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Gemini 2.5 Flash Lite vs Qwen3.5-27B

Qwen3.5-27B leads Gemini 2.5 Flash Lite on the Artificial Analysis Intelligence Index, 22.9 to 10.4, and Gemini 2.5 Flash Lite costs 3.9x less per output token ($0.40 vs $1.56 per million). Updated October 22, 2026; 9 benchmarks have a result for both.

Gemini 2.5 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$0.40
0
Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
9
vs boards won of 9 shared

Gemini 2.5 Flash Lite or Qwen3.5-27B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash Lite for output tokens 3.9x cheaper ($0.40 vs $1.56 per million) and a larger context window (1.05M against 262K tokens).

Shared results
9
Gemini 2.5 Flash Lite only
21
Qwen3.5-27B only
44
Like-for-like categories
5 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 2.5 Flash Lite not benchmarked, Qwen3.5-27B not benchmarked.
Widest category
Agentic work, 74.9 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemini 2.5 Flash Lite 19.0% against Qwen3.5-27B 93.9%, 74.9 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash Lite $0.40 against Qwen3.5-27B $1.56 per million output tokens, 3.9x apart.
Context window
Gemini 2.5 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 2.5 Flash LiteBarsQwen3.5-27BTies
Coding01
Intelligence01
Agentic work01
Reasoning02
General04
All shared boards09
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Gemini 2.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 2.5 Flash LiteQwen3.5-27BLeader
LMArena WebDevNot measured1358Only Qwen3.5-27B measured
LiveCodeBench (Vals AI)71.4%Not measuredOnly Gemini 2.5 Flash Lite measured
LiveCodeBench (Artificial Analysis run)59.3%Not measuredOnly Gemini 2.5 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)4.5%32.6%Qwen3.5-27B
WeirdMLNot measured39.5%Only Qwen3.5-27B measured
ALE-BenchNot measured349.4Only Qwen3.5-27B measured
LMArena Text: codingNot measured1427Only Qwen3.5-27B measured
LMArena Text: software and ITNot measured1431Only Qwen3.5-27B measured
LMArena WebDev: ReactNot measured1346Only Qwen3.5-27B measured
LMArena WebDev: HTMLNot measured1386Only Qwen3.5-27B measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 2.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 2.5 Flash LiteQwen3.5-27BLeader
AA Intelligence Index10.422.9Qwen3.5-27B
Epoch Capabilities Index133.8Not measuredOnly Gemini 2.5 Flash Lite measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 2.5 Flash LiteQwen3.5-27BLeader
τ²-Bench Telecom19.0%93.9%Qwen3.5-27B
Vending-Bench 2Not measured$202Only Qwen3.5-27B measured
Berkeley Function Calling Leaderboard (BFCL)36.9%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Gemini 2.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 2.5 Flash LiteQwen3.5-27BLeader
GPQA Diamond70.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMMU Pro (Vals AI)75.4%Not measuredOnly Gemini 2.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)62.5%85.8%Qwen3.5-27B
Humanity's Last Exam (Artificial Analysis run)6.8%23.9%Qwen3.5-27B
LMArena Text: hard promptsNot measured1415Only Qwen3.5-27B measured
LMArena Text: expertNot measured1427Only Qwen3.5-27B measured
LMArena Text: hard prompts in EnglishNot measured1429Only Qwen3.5-27B measured
LMArena Vision: diagramsNot measured1249Only Qwen3.5-27B measured
LMArena Vision: homeworkNot measured1256Only Qwen3.5-27B measured
Kagi LLM Benchmark40.5%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Gemini 2.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 2.5 Flash LiteQwen3.5-27BLeader
AIME42.1%Not measuredOnly Gemini 2.5 Flash Lite measured
MGSM (Vals AI)89.5%Not measuredOnly Gemini 2.5 Flash Lite measured
AA Math Index53.3Not measuredOnly Gemini 2.5 Flash Lite measured
AIME 2025 (Artificial Analysis run)53.3%Not measuredOnly Gemini 2.5 Flash Lite measured
LMArena Text: mathNot measured1429Only Qwen3.5-27B measured
LMArena Text: mathematical workNot measured1429Only Qwen3.5-27B measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Gemini 2.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 2.5 Flash LiteQwen3.5-27BLeader
MMLU Pro79.1%Not measuredOnly Gemini 2.5 Flash Lite measured
LegalBench (Vals AI)82.0%Not measuredOnly Gemini 2.5 Flash Lite measured
CorpFin (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
