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GPT-5 Nano vs Qwen3.6 35B A3B

Qwen3.6 35B A3B leads GPT-5 Nano on the Artificial Analysis Intelligence Index, 18.2 to 13.0, and GPT-5 Nano costs 2.5x less per output token ($0.40 vs $1.00 per million). Updated October 22, 2026; 16 benchmarks have a result for both.

Replace GPT-5 Nano Replace Qwen3.6 35B A3B
GPT-5 NanoOpenAI
Coding
No data
Overall
35.6
Output $/M
$0.40
2
Qwen3.6 35B A3BQwen
Coding
No data
Overall
45.0
Output $/M
$1.00
14
vs boards won of 16 shared

GPT-5 Nano or Qwen3.6 35B A3B: which to pick

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

Pick GPT-5 Nano for output tokens 2.5x cheaper ($0.40 vs $1.00 per million) and a larger context window (400K against 262K tokens).

Model AGPT-5 NanoOpenAINot benchmarkedNo coding benchmark$0.109 per solved taskModel BQwen3.6 35B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
16
GPT-5 Nano only
72
Qwen3.6 35B A3B only
4
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
GPT-5 Nano not benchmarked, Qwen3.6 35B A3B not benchmarked.
Widest category
Agentic work, 58.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-5 Nano 36.5% against Qwen3.6 35B A3B 95.3%, 58.8 points apart on a 0 to 100 scale.
Output price
GPT-5 Nano $0.40 against Qwen3.6 35B A3B $1.00 per million output tokens, 2.5x apart.
Context window
GPT-5 Nano takes 400K tokens, Qwen3.6 35B A3B 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 NanoBarsQwen3.6 35B A3BTies
Coding12
Intelligence02
Agentic work01
Reasoning04
Math02
General13
All shared boards214
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
Coding benchmarks for GPT-5 Nano and Qwen3.6 35B A3B
BenchmarkGPT-5 NanoQwen3.6 35B A3BLeader
SWE-bench Verified34.8%Not measuredOnly GPT-5 Nano measured
AA Coding IndexNot measured41.9Only Qwen3.6 35B A3B measured
LiveCodeBench (Vals AI)70.2%Not measuredOnly GPT-5 Nano measured
LiveCodeBench (Artificial Analysis run)78.9%Not measuredOnly GPT-5 Nano measured
SciCodeNot measured36.6%Only Qwen3.6 35B A3B measured
Terminal-Bench Hard (Artificial Analysis run)17.4%34.8%Qwen3.6 35B A3B
Terminal-Bench21.8%24.6%Qwen3.6 35B A3B
WeirdML38.1%34.5%GPT-5 Nano
LMArena Text: coding1351Not measuredOnly GPT-5 Nano measured
LMArena Text: software and IT1345Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5 Nano and Qwen3.6 35B A3B
BenchmarkGPT-5 NanoQwen3.6 35B A3BLeader
AA Intelligence Index13.018.2Qwen3.6 35B A3B
Epoch Capabilities Index139.2143.7Qwen3.6 35B A3B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 Nano and Qwen3.6 35B A3B
BenchmarkGPT-5 NanoQwen3.6 35B A3BLeader
AA Agentic IndexNot measured13.1Only Qwen3.6 35B A3B measured
τ²-Bench Telecom36.5%95.3%Qwen3.6 35B A3B
Berkeley Function Calling Leaderboard (BFCL)51.4%Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-5 Nano and Qwen3.6 35B A3B
BenchmarkGPT-5 NanoQwen3.6 35B A3BLeader
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%84.1%Qwen3.6 35B A3B
Humanity's Last Exam (Artificial Analysis run)9.5%22.2%Qwen3.6 35B A3B
GPQA Diamond (Epoch AI run)69.4%84.8%Qwen3.6 35B A3B
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%22.0%Qwen3.6 35B A3B
VPCT37.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: hard prompts1328Not measuredOnly GPT-5 Nano measured
LMArena Text: expert1321Not measuredOnly GPT-5 Nano measured
LMArena Text: hard prompts in English1338Not measuredOnly GPT-5 Nano measured
LMArena Vision: diagrams1141Not measuredOnly GPT-5 Nano measured
LMArena Vision: homework1157Not measuredOnly GPT-5 Nano measured
Kagi LLM Benchmark62.2%Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5 Nano and Qwen3.6 35B A3B
BenchmarkGPT-5 NanoQwen3.6 35B A3BLeader
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%86.7%Qwen3.6 35B A3B
FrontierMath, tiers 1 to 320.0%20.4%Qwen3.6 35B A3B
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: math1317Not measuredOnly GPT-5 Nano measured
LMArena Text: mathematical work1326Not measuredOnly GPT-5 Nano measured
MathArena12.8%Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 1 board here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for GPT-5 Nano and Qwen3.6 35B A3B
BenchmarkGPT-5 NanoQwen3.6 35B A3BLeader
