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GPT-5 vs Qwen3.5-27B

GPT-5 leads Qwen3.5-27B on the Artificial Analysis Intelligence Index, 23.0 to 22.9, and Qwen3.5-27B costs 6.4x less per output token ($1.56 vs $10.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace GPT-5 Replace Qwen3.5-27B
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
29
Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
22
vs boards won of 51 shared

GPT-5 or Qwen3.5-27B: which to pick

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Qwen3.5-27B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-27B for output tokens 6.4x cheaper ($1.56 vs $10.00 per million) and work measured by LMArena Text: software and IT or τ²-Bench Telecom, where it leads.

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BQwen3.5-27BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
51
GPT-5 only
62
Qwen3.5-27B only
2
Like-for-like categories
7 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
GPT-5 38.8 from 3 benchmarks, Qwen3.5-27B not benchmarked.
Widest category
Coding, 8.6 points apart on average over 7 shared benchmarks.
Widest single gap
WeirdML: GPT-5 60.7% against Qwen3.5-27B 39.5%, 21.2 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Qwen3.5-27B $1.56 per million output tokens, 6.4x apart.
Context window
GPT-5 takes 400K tokens, Qwen3.5-27B 262K.

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
CategoryGPT-5BarsQwen3.5-27BTies
Coding61
Intelligence10
Agentic work01
Reasoning43
Math02
Knowledge22
General1613
All shared boards2922
CodingLike-for-likeSix of these boards feed the Vibe Coding Index61
Coding benchmarks for GPT-5 and Qwen3.5-27B
BenchmarkGPT-5Qwen3.5-27BLeader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev14181358GPT-5
AA Coding Index37.8Not measuredOnly GPT-5 measured
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5 measured
SWE-bench Verified (Vals AI)69.0%Not measuredOnly GPT-5 measured
Vibe Code Bench (Vals AI)20.1%Not measuredOnly GPT-5 measured
LiveCodeBench (Artificial Analysis run)84.6%Not measuredOnly GPT-5 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%32.6%GPT-5
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%39.5%GPT-5
ALE-Bench807.6349.4GPT-5
LMArena Text: coding14361427GPT-5
LMArena Text: software and IT14201431Qwen3.5-27B
LMArena WebDev: ReactNot measured1346Only Qwen3.5-27B measured
LMArena WebDev: HTML14271386GPT-5
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5 and Qwen3.5-27B
BenchmarkGPT-5Qwen3.5-27BLeader
AA Intelligence Index23.022.9GPT-5
Epoch Capabilities Index150.0Not measuredOnly GPT-5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 and Qwen3.5-27B
BenchmarkGPT-5Qwen3.5-27BLeader
τ²-Bench Telecom86.5%93.9%Qwen3.5-27B
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
Vending-Bench 2Not measured$202Only Qwen3.5-27B measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index43
Reasoning benchmarks for GPT-5 and Qwen3.5-27B
BenchmarkGPT-5Qwen3.5-27BLeader
GPQA Diamond85.6%Not measuredOnly GPT-5 measured
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%85.8%Qwen3.5-27B
Humanity's Last Exam (Artificial Analysis run)28.5%23.9%GPT-5
GPQA Diamond (Epoch AI run)86.2%Not measuredOnly GPT-5 measured
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%Not measuredOnly GPT-5 measured
Chess puzzles36.0%Not measuredOnly GPT-5 measured
Mystery game puzzles23.0%Not measuredOnly GPT-5 measured
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151415GPT-5
LMArena Text: expert14191427Qwen3.5-27B
LMArena Text: hard prompts in English14191429Qwen3.5-27B
LMArena Vision: diagrams12521249GPT-5
LMArena Vision: homework12781256GPT-5
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5 and Qwen3.5-27B
BenchmarkGPT-5Qwen3.5-27BLeader
AIME93.4%Not measuredOnly GPT-5 measured
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%Not measuredOnly GPT-5 measured
FrontierMath, tiers 1 to 355.4%Not measuredOnly GPT-5 measured
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%Not measuredOnly GPT-5 measured
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071429Qwen3.5-27B
LMArena Text: mathematical work14051429Qwen3.5-27B
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for GPT-5 and Qwen3.5-27B
BenchmarkGPT-5Qwen3.5-27BLeader
MMLU Pro86.5%Not measuredOnly GPT-5 measured
LegalBench (Vals AI)86.0%Not measuredOnly GPT-5 measured
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%Not measuredOnly GPT-5 measured
TaxEval (Vals AI)73.4%Not measuredOnly GPT-5 measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-5 measured
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%Not measuredOnly GPT-5 measured
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%Not measuredOnly GPT-5 measured
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161437Qwen3.5-27B
LMArena Text: medicine and healthcare14131425Qwen3.5-27B
LMArena Text: legal and government14311405GPT-5
LMArena Text: business and finance14001399GPT-5
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5 and Qwen3.5-27B
BenchmarkGPT-5Qwen3.5-27BLeader
Design Arena: websites1184Not measuredOnly GPT-5 measured
Design Arena: UI components1177Not measuredOnly GPT-5 measured
Design Arena: game dev1185Not measuredOnly GPT-5 measured
Design Arena: data viz1221Not measuredOnly GPT-5 measured
Design Arena: 3D1055Not measuredOnly GPT-5 measured
Design Arena: all code categories1167Not measuredOnly GPT-5 measured
Design Arena: SVG1188Not measuredOnly GPT-5 measured
Design Arena: ASCII art1141Not measuredOnly GPT-5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1613
General benchmarks for GPT-5 and Qwen3.5-27B
BenchmarkGPT-5Qwen3.5-27BLeader
SAGE (Vals AI)43.7%Not measuredOnly GPT-5 measured
MedScribe (Vals AI)83.7%Not measuredOnly GPT-5 measured
IFBench73.1%75.6%Qwen3.5-27B
Long context reasoning (AA-LCR)78.2%77.7%GPT-5
DTBench90.7%82.4%GPT-5
LMCA40.0%34.0%GPT-5
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
LMArena Text14061409Qwen3.5-27B
LMArena Text: instruction following13881393Qwen3.5-27B
LMArena Text: creative writing13651362GPT-5
LMArena Vision12321241Qwen3.5-27B
LMArena Text: English14091425Qwen3.5-27B
LMArena Text: non-English13971390GPT-5
LMArena Text: Chinese14221478Qwen3.5-27B
LMArena Text: German14161392GPT-5
LMArena Text: Japanese14091346GPT-5
LMArena Text: Korean13601359GPT-5
LMArena Text: French14091410Qwen3.5-27B
LMArena Text: Spanish13991407Qwen3.5-27B
LMArena Text: Russian14071390GPT-5
LMArena Text: Polish14311375GPT-5
LMArena Text: multi-turn14261410GPT-5
LMArena Text: longer queries13991413Qwen3.5-27B
LMArena Text: writing and language13841380GPT-5
LMArena Text: entertainment and media13791363GPT-5
LMArena Vision: English12311246Qwen3.5-27B
LMArena Vision: Chinese12671301Qwen3.5-27B
LMArena Vision: reading text12461246GPT-5
LMArena Vision: humor12191227Qwen3.5-27B
LMArena Vision: captioning12121170GPT-5
LMArena Vision: recognizing things12631210GPT-5
LMArena Vision: creative writing12101224Qwen3.5-27B
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 and Qwen3.5-27B
BenchmarkGPT-5Qwen3.5-27BLeader
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

