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Gemini 3.6 Flash vs Qwen3.8 27B

Updated October 21, 2026. 76 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.6 Flash Replace Qwen3.8 27B
Gemini 3.6 FlashGoogle
Coding
48.3
Overall
34.0
Output $/M
$3.75
60
Qwen3.8 27BQwen
Coding
73.6
Overall
33.7
Output $/M
$1.35
15
vs boards won of 76 shared, 1 tied

Decision reading

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 48.3 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash when the context window is larger, 1.05M against 1M tokens, or when what matters is AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Model AGemini 3.6 FlashGoogle48.3/1001 independent benchmark$1.49 per solved taskModel BQwen3.8 27BQwen73.6/1002 independent benchmarks$1.26 per solved task
Shared results
76
Gemini 3.6 Flash only
31
Qwen3.8 27B only
9
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 48.3 from 1 benchmark, Qwen3.8 27B 73.6 from 2 benchmarks.
Widest category
Math, 11.5 points apart on average over 3 shared benchmarks.
Widest single gap
MedCode (Vals AI): Gemini 3.6 Flash 53.1% against Qwen3.8 27B 28.7%, 24.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Qwen3.8 27B $1.35 per million output tokens, 2.8x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, Qwen3.8 27B 1M.

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 FlashBarsQwen3.8 27BTies
Coding781 tie
Intelligence20
Agentic work34
Reasoning110
Math30
Knowledge90
General253
All shared boards60151 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index78
Coding benchmarks for Gemini 3.6 Flash and Qwen3.8 27B
BenchmarkGemini 3.6 FlashQwen3.8 27BLeader
LiveBench codingNot measured86.8%Only Qwen3.8 27B measured
LMArena WebDev15381593Qwen3.8 27B
AA Coding Index69.268.1Gemini 3.6 Flash
LiveCodeBench (Vals AI)88.1%84.0%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)79.6%86.0%Qwen3.8 27B
Vibe Code Bench (Vals AI)64.0%64.8%Qwen3.8 27B
Code migration (Vals AI)30.9%14.2%Gemini 3.6 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)35.1%39.1%Qwen3.8 27B
Terminal-Bench 2.1 (Vals AI)73.8%58.4%Gemini 3.6 Flash
SkillsBench (Vals AI)Not measured38.1%Only Qwen3.8 27B measured
CyberBench (Vals AI)45.4%67.8%Qwen3.8 27B
SciCode53.4%46.6%Gemini 3.6 Flash
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.5Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: coding14911483Gemini 3.6 Flash
LMArena Text: software and IT14921478Gemini 3.6 Flash
LMArena WebDev: React15281602Qwen3.8 27B
LMArena WebDev: HTML15471570Qwen3.8 27B
LMArena WebDev: from an image15451577Qwen3.8 27B
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.6 Flash and Qwen3.8 27B
BenchmarkGemini 3.6 FlashQwen3.8 27BLeader
AA Intelligence Index34.033.7Gemini 3.6 Flash
Epoch Capabilities Index154.5151.7Gemini 3.6 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index34
Agentic work benchmarks for Gemini 3.6 Flash and Qwen3.8 27B
BenchmarkGemini 3.6 FlashQwen3.8 27BLeader
AA Agentic Index29.045.8Qwen3.8 27B
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 apps1199Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1208Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building games1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1148Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides1146Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1017Not measuredOnly Gemini 3.6 Flash measured
LiveBench researchNot measured59.4%Only Qwen3.8 27B measured
LiveBench browserNot measured32.0%Only Qwen3.8 27B measured
LiveBench long agenticNot measured27.9%Only Qwen3.8 27B measured
Finance Agent (Vals AI)56.3%48.5%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%30.9%Qwen3.8 27B
Legal Research Bench (Vals AI)25.0%36.1%Qwen3.8 27B
Excel Modeling Benchmark (Vals AI)65.4%59.7%Gemini 3.6 Flash
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%0.0%Gemini 3.6 Flash
APEX-Agents46.9%47.5%Qwen3.8 27B
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for Gemini 3.6 Flash and Qwen3.8 27B
BenchmarkGemini 3.6 FlashQwen3.8 27BLeader
GPQA Diamond93.4%88.9%Gemini 3.6 Flash
LiveBench reasoningNot measured80.0%Only Qwen3.8 27B measured
MMMU Pro (Vals AI)88.4%83.9%Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)92.8%90.5%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%33.9%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)94.1%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI91.2%87.5%Gemini 3.6 Flash
ARC-AGI-260.4%42.4%Gemini 3.6 Flash
Chess puzzles42.0%Not measuredOnly Gemini 3.6 Flash measured
Mystery game puzzles30.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: hard prompts14861459Gemini 3.6 Flash
LMArena Text: expert14901479Gemini 3.6 Flash
LMArena Text: hard prompts in English14841461Gemini 3.6 Flash
LMArena Vision: diagrams13141285Gemini 3.6 Flash