TaxEval (Vals AI)66.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MortgageTax (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
MedQA (Vals AI)88.9%Not measuredOnly Gemini 2.5 Flash Lite measured
MedCode (Vals AI)34.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)75.9%Not measuredOnly Gemini 2.5 Flash Lite measured
LMArena Text: scienceNot measured1437Only Qwen3.5-27B measured
LMArena Text: medicine and healthcareNot measured1425Only Qwen3.5-27B measured
LMArena Text: legal and governmentNot measured1405Only Qwen3.5-27B measured
LMArena Text: business and financeNot measured1399Only Qwen3.5-27B measured
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 2.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 2.5 Flash LiteQwen3.5-27BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index04
General benchmarks for Gemini 2.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 2.5 Flash LiteQwen3.5-27BLeader
SAGE (Vals AI)30.8%Not measuredOnly Gemini 2.5 Flash Lite measured
MedScribe (Vals AI)75.8%Not measuredOnly Gemini 2.5 Flash Lite measured
IFBench49.9%75.6%Qwen3.5-27B
Long context reasoning (AA-LCR)55.7%77.7%Qwen3.5-27B
DTBench62.8%82.4%Qwen3.5-27B
LMCA18.1%34.0%Qwen3.5-27B
LMArena TextNot measured1409Only Qwen3.5-27B measured
LMArena Text: instruction followingNot measured1393Only Qwen3.5-27B measured
LMArena Text: creative writingNot measured1362Only Qwen3.5-27B measured
LMArena VisionNot measured1241Only Qwen3.5-27B measured
LMArena Text: EnglishNot measured1425Only Qwen3.5-27B measured
LMArena Text: non-EnglishNot measured1390Only Qwen3.5-27B measured
LMArena Text: ChineseNot measured1478Only Qwen3.5-27B measured
LMArena Text: GermanNot measured1392Only Qwen3.5-27B measured
LMArena Text: JapaneseNot measured1346Only Qwen3.5-27B measured
LMArena Text: KoreanNot measured1359Only Qwen3.5-27B measured
LMArena Text: FrenchNot measured1410Only Qwen3.5-27B measured
LMArena Text: SpanishNot measured1407Only Qwen3.5-27B measured
LMArena Text: RussianNot measured1390Only Qwen3.5-27B measured
LMArena Text: PolishNot measured1375Only Qwen3.5-27B measured
LMArena Text: multi-turnNot measured1410Only Qwen3.5-27B measured
LMArena Text: longer queriesNot measured1413Only Qwen3.5-27B measured
LMArena Text: writing and languageNot measured1380Only Qwen3.5-27B measured
LMArena Text: entertainment and mediaNot measured1363Only Qwen3.5-27B measured
LMArena Vision: EnglishNot measured1246Only Qwen3.5-27B measured
LMArena Vision: ChineseNot measured1301Only Qwen3.5-27B measured
LMArena Vision: reading textNot measured1246Only Qwen3.5-27B measured
LMArena Vision: humorNot measured1227Only Qwen3.5-27B measured
LMArena Vision: captioningNot measured1170Only Qwen3.5-27B measured
LMArena Vision: recognizing thingsNot measured1210Only Qwen3.5-27B measured
LMArena Vision: creative writingNot measured1224Only Qwen3.5-27B measured
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 2.5 Flash Lite and Qwen3.5-27B
BenchmarkGemini 2.5 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 2.5 Flash Lite$0.0003Fits in one request
Qwen3.5-27B$0.0010Fits in one request

Gemini 2.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash Lite$0.0062Fits in one request
Qwen3.5-27B$0.014Fits in one request

Gemini 2.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash Lite$0.024Fits in one request
Qwen3.5-27B$0.055Fits in one request

Gemini 2.5 Flash Lite 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 2.5 Flash Lite and Qwen3.5-27B
SpecificationGoogle Gemini 2.5 Flash LiteQwen3.5-27B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 22, 2025February 25, 2026
Context window1.05M262K
Input $/Mtok$0.10$0.195
Output $/Mtok$0.40$1.56
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash Lite better than Qwen3.5-27B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for output tokens 3.9x cheaper ($0.40 vs $1.56 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, Gemini 2.5 Flash Lite or Qwen3.5-27B?

Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; Qwen3.5-27B costs $0.195 and $1.56. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Flash Lite or Qwen3.5-27B?

Gemini 2.5 Flash Lite, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 2.5 Flash Lite vs Qwen3.5-27B comparison based on?

9 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 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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