Enter opens the highlighted result. Esc closes.

Nova Lite 1.0 vs Qwen3.5-27B

Qwen3.5-27B leads Nova Lite 1.0 on the Artificial Analysis Intelligence Index, 22.9 to 6.7, and Nova Lite 1.0 costs 6.5x less per output token ($0.24 vs $1.56 per million). Updated October 21, 2026; 36 benchmarks have a result for both.

Replace Nova Lite 1.0 Replace Qwen3.5-27B
Nova Lite 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$0.24
0
Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
36
vs boards won of 36 shared

Nova Lite 1.0 or Qwen3.5-27B: which to pick

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

Pick Nova Lite 1.0 for output tokens 6.5x cheaper ($0.24 vs $1.56 per million) and a larger context window (300K against 262K tokens).

Model ANova Lite 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5-27BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
36
Nova Lite 1.0 only
5
Qwen3.5-27B only
17
Like-for-like categories
7 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
Nova Lite 1.0 not benchmarked, Qwen3.5-27B not benchmarked.
Widest category
Agentic work, 76.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Nova Lite 1.0 17.5% against Qwen3.5-27B 93.9%, 76.3 points apart on a 0 to 100 scale.
Output price
Nova Lite 1.0 $0.24 against Qwen3.5-27B $1.56 per million output tokens, 6.5x apart.
Context window
Nova Lite 1.0 takes 300K 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
CategoryNova Lite 1.0BarsQwen3.5-27BTies
Coding03
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General020
All shared boards036
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Nova Lite 1.0 and Qwen3.5-27B
BenchmarkNova Lite 1.0Qwen3.5-27BLeader
LMArena WebDevNot measured1358Only Qwen3.5-27B measured
LiveCodeBench (Artificial Analysis run)16.7%Not measuredOnly Nova Lite 1.0 measured
Terminal-Bench Hard (Artificial Analysis run)0.8%32.6%Qwen3.5-27B
WeirdMLNot measured39.5%Only Qwen3.5-27B measured
ALE-BenchNot measured349.4Only Qwen3.5-27B measured
LMArena Text: coding12391427Qwen3.5-27B
LMArena Text: software and IT12411431Qwen3.5-27B
LMArena WebDev: ReactNot measured1346Only Qwen3.5-27B measured
LMArena WebDev: HTMLNot measured1386Only Qwen3.5-27B measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Lite 1.0 and Qwen3.5-27B
BenchmarkNova Lite 1.0Qwen3.5-27BLeader
AA Intelligence Index6.722.9Qwen3.5-27B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Lite 1.0 and Qwen3.5-27B
BenchmarkNova Lite 1.0Qwen3.5-27BLeader
τ²-Bench Telecom17.5%93.9%Qwen3.5-27B
Vending-Bench 2Not measured$202Only Qwen3.5-27B measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Nova Lite 1.0 and Qwen3.5-27B
BenchmarkNova Lite 1.0Qwen3.5-27BLeader
GPQA Diamond (Artificial Analysis run)43.3%85.8%Qwen3.5-27B
Humanity's Last Exam (Artificial Analysis run)4.3%23.9%Qwen3.5-27B
LMArena Text: hard prompts12201415Qwen3.5-27B
LMArena Text: expert12011427Qwen3.5-27B
LMArena Text: hard prompts in English12261429Qwen3.5-27B
LMArena Vision: diagramsNot measured1249Only Qwen3.5-27B measured
LMArena Vision: homeworkNot measured1256Only Qwen3.5-27B measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova Lite 1.0 and Qwen3.5-27B
BenchmarkNova Lite 1.0Qwen3.5-27BLeader
AA Math Index7.0Not measuredOnly Nova Lite 1.0 measured
AIME 2025 (Artificial Analysis run)7.0%Not measuredOnly Nova Lite 1.0 measured
LMArena Text: math12271429Qwen3.5-27B
LMArena Text: mathematical work12351429Qwen3.5-27B
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nova Lite 1.0 and Qwen3.5-27B
BenchmarkNova Lite 1.0Qwen3.5-27BLeader
MMLU Pro (Artificial Analysis run)59.0%Not measuredOnly Nova Lite 1.0 measured
MMLU77.0%Not measuredOnly Nova Lite 1.0 measured
LMArena Text: science12321437Qwen3.5-27B
LMArena Text: medicine and healthcare12131425Qwen3.5-27B
LMArena Text: legal and government12381405Qwen3.5-27B
LMArena Text: business and finance12191399Qwen3.5-27B
Neither model has a result on the other 12 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Nova Lite 1.0 and Qwen3.5-27B
BenchmarkNova Lite 1.0Qwen3.5-27BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for Nova Lite 1.0 and Qwen3.5-27B
BenchmarkNova Lite 1.0Qwen3.5-27BLeader
IFBench34.1%75.6%Qwen3.5-27B
Long context reasoning (AA-LCR)19.0%77.7%Qwen3.5-27B
DTBenchNot measured82.4%Only Qwen3.5-27B measured
LMCANot measured34.0%Only Qwen3.5-27B measured
LMArena Text12291409Qwen3.5-27B
LMArena Text: instruction following12051393Qwen3.5-27B
LMArena Text: creative writing11971362Qwen3.5-27B
LMArena Vision9901241Qwen3.5-27B
LMArena Text: English12431425Qwen3.5-27B
LMArena Text: non-English12081390Qwen3.5-27B
LMArena Text: Chinese12251478Qwen3.5-27B
LMArena Text: German12291392Qwen3.5-27B
LMArena Text: Japanese11531346Qwen3.5-27B
LMArena Text: Korean11531359Qwen3.5-27B
LMArena Text: French12381410Qwen3.5-27B
LMArena Text: Spanish12261407Qwen3.5-27B
LMArena Text: Russian12161390Qwen3.5-27B
LMArena Text: PolishNot measured1375Only Qwen3.5-27B measured
LMArena Text: multi-turn11991410Qwen3.5-27B
LMArena Text: longer queries12341413Qwen3.5-27B
LMArena Text: writing and language12111380Qwen3.5-27B
LMArena Text: entertainment and media11761363Qwen3.5-27B
LMArena Vision: English9991246Qwen3.5-27B
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 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Lite 1.0 and Qwen3.5-27B
BenchmarkNova Lite 1.0Qwen3.5-27BLeader
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

