GPT-5.4 Nano vs Qwen3.5 Plus 2026-04-20

GPT-5.4 Nano leads Qwen3.5 Plus 2026-04-20 on coding, 44.8 to 39.5 on the Vibe Coding Index, and GPT-5.4 Nano costs 1.4x less per output token ($1.25 vs $1.80 per million). Updated October 23, 2026; 21 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Qwen3.5 Plus 2026-04-20

GPT-5.4 NanoOpenAI

Coding: 44.8
Overall: 45.8
Output $/M: $1.25

Qwen3.5 Plus 2026-04-20Qwen

Coding: 39.5
Overall: No data
Output $/M: $1.80

vs boards won of 21 shared

GPT-5.4 Nano or Qwen3.5 Plus 2026-04-20: which to pick

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20.

Pick Qwen3.5 Plus 2026-04-20 for a larger context window (1M against 400K tokens) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task Model BQwen3.5 Plus 2026-04-20Qwen39.5/1002 independent benchmarks$1.35 per solved task

21644

Shared results: 21
GPT-5.4 Nano only: 64
Qwen3.5 Plus 2026-04-20 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.

Coding
Vibe Coding Index, six public coding benchmarks
GPT-5.4 Nano
GPT-5.4 Nano scores 44.8 against 39.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only GPT-5.4 Nano has a AA Intelligence Index result, 20.7.
Directional only
Agentic work
AA Agentic Index
No call
Only GPT-5.4 Nano has a AA Agentic Index result, 16.0.
Directional only
Reasoning
GPQA Diamond
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 leads, 87.4% against 77.5%.
Same board, both measured
Math
AIME
GPT-5.4 Nano
GPT-5.4 Nano leads, 88.8% against 86.0%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 leads, 87.2% against 77.2%.
Same board, both measured
Long documents
Listed context window
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Nano
GPT-5.4 Nano $0.0008, Qwen3.5 Plus 2026-04-20 $0.0012 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.4 Nano
GPT-5.4 Nano $0.14, Qwen3.5 Plus 2026-04-20 $1.35.
Published attempt cost and pass rate

At a glance

Coding index: GPT-5.4 Nano 44.8 from 2 benchmarks, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category: Reasoning, 22.4 points apart on average over 5 shared benchmarks.
Widest single gap: MMMU Pro (Vals AI): GPT-5.4 Nano 73.6% against Qwen3.5 Plus 2026-04-20 22.8%, 50.8 points apart on a 0 to 100 scale.
Output price: GPT-5.4 Nano $1.25 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 1.4x apart.
Context window: GPT-5.4 Nano takes 400K 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
Category	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20
Coding	2	2
Intelligence	0	1
Reasoning	2	3
Math	2	0
Knowledge	0	6
General	2	1
All shared boards	8	13

CodingLike-for-likeSix of these boards feed the Vibe Coding Index22

Coding benchmarks for GPT-5.4 Nano and Qwen3.5 Plus 2026-04-20
Benchmark	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20	Leader
AA Coding Index	56.1	Not measured	Only GPT-5.4 Nano measured
LiveCodeBench (Vals AI)	84.0%	85.3%	Qwen3.5 Plus 2026-04-20
SWE-bench Verified (Vals AI)	69.8%	71.2%	Qwen3.5 Plus 2026-04-20
Vibe Code Bench (Vals AI)	26.1%	15.7%	GPT-5.4 Nano
Code migration (Vals AI)	14.5%	Not measured	Only GPT-5.4 Nano measured
Terminal-Bench 2.1 (Vals AI)	41.6%	Not measured	Only GPT-5.4 Nano measured
SciCode	47.2%	Not measured	Only GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)	42.4%	Not measured	Only GPT-5.4 Nano measured
WeirdML	49.2%	Not measured	Only GPT-5.4 Nano measured
ALE-Bench	1004.5	608.9	GPT-5.4 Nano
LMArena Text: coding	1405	Not measured	Only GPT-5.4 Nano measured
LMArena Text: software and IT	1403	Not measured	Only GPT-5.4 Nano measured
Neither model has a result on the other 31 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for GPT-5.4 Nano and Qwen3.5 Plus 2026-04-20
Benchmark	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20	Leader
AA Intelligence Index	20.7	Not measured	Only GPT-5.4 Nano measured
Epoch Capabilities Index	146.0	146.2	Qwen3.5 Plus 2026-04-20

