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Qwen3.5 397B A17B vs Qwen3.7 Plus

Qwen3.7 Plus leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 25.2 to 21.4, and Qwen3.7 Plus costs 1.8x less per output token ($1.28 vs $2.34 per million). Updated October 22, 2026; 58 benchmarks have a result for both.

Replace Qwen3.5 397B A17B Replace Qwen3.7 Plus
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
10
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
48
vs boards won of 58 shared

Qwen3.5 397B A17B or Qwen3.7 Plus: which to pick

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.

Pick Qwen3.5 397B A17B for work measured by τ²-Bench Telecom or Mystery game puzzles, where it leads.

Model AQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
58
Qwen3.5 397B A17B only
7
Qwen3.7 Plus only
17
Like-for-like categories
8 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
Qwen3.5 397B A17B not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Web design, 11.4 points apart on average over 7 shared benchmarks.
Widest single gap
Design Arena: game dev: Qwen3.5 397B A17B 1140 against Qwen3.7 Plus 1261, 15.1 points apart on a 0 to 100 scale.
Output price
Qwen3.5 397B A17B $2.34 against Qwen3.7 Plus $1.28 per million output tokens, 1.8x apart.
Context window
Qwen3.5 397B A17B takes 262K tokens, Qwen3.7 Plus 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
CategoryQwen3.5 397B A17BBarsQwen3.7 PlusTies
Coding04
Intelligence02
Agentic work10
Reasoning18
Math04
Knowledge13
Web design07
General720
All shared boards1048
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Qwen3.5 397B A17B and Qwen3.7 Plus
BenchmarkQwen3.5 397B A17BQwen3.7 PlusLeader
LMArena WebDev1400Not measuredOnly Qwen3.5 397B A17B measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
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
SciCode44.8%46.1%Qwen3.7 Plus
Terminal-Bench Hard (Artificial Analysis run)40.9%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
ALE-Bench621.9Not measuredOnly Qwen3.5 397B A17B measured
LMArena Text: coding14641473Qwen3.7 Plus
LMArena Text: software and IT14631473Qwen3.7 Plus
LMArena WebDev: React1388Not measuredOnly Qwen3.5 397B A17B measured
LMArena WebDev: HTML1410Not measuredOnly Qwen3.5 397B A17B measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Qwen3.5 397B A17B and Qwen3.7 Plus
BenchmarkQwen3.5 397B A17BQwen3.7 PlusLeader
AA Intelligence Index21.425.2Qwen3.7 Plus
Epoch Capabilities Index146.8147.0Qwen3.7 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Qwen3.5 397B A17B and Qwen3.7 Plus
BenchmarkQwen3.5 397B A17BQwen3.7 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 Telecom95.6%93.0%Qwen3.5 397B A17B
APEX-Agents24.9%Not measuredOnly Qwen3.5 397B A17B measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index18
Reasoning benchmarks for Qwen3.5 397B A17B and Qwen3.7 Plus
BenchmarkQwen3.5 397B A17BQwen3.7 PlusLeader
GPQA Diamond (Artificial Analysis run)89.3%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)29.0%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)86.4%87.9%Qwen3.7 Plus
Mystery game puzzles18.0%17.0%Qwen3.5 397B A17B
LMArena Text: hard prompts14481460Qwen3.7 Plus
LMArena Text: expert14621466Qwen3.7 Plus
LMArena Text: hard prompts in English14501460Qwen3.7 Plus
LMArena Vision: diagrams12771292Qwen3.7 Plus
LMArena Vision: homework12921295Qwen3.7 Plus
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Qwen3.5 397B A17B and Qwen3.7 Plus
BenchmarkQwen3.5 397B A17BQwen3.7 PlusLeader
OTIS Mock AIME88.9%93.3%Qwen3.7 Plus
FrontierMath, tiers 1 to 331.2%34.4%Qwen3.7 Plus
LMArena Text: math14531467Qwen3.7 Plus
LMArena Text: mathematical work14541470Qwen3.7 Plus
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for Qwen3.5 397B A17B and Qwen3.7 Plus
BenchmarkQwen3.5 397B A17BQwen3.7 PlusLeader
