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GPT-4.1 Nano vs Qwen3.5 Plus 2026-04-20

GPT-4.1 Nano costs 4.5x less per output token than Qwen3.5 Plus 2026-04-20 ($0.40 vs $1.80 per million). Updated October 22, 2026; 16 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace Qwen3.5 Plus 2026-04-20
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
1
Qwen3.5 Plus 2026-04-20Qwen
Coding
39.5
Overall
No data
Output $/M
$1.80
15
vs boards won of 16 shared

GPT-4.1 Nano or Qwen3.5 Plus 2026-04-20: which to pick

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; GPT-4.1 Nano has none, so the two cannot be ranked on coding.

Pick GPT-4.1 Nano for output tokens 4.5x cheaper ($0.40 vs $1.80 per million) and a larger context window (1.05M against 1M tokens).

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5 Plus 2026-04-20Qwen39.5/1002 independent benchmarks$1.35 per solved task
Shared results
16
GPT-4.1 Nano only
55
Qwen3.5 Plus 2026-04-20 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
GPT-4.1 Nano not benchmarked, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category
Math, 58.7 points apart on average over 2 shared benchmarks.
Widest single gap
AIME: GPT-4.1 Nano 26.5% against Qwen3.5 Plus 2026-04-20 86.0%, 59.6 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 4.5x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Qwen3.5 Plus 2026-04-20 1M.

