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Gemini 3.5 Flash Lite vs Qwen3.5-27B

Qwen3.5-27B leads Gemini 3.5 Flash Lite on the Artificial Analysis Intelligence Index, 22.9 to 22.2, and Qwen3.5-27B costs 1.6x less per output token ($1.56 vs $2.50 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Gemini 3.5 Flash LiteGoogle
Coding
49.0
Overall
49.8
Output $/M
$2.50
40
Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
6
vs boards won of 46 shared

Gemini 3.5 Flash Lite or Qwen3.5-27B: which to pick

Only Gemini 3.5 Flash Lite has a coding score, 49.0 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 1.6x cheaper ($1.56 vs $2.50 per million) and work measured by WeirdML or AA Intelligence Index, where it leads.

Shared results
46
Gemini 3.5 Flash Lite only
39
Qwen3.5-27B only
7
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 3.5 Flash Lite 49.0 from 3 benchmarks, Qwen3.5-27B not benchmarked.
Widest category
Coding, 7.2 points apart on average over 6 shared benchmarks.
Widest single gap
ALE-Bench: Gemini 3.5 Flash Lite 765.3 against Qwen3.5-27B 349.4, 13.9 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against Qwen3.5-27B $1.56 per million output tokens, 1.6x apart.
Context window
Gemini 3.5 Flash Lite 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 3.5 Flash LiteBarsQwen3.5-27BTies
Coding51
Intelligence01
Reasoning52
Math20
Knowledge40
General242
All shared boards406
CodingLike-for-likeSix of these boards feed the Vibe Coding Index51
Coding benchmarks for Gemini 3.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 3.5 Flash LiteQwen3.5-27BLeader
LMArena WebDev14351358Gemini 3.5 Flash Lite
AA Coding Index49.3Not measuredOnly Gemini 3.5 Flash Lite measured
LiveCodeBench (Vals AI)79.0%Not measuredOnly Gemini 3.5 Flash Lite measured
SWE-bench Verified (Vals AI)75.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Vibe Code Bench (Vals AI)37.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Code migration (Vals AI)6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly Gemini 3.5 Flash Lite measured
CyberBench (Vals AI)59.1%Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode41.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)Not measured32.6%Only Qwen3.5-27B measured
WeirdML39.0%39.5%Qwen3.5-27B
ALE-Bench765.3349.4Gemini 3.5 Flash Lite
LMArena Text: coding14531427Gemini 3.5 Flash Lite
LMArena Text: software and IT14511431Gemini 3.5 Flash Lite
LMArena WebDev: React14081346Gemini 3.5 Flash Lite
LMArena WebDev: HTMLNot measured1386Only Qwen3.5-27B measured
LMArena WebDev: from an image1448Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 3.5 Flash LiteQwen3.5-27BLeader
AA Intelligence Index22.222.9Qwen3.5-27B
Epoch Capabilities Index144.9Not measuredOnly Gemini 3.5 Flash Lite measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for Gemini 3.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 3.5 Flash LiteQwen3.5-27BLeader
AA Agentic Index14.3Not measuredOnly Gemini 3.5 Flash Lite measured
Finance Agent (Vals AI)47.4%Not measuredOnly Gemini 3.5 Flash Lite measured
Tax Agent Bench (Vals AI)7.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Legal Research Bench (Vals AI)13.9%Not measuredOnly Gemini 3.5 Flash Lite measured
Excel Modeling Benchmark (Vals AI)43.2%Not measuredOnly Gemini 3.5 Flash Lite measured
τ²-Bench TelecomNot measured93.9%Only Qwen3.5-27B measured
APEX-Agents29.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Vending-Bench 2Not measured$202Only Qwen3.5-27B measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
Reasoning benchmarks for Gemini 3.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 3.5 Flash LiteQwen3.5-27BLeader
GPQA Diamond83.8%Not measuredOnly Gemini 3.5 Flash Lite measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)83.8%85.8%Qwen3.5-27B
Humanity's Last Exam (Artificial Analysis run)18.8%23.9%Qwen3.5-27B
GPQA Diamond (Epoch AI run)83.3%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI-210.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Chess puzzles21.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Mystery game puzzles19.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts14411415Gemini 3.5 Flash Lite
LMArena Text: expert14341427Gemini 3.5 Flash Lite
LMArena Text: hard prompts in English14401429Gemini 3.5 Flash Lite
LMArena Vision: diagrams12841249Gemini 3.5 Flash Lite
LMArena Vision: homework12911256Gemini 3.5 Flash Lite
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 3.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 3.5 Flash LiteQwen3.5-27BLeader
