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Gemini 3.6 Flash vs Qwen3.5-27B

Gemini 3.6 Flash leads Qwen3.5-27B on the Artificial Analysis Intelligence Index, 34.0 to 22.9, and Qwen3.5-27B costs 2.4x less per output token ($1.56 vs $3.75 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace Qwen3.5-27B
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
47
Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
0
vs boards won of 47 shared

Gemini 3.6 Flash or Qwen3.5-27B: which to pick

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Qwen3.5-27B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-27B for output tokens 2.4x cheaper ($1.56 vs $3.75 per million).

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BQwen3.5-27BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
47
Gemini 3.6 Flash only
62
Qwen3.5-27B only
6
Like-for-like categories
6 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, Qwen3.5-27B not benchmarked.
Widest category
Coding, 18.9 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: React: Gemini 3.6 Flash 1528 against Qwen3.5-27B 1346, 30.2 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Qwen3.5-27B $1.56 per million output tokens, 2.4x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, Qwen3.5-27B 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 3.6 FlashBarsQwen3.5-27BTies
Coding70
Intelligence10
Reasoning70
Math20
Knowledge40
General260
All shared boards470
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Gemini 3.6 Flash and Qwen3.5-27B
BenchmarkGemini 3.6 FlashQwen3.5-27BLeader
LMArena WebDev15381358Gemini 3.6 Flash
AA Coding Index69.2Not measuredOnly Gemini 3.6 Flash measured
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
Vibe Code Bench (Vals AI)64.0%Not measuredOnly Gemini 3.6 Flash measured
Code migration (Vals AI)30.9%Not measuredOnly Gemini 3.6 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.6 Flash measured
IOI (Vals AI)35.1%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)73.8%Not measuredOnly Gemini 3.6 Flash measured
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
SciCode53.4%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured32.6%Only Qwen3.5-27B measured
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
WeirdML56.1%39.5%Gemini 3.6 Flash
ALE-Bench715.5349.4Gemini 3.6 Flash
LMArena Text: coding14911427Gemini 3.6 Flash
LMArena Text: software and IT14921431Gemini 3.6 Flash
LMArena WebDev: React15281346Gemini 3.6 Flash
LMArena WebDev: HTML15471386Gemini 3.6 Flash
LMArena WebDev: from an image1545Not measuredOnly Gemini 3.6 Flash measured
SciCode10.8%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.6 Flash and Qwen3.5-27B
BenchmarkGemini 3.6 FlashQwen3.5-27BLeader
AA Intelligence Index34.022.9Gemini 3.6 Flash
Epoch Capabilities Index154.5Not measuredOnly Gemini 3.6 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Gemini 3.6 Flash and Qwen3.5-27B
BenchmarkGemini 3.6 FlashQwen3.5-27BLeader
AA Agentic Index29.0Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building web apps1197Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building mobile apps1198Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1204Not measuredOnly Gemini 3.6 Flash 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 slides1121Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1071Not measuredOnly Gemini 3.6 Flash measured
Finance Agent (Vals AI)56.3%Not measuredOnly Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)18.0%Not measuredOnly Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)25.0%Not measuredOnly Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)65.4%Not measuredOnly Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Gemini 3.6 Flash measured
τ²-Bench TelecomNot measured93.9%Only Qwen3.5-27B measured
APEX-Agents46.9%Not measuredOnly Gemini 3.6 Flash measured
Vending-Bench 2Not measured$202Only Qwen3.5-27B measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Gemini 3.6 Flash and Qwen3.5-27B
BenchmarkGemini 3.6 FlashQwen3.5-27BLeader
GPQA Diamond93.4%Not measuredOnly Gemini 3.6 Flash measured
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%85.8%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%23.9%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)94.1%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI91.2%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI-260.4%Not measuredOnly Gemini 3.6 Flash measured
Chess puzzles42.0%Not measuredOnly Gemini 3.6 Flash measured
Mystery game puzzles30.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: hard prompts14861415Gemini 3.6 Flash
LMArena Text: expert14901427Gemini 3.6 Flash
LMArena Text: hard prompts in English14841429Gemini 3.6 Flash
LMArena Vision: diagrams13141249Gemini 3.6 Flash
LMArena Vision: homework13141256Gemini 3.6 Flash
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 3.6 Flash and Qwen3.5-27B