GPT-5$0.0063Fits in one request
Qwen3.5-27B$0.0010Fits in one request

Qwen3.5-27B costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
Qwen3.5-27B$0.014Fits in one request

Qwen3.5-27B costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
Qwen3.5-27B$0.055Fits in one request

Qwen3.5-27B 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 GPT-5 and Qwen3.5-27B
SpecificationOpenAI GPT-5Qwen3.5-27B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025February 25, 2026
Context window400K262K
Input $/Mtok$1.25$0.195
Output $/Mtok$10.00$1.56
Coding index38.8Not benchmarked
Independent measurements behind it31
Cost per solved task$0.39Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than Qwen3.5-27B for coding?

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Qwen3.5-27B has none, so the two cannot be ranked on coding. Pick Qwen3.5-27B for output tokens 6.4x cheaper ($1.56 vs $10.00 per million) and work measured by LMArena Text: software and IT or τ²-Bench Telecom, where it leads.

Which is cheaper, GPT-5 or Qwen3.5-27B?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3.5-27B costs $0.195 and $1.56. Cost per solved task is known for GPT-5 only.

Which has the bigger context window, GPT-5 or Qwen3.5-27B?

GPT-5, with 400K tokens against 262K.

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

51 benchmarks have a result for both models as of October 22, 2026. GPT-5's coding index rests on 3 independent benchmarks and Qwen3.5-27B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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