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Qwen3.5-Flash vs Qwen3.7 Max

Qwen3.7 Max leads Qwen3.5-Flash on coding, 54.1 to 41.1 on the Vibe Coding Index, and Qwen3.5-Flash costs 17.0x less per output token ($0.26 vs $4.425 per million). Updated October 22, 2026; 22 benchmarks have a result for both.

Replace Qwen3.5-Flash Replace Qwen3.7 Max
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
0
Qwen3.7 MaxQwen
Coding
54.1
Overall
61.7
Output $/M
$4.425
22
vs boards won of 22 shared

Qwen3.5-Flash or Qwen3.7 Max: which to pick

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash.

Pick Qwen3.5-Flash for output tokens 17.0x cheaper ($0.26 vs $4.425 per million) and a lower cost per solved task ($0.40 against $4.69).

Model AQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved taskModel BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task
Shared results
22
Qwen3.5-Flash only
33
Qwen3.7 Max only
38
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
Qwen3.5-Flash 41.1 from 2 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category
Math, 28.7 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena WebDev: React: Qwen3.5-Flash 1229 against Qwen3.7 Max 1514, 47.4 points apart on a 0 to 100 scale.
Output price
Qwen3.5-Flash $0.26 against Qwen3.7 Max $4.425 per million output tokens, 17.0x 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
CategoryQwen3.5-FlashBarsQwen3.7 MaxTies
Coding06
Intelligence01
Reasoning04
Math02
Knowledge06
General03
All shared boards022
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Qwen3.5-Flash and Qwen3.7 Max
BenchmarkQwen3.5-FlashQwen3.7 MaxLeader
LMArena WebDev12441515Qwen3.7 Max
AA Coding IndexNot measured66.0Only Qwen3.7 Max measured
LiveCodeBench (Vals AI)83.3%87.1%Qwen3.7 Max
SWE-bench Verified (Vals AI)64.4%68.8%Qwen3.7 Max
Vibe Code Bench (Vals AI)Not measured47.7%Only Qwen3.7 Max measured
Code migration (Vals AI)Not measured13.1%Only Qwen3.7 Max measured
Terminal-Bench 2.1 (Vals AI)Not measured61.0%Only Qwen3.7 Max measured
SciCodeNot measured49.5%Only Qwen3.7 Max measured
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only Qwen3.7 Max measured
ALE-Bench265.91189.4Qwen3.7 Max
LMArena Text: coding1412Not measuredOnly Qwen3.5-Flash measured
LMArena Text: software and IT1416Not measuredOnly Qwen3.5-Flash measured
LMArena WebDev: React12291514Qwen3.7 Max
LMArena WebDev: HTML12911512Qwen3.7 Max
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 Qwen3.5-Flash and Qwen3.7 Max
BenchmarkQwen3.5-FlashQwen3.7 MaxLeader
AA Intelligence IndexNot measured29.5Only Qwen3.7 Max measured
Epoch Capabilities Index143.5154.0Qwen3.7 Max
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Agentic work benchmarks for Qwen3.5-Flash and Qwen3.7 Max
BenchmarkQwen3.5-FlashQwen3.7 MaxLeader
AA Agentic IndexNot measured22.5Only Qwen3.7 Max measured
Design Arena: agents building web appsNot measured1208Only Qwen3.7 Max measured
Design Arena: agents building full-stack appsNot measured1191Only Qwen3.7 Max measured
Design Arena: agents building mobile appsNot measured1154Only Qwen3.7 Max measured
Design Arena: agents building Android appsNot measured1159Only Qwen3.7 Max measured
Design Arena: agents building Godot gamesNot measured1187Only Qwen3.7 Max measured
Design Arena: agents building gamesNot measured1161Only Qwen3.7 Max measured
Design Arena: HTML slidesNot measured1098Only Qwen3.7 Max measured
Design Arena: PowerPoint slidesNot measured1169Only Qwen3.7 Max measured
Finance Agent (Vals AI)Not measured47.8%Only Qwen3.7 Max measured
Tax Agent Bench (Vals AI)Not measured15.8%Only Qwen3.7 Max measured
Legal Research Bench (Vals AI)Not measured25.5%Only Qwen3.7 Max measured
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Qwen3.7 Max measured
τ²-Bench TelecomNot measured94.7%Only Qwen3.7 Max measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Qwen3.5-Flash and Qwen3.7 Max
BenchmarkQwen3.5-FlashQwen3.7 MaxLeader
GPQA Diamond82.8%90.2%Qwen3.7 Max
MMMU Pro (Vals AI)81.9%Not measuredOnly Qwen3.5-Flash measured
GPQA Diamond (Artificial Analysis run)Not measured92.3%Only Qwen3.7 Max measured
Humanity's Last Exam (Artificial Analysis run)Not measured40.5%Only Qwen3.7 Max measured
GPQA Diamond (Epoch AI run)82.3%90.9%Qwen3.7 Max
SimpleBenchNot measured70.4%Only Qwen3.7 Max measured
Chess puzzles14.0%26.0%Qwen3.7 Max
Mystery game puzzles20.0%32.0%Qwen3.7 Max
EBR-benchNot measured9.5%Only Qwen3.7 Max measured
LMArena Text: hard prompts1403Not measuredOnly Qwen3.5-Flash measured
LMArena Text: expert1407Not measuredOnly Qwen3.5-Flash measured
LMArena Text: hard prompts in English1409Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3.5-Flash and Qwen3.7 Max
BenchmarkQwen3.5-FlashQwen3.7 MaxLeader
AIME92.5%Not measuredOnly Qwen3.5-Flash measured
OTIS Mock AIME84.4%95.6%Qwen3.7 Max
FrontierMath, tiers 1 to 318.2%64.6%Qwen3.7 Max
FrontierMath, tier 4Not measured34.1%Only Qwen3.7 Max measured
ProofBenchNot measured26.0%Only Qwen3.7 Max measured
LMArena Text: math1407Not measuredOnly Qwen3.5-Flash measured
LMArena Text: mathematical work1413Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for Qwen3.5-Flash and Qwen3.7 Max
BenchmarkQwen3.5-FlashQwen3.7 MaxLeader
MMLU Pro84.1%89.3%Qwen3.7 Max
LegalBench (Vals AI)84.3%84.9%Qwen3.7 Max
CaseLaw (Vals AI)56.0%Not measuredOnly Qwen3.5-Flash measured
CorpFin (Vals AI)63.6%63.7%Qwen3.7 Max
TaxEval (Vals AI)72.2%75.3%Qwen3.7 Max
MortgageTax (Vals AI)67.4%Not measuredOnly Qwen3.5-Flash measured
MedCode (Vals AI)33.0%38.8%Qwen3.7 Max
SimpleQA Verified20.3%55.8%Qwen3.7 Max
LMArena Text: science1415Not measuredOnly Qwen3.5-Flash measured
LMArena Text: medicine and healthcare1407Not measuredOnly Qwen3.5-Flash measured
LMArena Text: legal and government1398Not measuredOnly Qwen3.5-Flash measured
LMArena Text: business and finance1394Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Qwen3.5-Flash and Qwen3.7 Max
BenchmarkQwen3.5-FlashQwen3.7 MaxLeader
Design Arena: websitesNot measured1274Only Qwen3.7 Max measured
Design Arena: UI componentsNot measured1267Only Qwen3.7 Max measured
Design Arena: game devNot measured1265Only Qwen3.7 Max measured
Design Arena: data vizNot measured1276Only Qwen3.7 Max measured
Design Arena: 3DNot measured1265Only Qwen3.7 Max measured
Design Arena: all code categoriesNot measured1275Only Qwen3.7 Max measured
Design Arena: SVGNot measured1216Only Qwen3.7 Max measured
Design Arena: ASCII artNot measured1211Only Qwen3.7 Max measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
General benchmarks for Qwen3.5-Flash and Qwen3.7 Max
BenchmarkQwen3.5-FlashQwen3.7 MaxLeader
SAGE (Vals AI)42.5%Not measuredOnly Qwen3.5-Flash measured
MedScribe (Vals AI)70.6%79.4%Qwen3.7 Max
IFBenchNot measured80.5%Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)Not measured79.0%Only Qwen3.7 Max measured
DTBench82.9%92.3%Qwen3.7 Max
LMCA29.1%44.0%Qwen3.7 Max
LMArena Text1397Not measuredOnly Qwen3.5-Flash measured
LMArena Text: instruction following1374Not measuredOnly Qwen3.5-Flash measured
LMArena Text: creative writing1343Not measuredOnly Qwen3.5-Flash measured
LMArena Text: English1404Not measuredOnly Qwen3.5-Flash measured
LMArena Text: non-English1385Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Chinese1445Not measuredOnly Qwen3.5-Flash measured
LMArena Text: German1390Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Japanese1369Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Korean1344Not measuredOnly Qwen3.5-Flash measured
LMArena Text: French1413Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Spanish1400Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Russian1380Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Polish1376Not measuredOnly Qwen3.5-Flash measured
LMArena Text: multi-turn1393Not measuredOnly Qwen3.5-Flash measured
LMArena Text: longer queries1392Not measuredOnly Qwen3.5-Flash measured
LMArena Text: writing and language1369Not measuredOnly Qwen3.5-Flash measured
LMArena Text: entertainment and media1347Not measuredOnly Qwen3.5-Flash measured
EQ-Bench 4Not measured1110Only Qwen3.7 Max measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5-Flash and Qwen3.7 Max
BenchmarkQwen3.5-FlashQwen3.7 MaxLeader
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-Flash$0.0002Fits in one request
Qwen3.7 Max$0.0037Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Qwen3.5-Flash$0.0040Fits in one request
Qwen3.7 Max$0.087Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-Flash$0.016Fits in one request
Qwen3.7 Max$0.339Fits in one request

