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GPT-5 Nano vs Qwen3.5-27B

Updated October 21, 2026. 44 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5 Nano Replace Qwen3.5-27B
GPT-5 NanoOpenAI
Coding
34.8
Overall
13.0
Output $/M
$0.40
0
Qwen3.5-27BQwen
Coding
22.6
Overall
22.9
Output $/M
$2.16
44
vs boards won of 44 shared

Decision reading

Pick GPT-5 Nano for coding: it scores 34.8 on the Vibe Coding Index against 22.6 for Qwen3.5-27B.

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

Model AGPT-5 NanoOpenAI34.8/1001 independent benchmark$0.109 per solved taskModel BQwen3.5-27BQwen22.6/1001 independent benchmarkNo cost per solved task
Shared results
44
GPT-5 Nano only
41
Qwen3.5-27B only
9
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
GPT-5 Nano 34.8 from 1 benchmark, Qwen3.5-27B 22.6 from 1 benchmark.
Widest category
Agentic work, 57.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-5 Nano 36.5% against Qwen3.5-27B 93.9%, 57.3 points apart on a 0 to 100 scale.
Output price
GPT-5 Nano $0.40 against Qwen3.5-27B $2.16 per million output tokens, 5.4x apart.
Context window
GPT-5 Nano 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 NanoBarsQwen3.5-27BTies
Coding04
Intelligence01
Agentic work01
Reasoning07
Math02
Knowledge04
General025
All shared boards044
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-5 Nano and Qwen3.5-27B
BenchmarkGPT-5 NanoQwen3.5-27BLeader
SWE-bench Verified34.8%Not measuredOnly GPT-5 Nano measured
LMArena WebDevNot measured1358Only Qwen3.5-27B measured
LiveCodeBench (Vals AI)70.2%Not measuredOnly GPT-5 Nano measured
LiveCodeBench (Artificial Analysis run)78.9%Not measuredOnly GPT-5 Nano measured
Terminal-Bench Hard (Artificial Analysis run)17.4%32.6%Qwen3.5-27B
Terminal-Bench21.8%Not measuredOnly GPT-5 Nano measured
WeirdML38.1%39.5%Qwen3.5-27B
ALE-BenchNot measured349.4Only Qwen3.5-27B measured
LMArena Text: coding13511427Qwen3.5-27B
LMArena Text: software and IT13451431Qwen3.5-27B
LMArena WebDev: ReactNot measured1346Only Qwen3.5-27B measured
LMArena WebDev: HTMLNot measured1386Only Qwen3.5-27B measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-5 Nano and Qwen3.5-27B
BenchmarkGPT-5 NanoQwen3.5-27BLeader
AA Intelligence Index13.022.9Qwen3.5-27B
Epoch Capabilities Index139.2Not measuredOnly GPT-5 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 Nano and Qwen3.5-27B
BenchmarkGPT-5 NanoQwen3.5-27BLeader
τ²-Bench Telecom36.5%93.9%Qwen3.5-27B
Vending-Bench 2Not measured$202Only 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 index07
Reasoning benchmarks for GPT-5 Nano and Qwen3.5-27B
BenchmarkGPT-5 NanoQwen3.5-27BLeader
GPQA Diamond63.4%Not measuredOnly GPT-5 Nano measured
MMMU Pro (Vals AI)70.9%Not measuredOnly GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)67.6%85.8%Qwen3.5-27B
Humanity's Last Exam (Artificial Analysis run)9.5%23.9%Qwen3.5-27B
GPQA Diamond (Epoch AI run)69.4%Not measuredOnly GPT-5 Nano measured
ARC-AGI20.7%Not measuredOnly GPT-5 Nano measured
ARC-AGI-22.6%Not measuredOnly GPT-5 Nano measured
Chess puzzles22.0%Not measuredOnly GPT-5 Nano measured
Mystery game puzzles9.0%Not measuredOnly GPT-5 Nano measured
VPCT37.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: hard prompts13281415Qwen3.5-27B
LMArena Text: expert13211427Qwen3.5-27B
LMArena Text: hard prompts in English13381429Qwen3.5-27B
LMArena Vision: diagrams11411249Qwen3.5-27B
LMArena Vision: homework11571256Qwen3.5-27B
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 Nano and Qwen3.5-27B
BenchmarkGPT-5 NanoQwen3.5-27BLeader
AIME81.2%Not measuredOnly GPT-5 Nano measured
MATH 500 (Vals AI)93.8%Not measuredOnly GPT-5 Nano measured
MGSM (Vals AI)89.3%Not measuredOnly GPT-5 Nano measured
AA Math Index83.7Not measuredOnly GPT-5 Nano measured
AIME 2025 (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Nano measured
OTIS Mock AIME81.1%Not measuredOnly GPT-5 Nano measured
FrontierMath, tiers 1 to 320.0%Not measuredOnly GPT-5 Nano measured
FrontierMath, tier 42.4%Not measuredOnly GPT-5 Nano measured
ProofBench12.0%Not measuredOnly GPT-5 Nano measured
MATH level 595.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: math13171429Qwen3.5-27B
LMArena Text: mathematical work13261429Qwen3.5-27B
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 Nano and Qwen3.5-27B
BenchmarkGPT-5 NanoQwen3.5-27BLeader
MMLU Pro76.1%Not measuredOnly GPT-5 Nano measured
