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GPT-5 Mini vs Qwen3.5-27B

Qwen3.5-27B leads GPT-5 Mini on the Artificial Analysis Intelligence Index, 22.9 to 20.6, and Qwen3.5-27B costs 1.3x less per output token ($1.56 vs $2.00 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace GPT-5 Mini Replace Qwen3.5-27B
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
6
Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
43
vs boards won of 49 shared

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

Only GPT-5 Mini has a coding score, 34.2 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 1.3x cheaper ($1.56 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved taskModel BQwen3.5-27BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
49
GPT-5 Mini only
52
Qwen3.5-27B only
4
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 Mini 34.2 from 2 benchmarks, Qwen3.5-27B not benchmarked.
Widest category
Agentic work, 12.0 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: GPT-5 Mini 71.1% against Qwen3.5-27B 93.9%, 22.8 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against Qwen3.5-27B $1.56 per million output tokens, 1.3x apart.
Context window
GPT-5 Mini 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-5 MiniBarsQwen3.5-27BTies
Coding22
Intelligence01
Agentic work02
Reasoning07
Math02
Knowledge04
General425
All shared boards643
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for GPT-5 Mini and Qwen3.5-27B
BenchmarkGPT-5 MiniQwen3.5-27BLeader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LMArena WebDevNot measured1358Only Qwen3.5-27B measured
LiveCodeBench (Vals AI)86.6%Not measuredOnly GPT-5 Mini measured
SWE-bench Verified (Vals AI)60.8%Not measuredOnly GPT-5 Mini measured
Vibe Code Bench (Vals AI)14.2%Not measuredOnly GPT-5 Mini measured
LiveCodeBench (Artificial Analysis run)83.8%Not measuredOnly GPT-5 Mini measured
SciCode39.0%Not measuredOnly GPT-5 Mini measured
Terminal-Bench Hard (Artificial Analysis run)33.3%32.6%GPT-5 Mini
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
WeirdML52.7%39.5%GPT-5 Mini
ALE-BenchNot measured349.4Only Qwen3.5-27B measured
LMArena Text: coding14061427Qwen3.5-27B
LMArena Text: software and IT13941431Qwen3.5-27B
LMArena WebDev: ReactNot measured1346Only Qwen3.5-27B measured
LMArena WebDev: HTMLNot measured1386Only Qwen3.5-27B measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-5 Mini and Qwen3.5-27B
BenchmarkGPT-5 MiniQwen3.5-27BLeader
AA Intelligence Index20.622.9Qwen3.5-27B
Epoch Capabilities Index145.3Not measuredOnly GPT-5 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for GPT-5 Mini and Qwen3.5-27B
BenchmarkGPT-5 MiniQwen3.5-27BLeader
τ²-Bench Telecom71.1%93.9%Qwen3.5-27B
Vending-Bench 2-$31$202Qwen3.5-27B
Berkeley Function Calling Leaderboard (BFCL)55.5%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for GPT-5 Mini and Qwen3.5-27B
BenchmarkGPT-5 MiniQwen3.5-27BLeader
GPQA Diamond80.3%Not measuredOnly GPT-5 Mini measured
MMMU Pro (Vals AI)78.9%Not measuredOnly GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)82.8%85.8%Qwen3.5-27B
Humanity's Last Exam (Artificial Analysis run)21.5%23.9%Qwen3.5-27B
GPQA Diamond (Epoch AI run)75.0%Not measuredOnly GPT-5 Mini measured
ARC-AGI54.3%Not measuredOnly GPT-5 Mini measured
ARC-AGI-24.4%Not measuredOnly GPT-5 Mini measured
Chess puzzles24.0%Not measuredOnly GPT-5 Mini measured
Mystery game puzzles10.0%Not measuredOnly GPT-5 Mini measured
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts13801415Qwen3.5-27B
LMArena Text: expert13791427Qwen3.5-27B
LMArena Text: hard prompts in English13831429Qwen3.5-27B
LMArena Vision: diagrams12021249Qwen3.5-27B
LMArena Vision: homework12101256Qwen3.5-27B
Kagi LLM Benchmark70.3%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5 Mini and Qwen3.5-27B
BenchmarkGPT-5 MiniQwen3.5-27BLeader
AIME91.5%Not measuredOnly GPT-5 Mini measured
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.7Not measuredOnly GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly GPT-5 Mini measured
OTIS Mock AIME86.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tiers 1 to 346.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5 Mini measured
ProofBench9.0%Not measuredOnly GPT-5 Mini measured
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781429Qwen3.5-27B
LMArena Text: mathematical work13801429Qwen3.5-27B
