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Qwen3.5-27B vs Qwen3 Coder 480B A35B

Updated October 21, 2026. 40 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Qwen3.5-27BQwen
Coding
22.6
Overall
22.9
Output $/M
$2.16
38
Qwen3 Coder 480B A35BQwen
Coding
50.0
Overall
11.9
Output $/M
$1.00
2
vs boards won of 40 shared

Decision reading

Pick Qwen3 Coder 480B A35B for coding: it scores 50.0 on the Vibe Coding Index against 22.6 for Qwen3.5-27B.

Pick Qwen3.5-27B when what matters is LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Shared results
40
Qwen3.5-27B only
13
Qwen3 Coder 480B A35B only
12
Like-for-like categories
7 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
Qwen3.5-27B 22.6 from 1 benchmark, Qwen3 Coder 480B A35B 50.0 from 2 benchmarks.
Widest category
Agentic work, 50.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Qwen3.5-27B 93.9% against Qwen3 Coder 480B A35B 43.6%, 50.3 points apart on a 0 to 100 scale.
Output price
Qwen3.5-27B $2.16 against Qwen3 Coder 480B A35B $1.00 per million output tokens, 2.2x apart.
Context window
Both take 262K 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
CategoryQwen3.5-27BBarsQwen3 Coder 480B A35BTies
Coding62
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge40
General190
All shared boards382
CodingLike-for-likeFour of these boards feed the Vibe Coding Index62
Coding benchmarks for Qwen3.5-27B and Qwen3 Coder 480B A35B
BenchmarkQwen3.5-27BQwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDev13581275Qwen3.5-27B
LiveCodeBench (Artificial Analysis run)Not measured58.5%Only Qwen3 Coder 480B A35B measured
Terminal-Bench Hard (Artificial Analysis run)32.6%18.9%Qwen3.5-27B
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdML39.5%41.2%Qwen3 Coder 480B A35B
ALE-Bench349.4461.4Qwen3 Coder 480B A35B
LMArena Text: coding14271412Qwen3.5-27B
LMArena Text: software and IT14311393Qwen3.5-27B
LMArena WebDev: React13461257Qwen3.5-27B
LMArena WebDev: HTML13861287Qwen3.5-27B
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Qwen3.5-27B and Qwen3 Coder 480B A35B
BenchmarkQwen3.5-27BQwen3 Coder 480B A35BLeader
AA Intelligence Index22.911.9Qwen3.5-27B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Qwen3.5-27B and Qwen3 Coder 480B A35B
BenchmarkQwen3.5-27BQwen3 Coder 480B A35BLeader
τ²-Bench Telecom93.9%43.6%Qwen3.5-27B
Vending-Bench 2$202Not measuredOnly Qwen3.5-27B measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Qwen3.5-27B and Qwen3 Coder 480B A35B
BenchmarkQwen3.5-27BQwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)85.8%61.8%Qwen3.5-27B
Humanity's Last Exam (Artificial Analysis run)23.9%4.5%Qwen3.5-27B
LMArena Text: hard prompts14151372Qwen3.5-27B
LMArena Text: expert14271338Qwen3.5-27B
LMArena Text: hard prompts in English14291380Qwen3.5-27B
LMArena Vision: diagrams1249Not measuredOnly Qwen3.5-27B measured
LMArena Vision: homework1256Not measuredOnly Qwen3.5-27B measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Qwen3.5-27B and Qwen3 Coder 480B A35B
BenchmarkQwen3.5-27BQwen3 Coder 480B A35BLeader
AA Math IndexNot measured39.3Only Qwen3 Coder 480B A35B measured
AIME 2025 (Artificial Analysis run)Not measured39.3%Only Qwen3 Coder 480B A35B measured
LMArena Text: math14291365Qwen3.5-27B
LMArena Text: mathematical work14291367Qwen3.5-27B
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Qwen3.5-27B and Qwen3 Coder 480B A35B
BenchmarkQwen3.5-27BQwen3 Coder 480B A35BLeader
MMLU Pro (Artificial Analysis run)Not measured78.8%Only Qwen3 Coder 480B A35B measured
LMArena Text: science14371347Qwen3.5-27B
LMArena Text: medicine and healthcare14251347Qwen3.5-27B
LMArena Text: legal and government14051358Qwen3.5-27B
LMArena Text: business and finance13991343Qwen3.5-27B
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Qwen3.5-27B and Qwen3 Coder 480B A35B
BenchmarkQwen3.5-27BQwen3 Coder 480B A35BLeader
Design Arena: websitesNot measured1159Only Qwen3 Coder 480B A35B measured
Design Arena: UI componentsNot measured1112Only Qwen3 Coder 480B A35B measured
Design Arena: game devNot measured1099Only Qwen3 Coder 480B A35B measured
Design Arena: data vizNot measured1084Only Qwen3 Coder 480B A35B measured
Design Arena: all code categoriesNot measured1143Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Qwen3.5-27B and Qwen3 Coder 480B A35B
BenchmarkQwen3.5-27BQwen3 Coder 480B A35BLeader
IFBench75.6%40.5%Qwen3.5-27B
Long context reasoning (AA-LCR)77.7%45.7%Qwen3.5-27B
DTBench82.4%Not measuredOnly Qwen3.5-27B measured
LMCA34.0%Not measuredOnly Qwen3.5-27B measured
LMArena Text14091357Qwen3.5-27B
LMArena Text: instruction following13931355Qwen3.5-27B
LMArena Text: creative writing13621333Qwen3.5-27B
LMArena Vision1241Not measuredOnly Qwen3.5-27B measured
LMArena Text: English14251359Qwen3.5-27B
LMArena Text: non-English13901346Qwen3.5-27B
LMArena Text: Chinese14781357Qwen3.5-27B
LMArena Text: German13921325Qwen3.5-27B
LMArena Text: Japanese13461311Qwen3.5-27B
LMArena Text: Korean13591305Qwen3.5-27B
LMArena Text: French14101398Qwen3.5-27B
LMArena Text: Spanish14071360Qwen3.5-27B
LMArena Text: Russian13901366Qwen3.5-27B
LMArena Text: Polish13751344Qwen3.5-27B
LMArena Text: multi-turn14101366Qwen3.5-27B
LMArena Text: longer queries14131378Qwen3.5-27B
LMArena Text: writing and language13801340Qwen3.5-27B
LMArena Text: entertainment and media13631317Qwen3.5-27B
LMArena Vision: English1246Not measuredOnly Qwen3.5-27B measured
LMArena Vision: Chinese1301Not measuredOnly Qwen3.5-27B measured
LMArena Vision: reading text1246Not measuredOnly Qwen3.5-27B measured
LMArena Vision: humor1227Not measuredOnly Qwen3.5-27B measured
LMArena Vision: captioning1170Not measuredOnly Qwen3.5-27B measured
LMArena Vision: recognizing things1210Not measuredOnly Qwen3.5-27B measured
LMArena Vision: creative writing1224Not measuredOnly 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 Qwen3.5-27B and Qwen3 Coder 480B A35B
BenchmarkQwen3.5-27BQwen3 Coder 480B A35BLeader
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

