Only Kimi K2.6 measured
Long context reasoning (AA-LCR)83.0%81.0%Gemini 3.7 Flash
DTBench96.8%90.9%Gemini 3.7 Flash
LMCA50.4%37.3%Gemini 3.7 Flash
Furniture assembly26.7%21.7%Gemini 3.7 Flash
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text14891455Gemini 3.7 Flash
LMArena Text: instruction following14841451Gemini 3.7 Flash
LMArena Text: creative writing14881434Gemini 3.7 Flash
LMArena Vision13141282Gemini 3.7 Flash
LMArena Text: English14831460Gemini 3.7 Flash
LMArena Text: non-English14871446Gemini 3.7 Flash
LMArena Text: Chinese15521520Gemini 3.7 Flash
LMArena Text: German15061451Gemini 3.7 Flash
LMArena Text: Japanese15111443Gemini 3.7 Flash
LMArena Text: Korean14811427Gemini 3.7 Flash
LMArena Text: French15001471Gemini 3.7 Flash
LMArena Text: Spanish14951464Gemini 3.7 Flash
LMArena Text: Russian15151446Gemini 3.7 Flash
LMArena Text: Polish15031438Gemini 3.7 Flash
LMArena Text: multi-turn14851453Gemini 3.7 Flash
LMArena Text: longer queries14921468Gemini 3.7 Flash
LMArena Text: writing and language14911439Gemini 3.7 Flash
LMArena Text: entertainment and media14771428Gemini 3.7 Flash
LMArena Vision: English13091287Gemini 3.7 Flash
LMArena Vision: Chinese13941346Gemini 3.7 Flash
LMArena Vision: reading text13221291Gemini 3.7 Flash
LMArena Vision: humor12991280Gemini 3.7 Flash
LMArena Vision: creative writing13121273Gemini 3.7 Flash
LMArena DocumentNot measured1451Only Kimi K2.6 measured
Neither model has a result on the other 11 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 Kimi K2.6
BenchmarkGemini 3.7 FlashKimi K2.6Leader
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
Kimi K2.6$0.0029Fits 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
Kimi K2.6$0.059Fits 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
Kimi K2.6$0.230Fits 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 Kimi K2.6
SpecificationGoogle Gemini 3.7 FlashMoonshotAI Kimi K2.6
MakerGoogleMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2026April 20, 2026
Context window1.05M262K
Input $/Mtok$0.75$0.95
Output $/Mtok$3.75$4.00
Coding index58.052.1
Independent measurements behind it63
Cost per solved task$1.78$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Kimi K2.6 for coding?

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 52.1 for Kimi K2.6. Pick Kimi K2.6 for a lower cost per solved task ($0.35 against $1.78) and work measured by ALE-Bench or Design Arena: agents building web apps, where it leads.

Which is cheaper, Gemini 3.7 Flash or Kimi K2.6?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Kimi K2.6 $0.35.

Which has the bigger context window, Gemini 3.7 Flash or Kimi K2.6?

Gemini 3.7 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.7 Flash vs Kimi K2.6 comparison based on?

93 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 6 independent benchmarks and Kimi K2.6's on 3. Where only one model has a result, the page says so instead of naming a winner.

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