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-4.1 NanoBarsQwen3.5 Plus 2026-04-20Ties
Coding01
Intelligence01
Reasoning13
Math02
Knowledge06
General02
All shared boards115
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for GPT-4.1 Nano and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4.1 NanoQwen3.5 Plus 2026-04-20Leader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
AA Coding Index11.1Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Vals AI)42.7%85.3%Qwen3.5 Plus 2026-04-20
SWE-bench Verified (Vals AI)Not measured71.2%Only Qwen3.5 Plus 2026-04-20 measured
Vibe Code Bench (Vals AI)Not measured15.7%Only Qwen3.5 Plus 2026-04-20 measured
LiveCodeBench (Artificial Analysis run)32.6%Not measuredOnly GPT-4.1 Nano measured
Terminal-Bench Hard (Artificial Analysis run)3.8%Not measuredOnly GPT-4.1 Nano measured
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
ALE-BenchNot measured608.9Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: coding1306Not measuredOnly GPT-4.1 Nano measured
LMArena Text: software and IT1305Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 Nano and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4.1 NanoQwen3.5 Plus 2026-04-20Leader
AA Intelligence Index7.8Not measuredOnly GPT-4.1 Nano measured
Epoch Capabilities Index129.5146.2Qwen3.5 Plus 2026-04-20
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-4.1 Nano and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4.1 NanoQwen3.5 Plus 2026-04-20Leader
τ²-Bench Telecom17.3%Not measuredOnly GPT-4.1 Nano measured
Vending-Bench 2Not measured$1Only Qwen3.5 Plus 2026-04-20 measured
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index13
Reasoning benchmarks for GPT-4.1 Nano and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4.1 NanoQwen3.5 Plus 2026-04-20Leader
GPQA Diamond50.8%87.4%Qwen3.5 Plus 2026-04-20
MMMU Pro (Vals AI)55.0%22.8%GPT-4.1 Nano
GPQA Diamond (Artificial Analysis run)51.2%Not measuredOnly GPT-4.1 Nano measured
Humanity's Last Exam (Artificial Analysis run)3.8%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Epoch AI run)48.9%84.8%Qwen3.5 Plus 2026-04-20
ARC-AGI0.0%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Nano measured
Chess puzzles0.0%8.0%Qwen3.5 Plus 2026-04-20
Mystery game puzzlesNot measured17.0%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: hard prompts1286Not measuredOnly GPT-4.1 Nano measured
LMArena Text: expert1271Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts in English1293Not measuredOnly GPT-4.1 Nano measured
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4.1 Nano and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4.1 NanoQwen3.5 Plus 2026-04-20Leader
AIME26.5%86.0%Qwen3.5 Plus 2026-04-20
MATH 500 (Vals AI)80.2%Not measuredOnly GPT-4.1 Nano measured
MGSM (Vals AI)69.3%Not measuredOnly GPT-4.1 Nano measured
AA Math Index24.0Not measuredOnly GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)24.0%Not measuredOnly GPT-4.1 Nano measured
OTIS Mock AIME28.9%86.7%Qwen3.5 Plus 2026-04-20
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math1274Not measuredOnly GPT-4.1 Nano measured
LMArena Text: mathematical work1274Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
Knowledge benchmarks for GPT-4.1 Nano and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4.1 NanoQwen3.5 Plus 2026-04-20Leader
MMLU Pro63.5%87.2%Qwen3.5 Plus 2026-04-20
LegalBench (Vals AI)61.1%85.1%Qwen3.5 Plus 2026-04-20
CaseLaw (Vals AI)Not measured59.7%Only Qwen3.5 Plus 2026-04-20 measured
CorpFin (Vals AI)42.1%65.3%Qwen3.5 Plus 2026-04-20
TaxEval (Vals AI)60.8%Not measuredOnly GPT-4.1 Nano measured
MortgageTax (Vals AI)52.8%60.8%Qwen3.5 Plus 2026-04-20
MedQA (Vals AI)68.2%95.2%Qwen3.5 Plus 2026-04-20
MMLU Pro (Artificial Analysis run)65.7%Not measuredOnly GPT-4.1 Nano measured
SimpleQA Verified6.0%25.4%Qwen3.5 Plus 2026-04-20
LMArena Text: science1297Not measuredOnly GPT-4.1 Nano measured
LMArena Text: medicine and healthcare1276Not measuredOnly GPT-4.1 Nano measured
LMArena Text: legal and government1300Not measuredOnly GPT-4.1 Nano measured
LMArena Text: business and finance1267Not measuredOnly GPT-4.1 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-4.1 Nano and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4.1 NanoQwen3.5 Plus 2026-04-20Leader
Design Arena: websites973Not measuredOnly GPT-4.1 Nano measured
Design Arena: UI components913Not measuredOnly GPT-4.1 Nano measured
Design Arena: game dev970Not measuredOnly GPT-4.1 Nano measured
Design Arena: data viz891Not measuredOnly GPT-4.1 Nano measured
Design Arena: 3D924Not measuredOnly GPT-4.1 Nano measured
Design Arena: all code categories962Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for GPT-4.1 Nano and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4.1 NanoQwen3.5 Plus 2026-04-20Leader
SAGE (Vals AI)Not measured30.4%Only Qwen3.5 Plus 2026-04-20 measured
IFBench32.0%Not measuredOnly GPT-4.1 Nano measured
Long context reasoning (AA-LCR)20.3%Not measuredOnly GPT-4.1 Nano measured
DTBench52.5%80.5%Qwen3.5 Plus 2026-04-20
LMCA5.5%36.4%Qwen3.5 Plus 2026-04-20
Fiction.LiveBench25.0%Not measuredOnly GPT-4.1 Nano measured
CL-benchNot measured19.8%Only Qwen3.5 Plus 2026-04-20 measured
CL-bench LifeNot measured12.4%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text1285Not measuredOnly GPT-4.1 Nano measured
LMArena Text: instruction following1266Not measuredOnly GPT-4.1 Nano measured
LMArena Text: creative writing1260Not measuredOnly GPT-4.1 Nano measured
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English1303Not measuredOnly GPT-4.1 Nano measured
LMArena Text: non-English1260Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Chinese1270Not measuredOnly GPT-4.1 Nano measured
LMArena Text: German1288Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Japanese1198Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Russian1261Not measuredOnly GPT-4.1 Nano measured
LMArena Text: multi-turn1277Not measuredOnly GPT-4.1 Nano measured
LMArena Text: longer queries1283Not measuredOnly GPT-4.1 Nano measured
LMArena Text: writing and language1261Not measuredOnly GPT-4.1 Nano measured
LMArena Text: entertainment and media1243Not measuredOnly GPT-4.1 Nano measured
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Nano and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4.1 NanoQwen3.5 Plus 2026-04-20Leader
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-4.1 Nano$0.0003Fits in one request
Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Nano$0.0062Fits in one request
Qwen3.5 Plus 2026-04-20$0.020Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Nano$0.024Fits in one request
Qwen3.5 Plus 2026-04-20$0.078Fits in one request

GPT-4.1 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-4.1 Nano and Qwen3.5 Plus 2026-04-20
SpecificationOpenAI GPT-4.1 NanoQwen3.5 Plus 2026-04-20
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025April 27, 2026
Context window1.05M1M
Input $/Mtok$0.10$0.30
Output $/Mtok$0.40$1.80
Coding indexNot benchmarked39.5
Independent measurements behind it02
Cost per solved taskNot computable$1.35
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than Qwen3.5 Plus 2026-04-20 for coding?

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; GPT-4.1 Nano has none, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for output tokens 4.5x cheaper ($0.40 vs $1.80 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, GPT-4.1 Nano or Qwen3.5 Plus 2026-04-20?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Cost per solved task is known for Qwen3.5 Plus 2026-04-20 only.

Which has the bigger context window, GPT-4.1 Nano or Qwen3.5 Plus 2026-04-20?

GPT-4.1 Nano, with 1.05M tokens against 1M.

How many benchmarks is the GPT-4.1 Nano vs Qwen3.5 Plus 2026-04-20 comparison based on?

16 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Nano's coding index rests on 0 independent benchmarks and Qwen3.5 Plus 2026-04-20's on 2. Where only one model has a result, the page says so instead of naming a winner.

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