OTIS Mock AIME71.1%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tiers 1 to 326.0%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ProofBench13.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: math14341429Gemini 3.5 Flash Lite
LMArena Text: mathematical work14331429Gemini 3.5 Flash Lite
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 3.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 3.5 Flash LiteQwen3.5-27BLeader
MMLU Pro85.8%Not measuredOnly Gemini 3.5 Flash Lite measured
LegalBench (Vals AI)84.1%Not measuredOnly Gemini 3.5 Flash Lite measured
CorpFin (Vals AI)60.7%Not measuredOnly Gemini 3.5 Flash Lite measured
TaxEval (Vals AI)72.6%Not measuredOnly Gemini 3.5 Flash Lite measured
MortgageTax (Vals AI)68.7%Not measuredOnly Gemini 3.5 Flash Lite measured
MedCode (Vals AI)43.5%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: science14511437Gemini 3.5 Flash Lite
LMArena Text: medicine and healthcare14381425Gemini 3.5 Flash Lite
LMArena Text: legal and government14311405Gemini 3.5 Flash Lite
LMArena Text: business and finance14231399Gemini 3.5 Flash Lite
FACTS Benchmark Suite53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 3.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 3.5 Flash LiteQwen3.5-27BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index242
General benchmarks for Gemini 3.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 3.5 Flash LiteQwen3.5-27BLeader
Public Benefits Bench (Vals AI)51.8%Not measuredOnly Gemini 3.5 Flash Lite measured
SAGE (Vals AI)47.3%Not measuredOnly Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)70.9%Not measuredOnly Gemini 3.5 Flash Lite measured
IFBenchNot measured75.6%Only Qwen3.5-27B measured
Long context reasoning (AA-LCR)76.0%77.7%Qwen3.5-27B
DTBench83.5%82.4%Gemini 3.5 Flash Lite
LMCA37.6%34.0%Gemini 3.5 Flash Lite
LMArena Text14351409Gemini 3.5 Flash Lite
LMArena Text: instruction following14191393Gemini 3.5 Flash Lite
LMArena Text: creative writing14211362Gemini 3.5 Flash Lite
LMArena Vision12691241Gemini 3.5 Flash Lite
LMArena Text: English14381425Gemini 3.5 Flash Lite
LMArena Text: non-English14271390Gemini 3.5 Flash Lite
LMArena Text: Chinese14681478Qwen3.5-27B
LMArena Text: German14541392Gemini 3.5 Flash Lite
LMArena Text: Japanese14261346Gemini 3.5 Flash Lite
LMArena Text: Korean14071359Gemini 3.5 Flash Lite
LMArena Text: French14511410Gemini 3.5 Flash Lite
LMArena Text: Spanish14411407Gemini 3.5 Flash Lite
LMArena Text: Russian14431390Gemini 3.5 Flash Lite
LMArena Text: Polish14371375Gemini 3.5 Flash Lite
LMArena Text: multi-turn14451410Gemini 3.5 Flash Lite
LMArena Text: longer queries14351413Gemini 3.5 Flash Lite
LMArena Text: writing and language14281380Gemini 3.5 Flash Lite
LMArena Text: entertainment and media14141363Gemini 3.5 Flash Lite
LMArena Vision: English12691246Gemini 3.5 Flash Lite
LMArena Vision: Chinese13111301Gemini 3.5 Flash Lite
LMArena Vision: reading text12801246Gemini 3.5 Flash Lite
LMArena Vision: humor12871227Gemini 3.5 Flash Lite
LMArena Vision: captioningNot measured1170Only Qwen3.5-27B measured
LMArena Vision: recognizing thingsNot measured1210Only Qwen3.5-27B measured
LMArena Vision: creative writing12601224Gemini 3.5 Flash Lite
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 3.5 Flash LiteQwen3.5-27BLeader
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 3.5 Flash Lite$0.0015Fits in one request
Qwen3.5-27B$0.0010Fits in one request

Qwen3.5-27B costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request
Qwen3.5-27B$0.014Fits in one request

Qwen3.5-27B costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits 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 3.5 Flash Lite and Qwen3.5-27B
SpecificationGoogle Gemini 3.5 Flash LiteQwen3.5-27B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$0.30$0.195
Output $/Mtok$2.50$1.56
Coding index49.0Not benchmarked
Independent measurements behind it31
Cost per solved task$0.41Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than Qwen3.5-27B for coding?

Only Gemini 3.5 Flash Lite has a coding score, 49.0 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 1.6x cheaper ($1.56 vs $2.50 per million) and work measured by WeirdML or AA Intelligence Index, where it leads.

Which is cheaper, Gemini 3.5 Flash Lite or Qwen3.5-27B?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Qwen3.5-27B costs $0.195 and $1.56. Cost per solved task is known for Gemini 3.5 Flash Lite only.

Which has the bigger context window, Gemini 3.5 Flash Lite or Qwen3.5-27B?

Gemini 3.5 Flash Lite, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.5 Flash Lite vs Qwen3.5-27B comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 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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