Nova Lite 1.0$0.0002Fits in one request
Qwen3.5-27B$0.0010Fits in one request

Nova Lite 1.0 costs less

Repository review

50K input + 3K output tokens

Nova Lite 1.0$0.0037Fits in one request
Qwen3.5-27B$0.014Fits in one request

Nova Lite 1.0 costs less

Agent loop

200K input + 10K output tokens

Nova Lite 1.0$0.014Fits in one request
Qwen3.5-27B$0.055Fits in one request

Nova Lite 1.0 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 Nova Lite 1.0 and Qwen3.5-27B
SpecificationAmazon Nova Lite 1.0Qwen3.5-27B
MakerAmazonQwen
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024February 25, 2026
Context window300K262K
Input $/Mtok$0.06$0.195
Output $/Mtok$0.24$1.56
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Lite 1.0 better than Qwen3.5-27B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Lite 1.0 for output tokens 6.5x cheaper ($0.24 vs $1.56 per million) and a larger context window (300K against 262K tokens).

Which is cheaper, Nova Lite 1.0 or Qwen3.5-27B?

Nova Lite 1.0 costs $0.06 per million input tokens and $0.24 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, Nova Lite 1.0 or Qwen3.5-27B?

Nova Lite 1.0, with 300K tokens against 262K.

How many benchmarks is the Nova Lite 1.0 vs Qwen3.5-27B comparison based on?

36 benchmarks have a result for both models as of October 21, 2026. Nova Lite 1.0'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.

Compare next