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: science1318Not measuredOnly GPT-5 Nano measured
LMArena Text: medicine and healthcare1335Not measuredOnly GPT-5 Nano measured
LMArena Text: legal and government1298Not measuredOnly GPT-5 Nano measured
LMArena Text: business and finance1311Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 7 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 Qwen3.6 35B A3B
BenchmarkGPT-5 NanoQwen3.6 35B A3BLeader
Design Arena: websites1101Not measuredOnly GPT-5 Nano measured
Design Arena: UI components1064Not measuredOnly GPT-5 Nano measured
Design Arena: game dev1044Not measuredOnly GPT-5 Nano measured
Design Arena: data viz1056Not measuredOnly GPT-5 Nano measured
Design Arena: 3D965Not 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 index13
General benchmarks for GPT-5 Nano and Qwen3.6 35B A3B
BenchmarkGPT-5 NanoQwen3.6 35B A3BLeader
SAGE (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MedScribe (Vals AI)72.9%Not measuredOnly GPT-5 Nano measured
IFBench67.6%64.4%GPT-5 Nano
Long context reasoning (AA-LCR)45.0%71.7%Qwen3.6 35B A3B
DTBench62.7%73.9%Qwen3.6 35B A3B
LMCA7.9%29.7%Qwen3.6 35B A3B
Fiction.LiveBench44.4%Not measuredOnly GPT-5 Nano measured
Surface Evolver BenchNot measured44.4%Only Qwen3.6 35B A3B measured
LMArena Text1320Not measuredOnly GPT-5 Nano measured
LMArena Text: instruction following1306Not measuredOnly GPT-5 Nano measured
LMArena Text: creative writing1249Not measuredOnly GPT-5 Nano measured
LMArena Vision1159Not measuredOnly GPT-5 Nano measured
LMArena Text: English1321Not measuredOnly GPT-5 Nano measured
LMArena Text: non-English1313Not measuredOnly GPT-5 Nano measured
LMArena Text: Chinese1356Not measuredOnly GPT-5 Nano measured
LMArena Text: German1327Not measuredOnly GPT-5 Nano measured
LMArena Text: Japanese1227Not measuredOnly GPT-5 Nano measured
LMArena Text: Korean1269Not measuredOnly GPT-5 Nano measured
LMArena Text: Spanish1360Not measuredOnly GPT-5 Nano measured
LMArena Text: Russian1296Not measuredOnly GPT-5 Nano measured
LMArena Text: Polish1314Not measuredOnly GPT-5 Nano measured
LMArena Text: multi-turn1311Not measuredOnly GPT-5 Nano measured
LMArena Text: longer queries1312Not measuredOnly GPT-5 Nano measured
LMArena Text: writing and language1283Not measuredOnly GPT-5 Nano measured
LMArena Text: entertainment and media1268Not measuredOnly GPT-5 Nano measured
LMArena Vision: English1170Not measuredOnly GPT-5 Nano measured
LMArena Vision: Chinese1176Not measuredOnly GPT-5 Nano measured
LMArena Vision: reading text1152Not measuredOnly GPT-5 Nano measured
LMArena Vision: humor1110Not measuredOnly GPT-5 Nano 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 GPT-5 Nano and Qwen3.6 35B A3B
BenchmarkGPT-5 NanoQwen3.6 35B A3BLeader
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
Qwen3.6 35B A3B$0.0006Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5 Nano$0.0037Fits in one request
Qwen3.6 35B A3B$0.0080Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5 Nano$0.014Fits in one request
Qwen3.6 35B A3B$0.030Fits 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 Qwen3.6 35B A3B
SpecificationOpenAI GPT-5 NanoQwen3.6 35B A3B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025April 27, 2026
Context window400K262K
Input $/Mtok$0.05$0.10
Output $/Mtok$0.40$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.109Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Nano better than Qwen3.6 35B A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5 Nano for output tokens 2.5x cheaper ($0.40 vs $1.00 per million) and a larger context window (400K against 262K tokens).

Which is cheaper, GPT-5 Nano or Qwen3.6 35B A3B?

GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens; Qwen3.6 35B A3B costs $0.10 and $1.00. Cost per solved task is known for GPT-5 Nano only.

Which has the bigger context window, GPT-5 Nano or Qwen3.6 35B A3B?

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

How many benchmarks is the GPT-5 Nano vs Qwen3.6 35B A3B comparison based on?

16 benchmarks have a result for both models as of October 22, 2026. GPT-5 Nano's coding index rests on 0 independent benchmarks and Qwen3.6 35B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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