Qwen3.5-27B$0.0014Fits in one request
Qwen3 Coder 480B A35B$0.0008Fits in one request

Qwen3 Coder 480B A35B costs less

Repository review

50K input + 3K output tokens

Qwen3.5-27B$0.020Fits in one request
Qwen3 Coder 480B A35B$0.018Fits in one request

Qwen3 Coder 480B A35B costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-27B$0.076Fits in one request
Qwen3 Coder 480B A35B$0.070Fits in one request

Qwen3 Coder 480B A35B 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 Qwen3.5-27B and Qwen3 Coder 480B A35B
SpecificationQwen3.5-27BQwen3 Coder 480B A35B
MakerQwenQwen
WeightsOpen weightsOpen weights
ReleasedFebruary 25, 2026July 23, 2025
Context window262K262K
Input $/Mtok$0.27$0.30
Output $/Mtok$2.16$1.00
Coding index22.650.0
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-27B better than Qwen3 Coder 480B A35B for coding?

Pick Qwen3 Coder 480B A35B for coding: it scores 50.0 on the Vibe Coding Index against 22.6 for Qwen3.5-27B. Pick Qwen3.5-27B when what matters is LMArena WebDev or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Qwen3.5-27B or Qwen3 Coder 480B A35B?

Qwen3.5-27B costs $0.27 per million input tokens and $2.16 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.5-27B or Qwen3 Coder 480B A35B?

Neither: both take 262K tokens.

How many benchmarks is the Qwen3.5-27B vs Qwen3 Coder 480B A35B comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. Qwen3.5-27B's coding index rests on 1 independent benchmark and Qwen3 Coder 480B A35B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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