BenchmarkGemini 3.6 FlashQwen3.5-27BLeader
OTIS Mock AIME94.2%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tiers 1 to 358.9%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.6 Flash measured
ProofBench36.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: math15081429Gemini 3.6 Flash
LMArena Text: mathematical work14921429Gemini 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 index40
Knowledge benchmarks for Gemini 3.6 Flash and Qwen3.5-27B
BenchmarkGemini 3.6 FlashQwen3.5-27BLeader
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%Not measuredOnly Gemini 3.6 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: science14891437Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691425Gemini 3.6 Flash
LMArena Text: legal and government14791405Gemini 3.6 Flash
LMArena Text: business and finance14641399Gemini 3.6 Flash
FACTS Benchmark Suite65.3%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 3.6 Flash and Qwen3.5-27B
BenchmarkGemini 3.6 FlashQwen3.5-27BLeader
Design Arena: websites1300Not measuredOnly Gemini 3.6 Flash measured
Design Arena: UI components1294Not measuredOnly Gemini 3.6 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.6 Flash measured
Design Arena: data viz1289Not measuredOnly Gemini 3.6 Flash measured
Design Arena: 3D1271Not measuredOnly Gemini 3.6 Flash measured
Design Arena: all code categories1289Not measuredOnly Gemini 3.6 Flash measured
Design Arena: ASCII art1281Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
General benchmarks for Gemini 3.6 Flash and Qwen3.5-27B
BenchmarkGemini 3.6 FlashQwen3.5-27BLeader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%Not measuredOnly Gemini 3.6 Flash measured
MedScribe (Vals AI)79.7%Not measuredOnly Gemini 3.6 Flash measured
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
IFBenchNot measured75.6%Only Qwen3.5-27B measured
Long context reasoning (AA-LCR)80.0%77.7%Gemini 3.6 Flash
DTBench95.5%82.4%Gemini 3.6 Flash
LMCA44.9%34.0%Gemini 3.6 Flash
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text14801409Gemini 3.6 Flash
LMArena Text: instruction following14671393Gemini 3.6 Flash
LMArena Text: creative writing14661362Gemini 3.6 Flash
LMArena Vision12991241Gemini 3.6 Flash
LMArena Text: English14821425Gemini 3.6 Flash
LMArena Text: non-English14701390Gemini 3.6 Flash
LMArena Text: Chinese15311478Gemini 3.6 Flash
LMArena Text: German14801392Gemini 3.6 Flash
LMArena Text: Japanese14751346Gemini 3.6 Flash
LMArena Text: Korean14291359Gemini 3.6 Flash
LMArena Text: French15031410Gemini 3.6 Flash
LMArena Text: Spanish14761407Gemini 3.6 Flash
LMArena Text: Russian14881390Gemini 3.6 Flash
LMArena Text: Polish14731375Gemini 3.6 Flash
LMArena Text: multi-turn14811410Gemini 3.6 Flash
LMArena Text: longer queries14751413Gemini 3.6 Flash
LMArena Text: writing and language14701380Gemini 3.6 Flash
LMArena Text: entertainment and media14561363Gemini 3.6 Flash
LMArena Vision: English12951246Gemini 3.6 Flash
LMArena Vision: Chinese13571301Gemini 3.6 Flash
LMArena Vision: reading text13121246Gemini 3.6 Flash
LMArena Vision: humor12891227Gemini 3.6 Flash
LMArena Vision: captioningNot measured1170Only Qwen3.5-27B measured
LMArena Vision: recognizing thingsNot measured1210Only Qwen3.5-27B measured
LMArena Vision: creative writing12781224Gemini 3.6 Flash
LMArena Document1456Not measuredOnly Gemini 3.6 Flash 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 3.6 Flash and Qwen3.5-27B
BenchmarkGemini 3.6 FlashQwen3.5-27BLeader
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
Qwen3.5-27B$0.0010Fits in one request

Qwen3.5-27B costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
Qwen3.5-27B$0.014Fits in one request

Qwen3.5-27B costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
Qwen3.5-27B$0.055Fits in one request

Qwen3.5-27B 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 Qwen3.5-27B
SpecificationGoogle Gemini 3.6 FlashQwen3.5-27B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$0.75$0.195
Output $/Mtok$3.75$1.56
Coding index62.5Not benchmarked
Independent measurements behind it41
Cost per solved task$1.49Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Qwen3.5-27B for coding?

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Qwen3.5-27B has none, so the two cannot be ranked on coding. Pick Qwen3.5-27B for output tokens 2.4x cheaper ($1.56 vs $3.75 per million).

Which is cheaper, Gemini 3.6 Flash or Qwen3.5-27B?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen3.5-27B costs $0.195 and $1.56. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or Qwen3.5-27B?

Gemini 3.6 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.6 Flash vs Qwen3.5-27B comparison based on?

47 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 Qwen3.5-27B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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