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Nova 2 Lite vs Qwen3.7 Plus

Updated October 21, 2026. 30 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Nova 2 LiteAmazon
Coding
No data
Overall
13.4
Output $/M
$2.50
0
Qwen3.7 PlusQwen
Coding
33.2
Overall
25.2
Output $/M
$1.28
30
vs boards won of 30 shared

Decision reading

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Nova 2 Lite has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
30
Nova 2 Lite only
1
Qwen3.7 Plus only
45
Like-for-like categories
6 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
Nova 2 Lite not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Coding, 20.2 points apart on average over 3 shared benchmarks.
Widest single gap
AA Coding Index: Nova 2 Lite 23.0 against Qwen3.7 Plus 55.9, 32.9 points apart on a 0 to 100 scale.
Output price
Nova 2 Lite $2.50 against Qwen3.7 Plus $1.28 per million output tokens, 2.0x apart.
Context window
Both take 1M tokens.

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 2 LiteBarsQwen3.7 PlusTies
Coding03
Intelligence01
Reasoning03
Math02
Knowledge04
General017
All shared boards030
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Nova 2 Lite and Qwen3.7 Plus
BenchmarkNova 2 LiteQwen3.7 PlusLeader
AA Coding Index23.055.9Qwen3.7 Plus
Vibe Code Bench (Vals AI)Not measured46.4%Only Qwen3.7 Plus measured
Code migration (Vals AI)Not measured12.9%Only Qwen3.7 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured52.8%Only Qwen3.7 Plus measured
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
ALE-Bench236.3Not measuredOnly Nova 2 Lite measured
LMArena Text: coding13851473Qwen3.7 Plus
LMArena Text: software and IT13941473Qwen3.7 Plus
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova 2 Lite and Qwen3.7 Plus
BenchmarkNova 2 LiteQwen3.7 PlusLeader
AA Intelligence Index13.425.2Qwen3.7 Plus
Epoch Capabilities IndexNot measured147.0Only Qwen3.7 Plus measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for Nova 2 Lite and Qwen3.7 Plus
BenchmarkNova 2 LiteQwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
Finance Agent (Vals AI)Not measured38.2%Only Qwen3.7 Plus measured
Tax Agent Bench (Vals AI)Not measured10.5%Only Qwen3.7 Plus measured
Legal Research Bench (Vals AI)Not measured16.4%Only Qwen3.7 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured49.3%Only Qwen3.7 Plus measured
τ²-Bench TelecomNot measured93.0%Only Qwen3.7 Plus measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Nova 2 Lite and Qwen3.7 Plus
BenchmarkNova 2 LiteQwen3.7 PlusLeader
GPQA Diamond (Artificial Analysis run)Not measured90.0%Only Qwen3.7 Plus measured
Humanity's Last Exam (Artificial Analysis run)Not measured35.6%Only Qwen3.7 Plus measured
GPQA Diamond (Epoch AI run)Not measured87.9%Only Qwen3.7 Plus measured
Mystery game puzzlesNot measured17.0%Only Qwen3.7 Plus measured
LMArena Text: hard prompts13641460Qwen3.7 Plus
LMArena Text: expert13591466Qwen3.7 Plus
LMArena Text: hard prompts in English13851460Qwen3.7 Plus
LMArena Vision: diagramsNot measured1292Only Qwen3.7 Plus measured
LMArena Vision: homeworkNot measured1295Only Qwen3.7 Plus measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova 2 Lite and Qwen3.7 Plus
BenchmarkNova 2 LiteQwen3.7 PlusLeader
OTIS Mock AIMENot measured93.3%Only Qwen3.7 Plus measured
FrontierMath, tiers 1 to 3Not measured34.4%Only Qwen3.7 Plus measured
LMArena Text: math13591467Qwen3.7 Plus
LMArena Text: mathematical work13691470Qwen3.7 Plus
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 2 Lite and Qwen3.7 Plus
BenchmarkNova 2 LiteQwen3.7 PlusLeader
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
LMArena Text: science13821464Qwen3.7 Plus