Qwen3.5-Flash 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-Flash and Qwen3.7 Max
SpecificationQwen3.5-FlashQwen3.7 Max
MakerQwenQwen
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 25, 2026May 21, 2026
Context window1M1M
Input $/Mtok$0.065$1.475
Output $/Mtok$0.26$4.425
Coding index41.154.1
Independent measurements behind it23
Cost per solved task$0.40$4.69
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-Flash better than Qwen3.7 Max for coding?

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash. Pick Qwen3.5-Flash for output tokens 17.0x cheaper ($0.26 vs $4.425 per million) and a lower cost per solved task ($0.40 against $4.69).

Which is cheaper, Qwen3.5-Flash or Qwen3.7 Max?

Qwen3.5-Flash costs $0.065 per million input tokens and $0.26 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Qwen3.5-Flash costs $0.40 and Qwen3.7 Max $4.69.

Which has the bigger context window, Qwen3.5-Flash or Qwen3.7 Max?

Neither: both take 1M tokens.

How many benchmarks is the Qwen3.5-Flash vs Qwen3.7 Max comparison based on?

22 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-Flash's coding index rests on 2 independent benchmarks and Qwen3.7 Max's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/qwen3-5-flash-02-23-vs-qwen3-7-max" title="Qwen3.5-Flash vs Qwen3.7 Max, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/qwen3-5-flash-02-23-vs-qwen3-7-max">LLMBenchmark.ai, Qwen3.5-Flash vs Qwen3.7 Max</a></p>