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
LMArena Text: science14571464Qwen3.7 Plus
LMArena Text: medicine and healthcare14551464Qwen3.7 Plus
LMArena Text: legal and government14411451Qwen3.7 Plus
LMArena Text: business and finance14351435Qwen3.5 397B A17B
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Qwen3.5 397B A17B and Qwen3.7 Plus
BenchmarkQwen3.5 397B A17BQwen3.7 PlusLeader
Design Arena: websites11901269Qwen3.7 Plus
Design Arena: UI components11601258Qwen3.7 Plus
Design Arena: game dev11401261Qwen3.7 Plus
Design Arena: data viz11751276Qwen3.7 Plus
Design Arena: 3D11601238Qwen3.7 Plus
Design Arena: all code categories11791269Qwen3.7 Plus
Design Arena: SVG11391208Qwen3.7 Plus
Design Arena: ASCII artNot measured1143Only 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 index720
General benchmarks for Qwen3.5 397B A17B and Qwen3.7 Plus
BenchmarkQwen3.5 397B A17BQwen3.7 PlusLeader
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench78.8%78.0%Qwen3.5 397B A17B
Long context reasoning (AA-LCR)77.3%73.0%Qwen3.5 397B A17B
DTBench87.5%84.0%Qwen3.5 397B A17B
LMCA37.9%37.6%Qwen3.5 397B A17B
LMArena Text14371454Qwen3.7 Plus
LMArena Text: instruction following14241439Qwen3.7 Plus
LMArena Text: creative writing14021438Qwen3.7 Plus
LMArena Vision12621278Qwen3.7 Plus
LMArena Text: English14431458Qwen3.7 Plus
LMArena Text: non-English14301445Qwen3.7 Plus
LMArena Text: Chinese14981509Qwen3.7 Plus
LMArena Text: German14451471Qwen3.7 Plus
LMArena Text: Japanese14291412Qwen3.5 397B A17B
LMArena Text: Korean13841413Qwen3.7 Plus
LMArena Text: French14621472Qwen3.7 Plus
LMArena Text: Spanish14411457Qwen3.7 Plus
LMArena Text: Russian14301457Qwen3.7 Plus
LMArena Text: Polish14471449Qwen3.7 Plus
LMArena Text: multi-turn14461459Qwen3.7 Plus
LMArena Text: longer queries14411454Qwen3.7 Plus
LMArena Text: writing and language14151437Qwen3.7 Plus
LMArena Text: entertainment and media13991422Qwen3.7 Plus
LMArena Vision: English12681280Qwen3.7 Plus
LMArena Vision: Chinese13141332Qwen3.7 Plus
LMArena Vision: reading text12711288Qwen3.7 Plus
LMArena Vision: humor12621261Qwen3.5 397B A17B
LMArena Vision: captioning1230Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: recognizing things1265Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: creative writing12601258Qwen3.5 397B A17B
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
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 Qwen3.5 397B A17B and Qwen3.7 Plus
BenchmarkQwen3.5 397B A17BQwen3.7 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

Qwen3.5 397B A17B$0.0016Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Qwen3.5 397B A17B$0.027Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Qwen3.5 397B A17B$0.101Fits 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 Qwen3.5 397B A17B and Qwen3.7 Plus
SpecificationQwen3.5 397B A17BQwen3.7 Plus
MakerQwenQwen
WeightsOpen weightsNo public weights listed
ReleasedFebruary 16, 2026June 3, 2026
Context window262K1M
Input $/Mtok$0.39$0.32
Output $/Mtok$2.34$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5 397B A17B better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for work measured by τ²-Bench Telecom or Mystery game puzzles, where it leads.

Which is cheaper, Qwen3.5 397B A17B or Qwen3.7 Plus?

Qwen3.5 397B A17B costs $0.39 per million input tokens and $2.34 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, Qwen3.5 397B A17B or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 262K.

How many benchmarks is the Qwen3.5 397B A17B vs Qwen3.7 Plus comparison based on?

58 benchmarks have a result for both models as of October 22, 2026. Qwen3.5 397B A17B's coding index rests on 1 independent benchmark 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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