LMArena Text: medicine and healthcare13861464Qwen3.7 Plus
LMArena Text: legal and government13591451Qwen3.7 Plus
LMArena Text: business and finance13691435Qwen3.7 Plus
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Nova 2 Lite and Qwen3.7 Plus
BenchmarkNova 2 LiteQwen3.7 PlusLeader
Design Arena: websitesNot measured1269Only Qwen3.7 Plus measured
Design Arena: UI componentsNot measured1261Only Qwen3.7 Plus measured
Design Arena: game devNot measured1262Only Qwen3.7 Plus measured
Design Arena: data vizNot measured1275Only Qwen3.7 Plus measured
Design Arena: 3DNot measured1239Only Qwen3.7 Plus measured
Design Arena: all code categoriesNot measured1269Only Qwen3.7 Plus measured
Design Arena: SVGNot measured1208Only Qwen3.7 Plus measured
Design Arena: ASCII artNot measured1144Only Qwen3.7 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for Nova 2 Lite and Qwen3.7 Plus
BenchmarkNova 2 LiteQwen3.7 PlusLeader
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)Not measured73.0%Only Qwen3.7 Plus measured
DTBenchNot measured84.0%Only Qwen3.7 Plus measured
LMCANot measured37.6%Only Qwen3.7 Plus measured
LMArena Text13621454Qwen3.7 Plus
LMArena Text: instruction following13351439Qwen3.7 Plus
LMArena Text: creative writing12921438Qwen3.7 Plus
LMArena VisionNot measured1278Only Qwen3.7 Plus measured
LMArena Text: English13851458Qwen3.7 Plus
LMArena Text: non-English13371445Qwen3.7 Plus
LMArena Text: Chinese13641509Qwen3.7 Plus
LMArena Text: German13431471Qwen3.7 Plus
LMArena Text: Japanese12731412Qwen3.7 Plus
LMArena Text: Korean12811413Qwen3.7 Plus
LMArena Text: French13811472Qwen3.7 Plus
LMArena Text: Spanish13751457Qwen3.7 Plus
LMArena Text: Russian13421457Qwen3.7 Plus
LMArena Text: Polish13271449Qwen3.7 Plus
LMArena Text: multi-turn13381459Qwen3.7 Plus
LMArena Text: longer queries13351454Qwen3.7 Plus
LMArena Text: writing and language13181437Qwen3.7 Plus
LMArena Text: entertainment and media13091422Qwen3.7 Plus
LMArena Vision: EnglishNot measured1280Only Qwen3.7 Plus measured
LMArena Vision: ChineseNot measured1332Only Qwen3.7 Plus measured
LMArena Vision: reading textNot measured1288Only Qwen3.7 Plus measured
LMArena Vision: humorNot measured1261Only Qwen3.7 Plus measured
LMArena Vision: creative writingNot measured1258Only Qwen3.7 Plus measured
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova 2 Lite and Qwen3.7 Plus
BenchmarkNova 2 LiteQwen3.7 PlusLeader
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 2 Lite$0.0015Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Nova 2 Lite$0.022Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Nova 2 Lite$0.085Fits in one request
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 Plus 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 2 Lite and Qwen3.7 Plus
SpecificationAmazon Nova 2 LiteQwen3.7 Plus
MakerAmazonQwen
WeightsNo public weights listedNo public weights listed
ReleasedDecember 2, 2025June 3, 2026
Context window1M1M
Input $/Mtok$0.30$0.32
Output $/Mtok$2.50$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it02
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova 2 Lite better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Nova 2 Lite has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Nova 2 Lite or Qwen3.7 Plus?

Nova 2 Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova 2 Lite or Qwen3.7 Plus?

Neither: both take 1M tokens.

How many benchmarks is the Nova 2 Lite vs Qwen3.7 Plus comparison based on?

30 benchmarks have a result for both models as of October 21, 2026. Nova 2 Lite's coding index rests on 0 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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