LMArena Vision: homework13141295Gemini 3.6 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.6 Flash and Qwen3.8 27B
BenchmarkGemini 3.6 FlashQwen3.8 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%16.0%Gemini 3.6 Flash
LMArena Text: math15081455Gemini 3.6 Flash
LMArena Text: mathematical work14921458Gemini 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 index90
Knowledge benchmarks for Gemini 3.6 Flash and Qwen3.8 27B
BenchmarkGemini 3.6 FlashQwen3.8 27BLeader
MMLU Pro89.3%84.3%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%82.4%Gemini 3.6 Flash
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%70.8%Gemini 3.6 Flash
MortgageTax (Vals AI)67.6%64.9%Gemini 3.6 Flash
MedCode (Vals AI)53.1%28.7%Gemini 3.6 Flash
SimpleQA Verified66.2%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: science14891467Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691437Gemini 3.6 Flash
LMArena Text: legal and government14791447Gemini 3.6 Flash
LMArena Text: business and finance14641438Gemini 3.6 Flash
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 3.6 Flash and Qwen3.8 27B
BenchmarkGemini 3.6 FlashQwen3.8 27BLeader
Design Arena: websites1301Not measuredOnly Gemini 3.6 Flash measured
Design Arena: UI components1297Not 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: 3D1272Not measuredOnly Gemini 3.6 Flash measured
Design Arena: all code categories1290Not measuredOnly Gemini 3.6 Flash measured
Design Arena: ASCII art1281Not measuredOnly Gemini 3.6 Flash measured
LiveBench designNot measured75.9%Only Qwen3.8 27B measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index253
General benchmarks for Gemini 3.6 Flash and Qwen3.8 27B
BenchmarkGemini 3.6 FlashQwen3.8 27BLeader
LiveBench data analysisNot measured76.6%Only Qwen3.8 27B measured
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%52.4%Qwen3.8 27B
MedScribe (Vals AI)79.7%83.8%Qwen3.8 27B
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%82.0%Qwen3.8 27B
DTBench95.5%88.0%Gemini 3.6 Flash
LMCA44.9%41.4%Gemini 3.6 Flash
Surface Evolver BenchNot measured45.0%Only Qwen3.8 27B measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text14801440Gemini 3.6 Flash
LMArena Text: instruction following14671436Gemini 3.6 Flash
LMArena Text: creative writing14661383Gemini 3.6 Flash
LMArena Vision12991269Gemini 3.6 Flash
LMArena Text: English14821448Gemini 3.6 Flash
LMArena Text: non-English14701428Gemini 3.6 Flash
LMArena Text: Chinese15311501Gemini 3.6 Flash
LMArena Text: German14801443Gemini 3.6 Flash
LMArena Text: Japanese14751387Gemini 3.6 Flash
LMArena Text: Korean14291384Gemini 3.6 Flash
LMArena Text: French15031465Gemini 3.6 Flash
LMArena Text: Spanish14761449Gemini 3.6 Flash
LMArena Text: Russian14881415Gemini 3.6 Flash
LMArena Text: Polish14731439Gemini 3.6 Flash
LMArena Text: multi-turn14811440Gemini 3.6 Flash
LMArena Text: longer queries14751448Gemini 3.6 Flash
LMArena Text: writing and language14701405Gemini 3.6 Flash
LMArena Text: entertainment and media14561393Gemini 3.6 Flash
LMArena Vision: English12951267Gemini 3.6 Flash
LMArena Vision: Chinese13571326Gemini 3.6 Flash
LMArena Vision: reading text13121281Gemini 3.6 Flash
LMArena Vision: humor12891235Gemini 3.6 Flash
LMArena Vision: creative writing12781237Gemini 3.6 Flash
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 Qwen3.8 27B
BenchmarkGemini 3.6 FlashQwen3.8 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
Qwen3.8 27B$0.0007Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
Qwen3.8 27B$0.0060Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
Qwen3.8 27B$0.021Fits in one request

Qwen3.8 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 Qwen3.8 27B
SpecificationGoogle Gemini 3.6 FlashQwen3.8 27B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026August 14, 2026
Context window1.05M1M
Input $/Mtok$0.75$0.04
Output $/Mtok$3.75$1.35
Coding index48.373.6
Independent measurements behind it12
Cost per solved task$1.49$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Qwen3.8 27B for coding?

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 48.3 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash when the context window is larger, 1.05M against 1M tokens, or when what matters is AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Gemini 3.6 Flash or Qwen3.8 27B?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and Qwen3.8 27B $1.26.

Which has the bigger context window, Gemini 3.6 Flash or Qwen3.8 27B?

Gemini 3.6 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 3.6 Flash vs Qwen3.8 27B comparison based on?

76 benchmarks have a result for both models as of October 21, 2026. Gemini 3.6 Flash's coding index rests on 1 independent benchmark and Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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