LegalBench (Vals AI)50.1%Not measuredOnly GPT-5 Nano measured
CaseLaw (Vals AI)52.6%Not measuredOnly GPT-5 Nano measured
TaxEval (Vals AI)67.4%Not measuredOnly GPT-5 Nano measured
MortgageTax (Vals AI)53.6%Not measuredOnly GPT-5 Nano measured
MedQA (Vals AI)93.3%Not measuredOnly GPT-5 Nano measured
MedCode (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)78.0%Not measuredOnly GPT-5 Nano measured
SimpleQA Verified11.7%Not measuredOnly GPT-5 Nano measured
LMArena Text: science13181437Qwen3.5-27B
LMArena Text: medicine and healthcare13351425Qwen3.5-27B
LMArena Text: legal and government12981405Qwen3.5-27B
LMArena Text: business and finance13111399Qwen3.5-27B
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-5 Nano and Qwen3.5-27B
BenchmarkGPT-5 NanoQwen3.5-27BLeader
Design Arena: websites1101Not measuredOnly GPT-5 Nano measured
Design Arena: UI components1066Not measuredOnly GPT-5 Nano measured
Design Arena: game dev1045Not measuredOnly GPT-5 Nano measured
Design Arena: data viz1056Not measuredOnly GPT-5 Nano measured
Design Arena: 3D966Not measuredOnly GPT-5 Nano measured
Design Arena: all code categories1084Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index025
General benchmarks for GPT-5 Nano and Qwen3.5-27B
BenchmarkGPT-5 NanoQwen3.5-27BLeader
SAGE (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MedScribe (Vals AI)72.9%Not measuredOnly GPT-5 Nano measured
IFBench67.6%75.6%Qwen3.5-27B
Long context reasoning (AA-LCR)45.0%77.7%Qwen3.5-27B
DTBench62.7%82.4%Qwen3.5-27B
LMCA7.9%34.0%Qwen3.5-27B
Fiction.LiveBench44.4%Not measuredOnly GPT-5 Nano measured
LMArena Text13201409Qwen3.5-27B
LMArena Text: instruction following13061393Qwen3.5-27B
LMArena Text: creative writing12491362Qwen3.5-27B
LMArena Vision11591241Qwen3.5-27B
LMArena Text: English13211425Qwen3.5-27B
LMArena Text: non-English13131390Qwen3.5-27B
LMArena Text: Chinese13561478Qwen3.5-27B
LMArena Text: German13271392Qwen3.5-27B
LMArena Text: Japanese12271346Qwen3.5-27B
LMArena Text: Korean12691359Qwen3.5-27B
LMArena Text: FrenchNot measured1410Only Qwen3.5-27B measured
LMArena Text: Spanish13601407Qwen3.5-27B
LMArena Text: Russian12961390Qwen3.5-27B
LMArena Text: Polish13141375Qwen3.5-27B
LMArena Text: multi-turn13111410Qwen3.5-27B
LMArena Text: longer queries13121413Qwen3.5-27B
LMArena Text: writing and language12831380Qwen3.5-27B
LMArena Text: entertainment and media12681363Qwen3.5-27B
LMArena Vision: English11701246Qwen3.5-27B
LMArena Vision: Chinese11761301Qwen3.5-27B
LMArena Vision: reading text11521246Qwen3.5-27B
LMArena Vision: humor11101227Qwen3.5-27B
LMArena Vision: captioningNot measured1170Only Qwen3.5-27B measured
LMArena Vision: recognizing thingsNot measured1210Only Qwen3.5-27B measured
LMArena Vision: creative writingNot measured1224Only Qwen3.5-27B measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 Nano and Qwen3.5-27B
BenchmarkGPT-5 NanoQwen3.5-27BLeader
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 Nano$0.0003Fits in one request
Qwen3.5-27B$0.0014Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5 Nano$0.0037Fits in one request
Qwen3.5-27B$0.020Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5 Nano$0.014Fits in one request
Qwen3.5-27B$0.076Fits in one request

GPT-5 Nano 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 Nano and Qwen3.5-27B
SpecificationOpenAI GPT-5 NanoQwen3.5-27B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025February 25, 2026
Context window400K262K
Input $/Mtok$0.05$0.27
Output $/Mtok$0.40$2.16
Coding index34.822.6
Independent measurements behind it11
Cost per solved task$0.109Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5 Nano for coding: it scores 34.8 on the Vibe Coding Index against 22.6 for Qwen3.5-27B. Pick Qwen3.5-27B when what matters is Terminal-Bench Hard (Artificial Analysis run) or WeirdML, where it leads.

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

GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens; Qwen3.5-27B costs $0.27 and $2.16. Cost per solved task is known for GPT-5 Nano only.

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

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

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

44 benchmarks have a result for both models as of October 21, 2026. GPT-5 Nano's coding index rests on 1 independent benchmark 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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