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5 Mini and Qwen3.5-27B
BenchmarkGPT-5 MiniQwen3.5-27BLeader
MMLU Pro82.2%Not measuredOnly GPT-5 Mini measured
LegalBench (Vals AI)81.8%Not measuredOnly GPT-5 Mini measured
CaseLaw (Vals AI)68.5%Not measuredOnly GPT-5 Mini measured
CorpFin (Vals AI)60.2%Not measuredOnly GPT-5 Mini measured
TaxEval (Vals AI)75.2%Not measuredOnly GPT-5 Mini measured
MortgageTax (Vals AI)66.9%Not measuredOnly GPT-5 Mini measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Mini measured
SimpleQA Verified21.6%Not measuredOnly GPT-5 Mini measured
LMArena Text: science13711437Qwen3.5-27B
LMArena Text: medicine and healthcare13801425Qwen3.5-27B
LMArena Text: legal and government13751405Qwen3.5-27B
LMArena Text: business and finance13581399Qwen3.5-27B
FACTS Benchmark Suite38.6%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5 Mini and Qwen3.5-27B
BenchmarkGPT-5 MiniQwen3.5-27BLeader
Design Arena: websites1125Not measuredOnly GPT-5 Mini measured
Design Arena: UI components1103Not measuredOnly GPT-5 Mini measured
Design Arena: game dev1129Not measuredOnly GPT-5 Mini measured
Design Arena: data viz1131Not measuredOnly GPT-5 Mini measured
Design Arena: 3D1036Not measuredOnly GPT-5 Mini measured
Design Arena: all code categories1114Not measuredOnly GPT-5 Mini measured
Design Arena: SVG1091Not measuredOnly GPT-5 Mini measured
Design Arena: ASCII art1125Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index425
General benchmarks for GPT-5 Mini and Qwen3.5-27B
BenchmarkGPT-5 MiniQwen3.5-27BLeader
SAGE (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MedScribe (Vals AI)80.6%Not measuredOnly GPT-5 Mini measured
IFBench75.4%75.6%Qwen3.5-27B
Long context reasoning (AA-LCR)72.3%77.7%Qwen3.5-27B
DTBench80.5%82.4%Qwen3.5-27B
LMCA34.2%34.0%GPT-5 Mini
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
LMArena Text13731409Qwen3.5-27B
LMArena Text: instruction following13571393Qwen3.5-27B
LMArena Text: creative writing13251362Qwen3.5-27B
LMArena Vision12021241Qwen3.5-27B
LMArena Text: English13791425Qwen3.5-27B
LMArena Text: non-English13631390Qwen3.5-27B
LMArena Text: Chinese13861478Qwen3.5-27B
LMArena Text: German13661392Qwen3.5-27B
LMArena Text: Japanese13411346Qwen3.5-27B
LMArena Text: Korean13081359Qwen3.5-27B
LMArena Text: French13861410Qwen3.5-27B
LMArena Text: Spanish13541407Qwen3.5-27B
LMArena Text: Russian13621390Qwen3.5-27B
LMArena Text: Polish13781375GPT-5 Mini
LMArena Text: multi-turn13631410Qwen3.5-27B
LMArena Text: longer queries13551413Qwen3.5-27B
LMArena Text: writing and language13441380Qwen3.5-27B
LMArena Text: entertainment and media13401363Qwen3.5-27B
LMArena Vision: English12161246Qwen3.5-27B
LMArena Vision: Chinese12141301Qwen3.5-27B
LMArena Vision: reading text11991246Qwen3.5-27B
LMArena Vision: humor12051227Qwen3.5-27B
LMArena Vision: captioning12171170GPT-5 Mini
LMArena Vision: recognizing things12261210GPT-5 Mini
LMArena Vision: creative writing11811224Qwen3.5-27B
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 Mini and Qwen3.5-27B
BenchmarkGPT-5 MiniQwen3.5-27BLeader
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 Mini$0.0013Fits 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 Mini$0.018Fits 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 Mini$0.070Fits 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 Mini and Qwen3.5-27B
SpecificationOpenAI GPT-5 MiniQwen3.5-27B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025February 25, 2026
Context window400K262K
Input $/Mtok$0.25$0.195
Output $/Mtok$2.00$1.56
Coding index34.2Not benchmarked
Independent measurements behind it21
Cost per solved task$0.08Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only GPT-5 Mini has a coding score, 34.2 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 1.3x cheaper ($1.56 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

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

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Qwen3.5-27B costs $0.195 and $1.56. Cost per solved task is known for GPT-5 Mini only.

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

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

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

49 benchmarks have a result for both models as of October 22, 2026. GPT-5 Mini's coding index rests on 2 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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