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Qwen3.5-27B vs Solar Pro 4

Solar Pro 4 leads Qwen3.5-27B on the Artificial Analysis Intelligence Index, 28.2 to 22.9, and Solar Pro 4 costs 2.6x less per output token ($0.60 vs $1.56 per million). Updated October 23, 2026; 36 benchmarks have a result for both.

Replace Qwen3.5-27B Replace Solar Pro 4
Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
27
Solar Pro 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
9
vs boards won of 36 shared

Qwen3.5-27B or Solar Pro 4: which to pick

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

Pick Qwen3.5-27B for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Model AQwen3.5-27BQwenNot benchmarked1 independent benchmarkNo cost per solved taskModel BSolar Pro 4UpstageNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
36
Qwen3.5-27B only
18
Solar Pro 4 only
9
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
Qwen3.5-27B not benchmarked, Solar Pro 4 not benchmarked.
Widest category
Intelligence, 5.3 points apart on average over 1 shared benchmark.
Widest single gap
LMArena Text: Polish: Qwen3.5-27B 1375 against Solar Pro 4 1307, 11.4 points apart on a 0 to 100 scale.
Output price
Qwen3.5-27B $1.56 against Solar Pro 4 $0.60 per million output tokens, 2.6x apart.
Context window
Qwen3.5-27B takes 262K tokens, Solar Pro 4 524K.

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
CategoryQwen3.5-27BBarsSolar Pro 4Ties
Coding33
Intelligence01
Reasoning23
Math20
Knowledge40
General162
All shared boards279
CodingLike-for-likeSix of these boards feed the Vibe Coding Index33
Coding benchmarks for Qwen3.5-27B and Solar Pro 4
BenchmarkQwen3.5-27BSolar Pro 4Leader
LMArena WebDev13591370Solar Pro 4
AA Coding IndexNot measured52.7Only Solar Pro 4 measured
SciCodeNot measured48.0%Only Solar Pro 4 measured
Terminal-Bench Hard (Artificial Analysis run)32.6%Not measuredOnly Qwen3.5-27B measured
WeirdML39.5%Not measuredOnly Qwen3.5-27B measured
ALE-Bench349.4179.3Qwen3.5-27B
LMArena Text: coding14271437Solar Pro 4
LMArena Text: software and IT14311431Qwen3.5-27B
LMArena WebDev: React13461363Solar Pro 4
LMArena WebDev: HTML13871371Qwen3.5-27B
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.5-27B and Solar Pro 4
BenchmarkQwen3.5-27BSolar Pro 4Leader
AA Intelligence Index22.928.2Solar Pro 4
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Qwen3.5-27B and Solar Pro 4
BenchmarkQwen3.5-27BSolar Pro 4Leader
Design Arena: agents building web appsNot measured1105Only Solar Pro 4 measured
τ²-Bench Telecom93.9%Not measuredOnly Qwen3.5-27B measured
Vending-Bench 2$202Not measuredOnly 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 index23
Reasoning benchmarks for Qwen3.5-27B and Solar Pro 4
BenchmarkQwen3.5-27BSolar Pro 4Leader
GPQA Diamond (Artificial Analysis run)85.8%89.1%Solar Pro 4
Humanity's Last Exam (Artificial Analysis run)23.9%29.8%Solar Pro 4
LMArena Text: hard prompts14141400Qwen3.5-27B
LMArena Text: expert14281428Solar Pro 4
LMArena Text: hard prompts in English14281428Qwen3.5-27B
LMArena Vision: diagrams1249Not measuredOnly Qwen3.5-27B measured
LMArena Vision: homework1256Not measuredOnly Qwen3.5-27B measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Qwen3.5-27B and Solar Pro 4
BenchmarkQwen3.5-27BSolar Pro 4Leader
LMArena Text: math14291417Qwen3.5-27B
LMArena Text: mathematical work14291423Qwen3.5-27B
MathArena15.8%Not measuredOnly Qwen3.5-27B measured
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Qwen3.5-27B and Solar Pro 4
BenchmarkQwen3.5-27BSolar Pro 4Leader
LMArena Text: science14371403Qwen3.5-27B
LMArena Text: medicine and healthcare14251374Qwen3.5-27B
LMArena Text: legal and government14051384Qwen3.5-27B
LMArena Text: business and finance13991381Qwen3.5-27B
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Qwen3.5-27B and Solar Pro 4
BenchmarkQwen3.5-27BSolar Pro 4Leader
Design Arena: websitesNot measured1176Only Solar Pro 4 measured
Design Arena: UI componentsNot measured1147Only Solar Pro 4 measured
Design Arena: game devNot measured1169Only Solar Pro 4 measured
Design Arena: data vizNot measured1178Only Solar Pro 4 measured
Design Arena: 3DNot measured1179Only Solar Pro 4 measured
Design Arena: all code categoriesNot measured1182Only Solar Pro 4 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index162
General benchmarks for Qwen3.5-27B and Solar Pro 4
BenchmarkQwen3.5-27BSolar Pro 4Leader
IFBench75.6%Not measuredOnly Qwen3.5-27B measured
Long context reasoning (AA-LCR)77.7%70.7%Qwen3.5-27B
DTBench82.4%Not measuredOnly Qwen3.5-27B measured
LMCA34.0%Not measuredOnly Qwen3.5-27B measured
LMArena Text14091388Qwen3.5-27B
LMArena Text: instruction following13931374Qwen3.5-27B
LMArena Text: creative writing13631318Qwen3.5-27B
LMArena Vision1241Not measuredOnly Qwen3.5-27B measured
LMArena Text: English14251415Qwen3.5-27B
LMArena Text: non-English13901363Qwen3.5-27B
LMArena Text: Chinese14781423Qwen3.5-27B
LMArena Text: German13931357Qwen3.5-27B
LMArena Text: Japanese13461320Qwen3.5-27B
LMArena Text: Korean13591391Solar Pro 4
LMArena Text: French14101403Qwen3.5-27B
LMArena Text: Spanish14071413Solar Pro 4
LMArena Text: Russian13901354Qwen3.5-27B
LMArena Text: Polish13751307Qwen3.5-27B
LMArena Text: multi-turn14101387Qwen3.5-27B
LMArena Text: longer queries14131382Qwen3.5-27B
LMArena Text: writing and language13811344Qwen3.5-27B
LMArena Text: entertainment and media13631333Qwen3.5-27B
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 19 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 Solar Pro 4
BenchmarkQwen3.5-27BSolar Pro 4Leader
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$0.0010Fits in one request
Solar Pro 4$0.0004Fits in one request

Solar Pro 4 costs less

Repository review

50K input + 3K output tokens

Qwen3.5-27B$0.014Fits in one request
Solar Pro 4$0.0093Fits in one request

Solar Pro 4 costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-27B$0.055Fits in one request
Solar Pro 4$0.036Fits in one request

Solar Pro 4 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 Solar Pro 4
SpecificationQwen3.5-27BUpstage Solar Pro 4
MakerQwenUpstage
WeightsOpen weightsNo public weights listed
ReleasedFebruary 25, 2026August 10, 2026
Context window262K524K
Input $/Mtok$0.195$0.15
Output $/Mtok$1.56$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-27B better than Solar Pro 4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.5-27B for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Which is cheaper, Qwen3.5-27B or Solar Pro 4?

Qwen3.5-27B costs $0.195 per million input tokens and $1.56 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.5-27B or Solar Pro 4?

Solar Pro 4, with 524K tokens against 262K.

How many benchmarks is the Qwen3.5-27B vs Solar Pro 4 comparison based on?

36 benchmarks have a result for both models as of October 23, 2026. Qwen3.5-27B's coding index rests on 1 independent benchmark and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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