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared

Agentic work benchmarks for GPT-5.4 Nano and Qwen3.5 Plus 2026-04-20
Benchmark	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20	Leader
AA Agentic Index	16.0	Not measured	Only GPT-5.4 Nano measured
Finance Agent (Vals AI)	38.2%	Not measured	Only GPT-5.4 Nano measured
Tax Agent Bench (Vals AI)	5.0%	Not measured	Only GPT-5.4 Nano measured
Legal Research Bench (Vals AI)	6.3%	Not measured	Only GPT-5.4 Nano measured
Excel Modeling Benchmark (Vals AI)	44.8%	Not measured	Only GPT-5.4 Nano measured
τ²-Bench Telecom	76.0%	Not measured	Only GPT-5.4 Nano measured
Vending-Bench 2	Not measured	$1	Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 35 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index23

Reasoning benchmarks for GPT-5.4 Nano and Qwen3.5 Plus 2026-04-20
Benchmark	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20	Leader
GPQA Diamond	77.5%	87.4%	Qwen3.5 Plus 2026-04-20
MMMU Pro (Vals AI)	73.6%	22.8%	GPT-5.4 Nano
GPQA Diamond (Artificial Analysis run)	81.7%	Not measured	Only GPT-5.4 Nano measured
Humanity's Last Exam (Artificial Analysis run)	28.3%	Not measured	Only GPT-5.4 Nano measured
GPQA Diamond (Epoch AI run)	78.5%	84.8%	Qwen3.5 Plus 2026-04-20
ARC-AGI	51.5%	Not measured	Only GPT-5.4 Nano measured
ARC-AGI-2	5.7%	Not measured	Only GPT-5.4 Nano measured
Chess puzzles	45.0%	8.0%	GPT-5.4 Nano
Mystery game puzzles	9.0%	17.0%	Qwen3.5 Plus 2026-04-20
LMArena Text: hard prompts	1381	Not measured	Only GPT-5.4 Nano measured
LMArena Text: expert	1396	Not measured	Only GPT-5.4 Nano measured
LMArena Text: hard prompts in English	1387	Not measured	Only GPT-5.4 Nano measured
LMArena Vision: diagrams	1210	Not measured	Only GPT-5.4 Nano measured
LMArena Vision: homework	1225	Not measured	Only GPT-5.4 Nano measured
Kagi LLM Benchmark	39.7%	Not measured	Only GPT-5.4 Nano measured
Neither model has a result on the other 8 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index20

Math benchmarks for GPT-5.4 Nano and Qwen3.5 Plus 2026-04-20
Benchmark	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20	Leader
AIME	88.8%	86.0%	GPT-5.4 Nano
OTIS Mock AIME	87.8%	86.7%	GPT-5.4 Nano
FrontierMath, tiers 1 to 3	44.9%	Not measured	Only GPT-5.4 Nano measured
FrontierMath, tier 4	12.2%	Not measured	Only GPT-5.4 Nano measured
ProofBench	5.0%	Not measured	Only GPT-5.4 Nano measured
LMArena Text: math	1406	Not measured	Only GPT-5.4 Nano measured
LMArena Text: mathematical work	1409	Not measured	Only GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06

Knowledge benchmarks for GPT-5.4 Nano and Qwen3.5 Plus 2026-04-20
Benchmark	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20	Leader
MMLU Pro	77.2%	87.2%	Qwen3.5 Plus 2026-04-20
LegalBench (Vals AI)	77.9%	85.1%	Qwen3.5 Plus 2026-04-20
CaseLaw (Vals AI)	51.9%	59.7%	Qwen3.5 Plus 2026-04-20
CorpFin (Vals AI)	61.2%	65.3%	Qwen3.5 Plus 2026-04-20
TaxEval (Vals AI)	67.4%	Not measured	Only GPT-5.4 Nano measured
MortgageTax (Vals AI)	59.1%	60.8%	Qwen3.5 Plus 2026-04-20
MedQA (Vals AI)	Not measured	95.2%	Only Qwen3.5 Plus 2026-04-20 measured
MedCode (Vals AI)	41.0%	Not measured	Only GPT-5.4 Nano measured
SimpleQA Verified	11.7%	25.4%	Qwen3.5 Plus 2026-04-20
LMArena Text: science	1374	Not measured	Only GPT-5.4 Nano measured
LMArena Text: medicine and healthcare	1369	Not measured	Only GPT-5.4 Nano measured
LMArena Text: legal and government	1368	Not measured	Only GPT-5.4 Nano measured
LMArena Text: business and finance	1366	Not measured	Only GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here

Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Web design benchmarks for GPT-5.4 Nano and Qwen3.5 Plus 2026-04-20
Benchmark	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20	Leader
Neither model has a result on 9 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index21

General benchmarks for GPT-5.4 Nano and Qwen3.5 Plus 2026-04-20
Benchmark	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20	Leader
SAGE (Vals AI)	38.1%	30.4%	GPT-5.4 Nano
MedScribe (Vals AI)	77.1%	Not measured	Only GPT-5.4 Nano measured
Vals Multimodal Index	47.6%	Not measured	Only GPT-5.4 Nano measured
IFBench	75.9%	Not measured	Only GPT-5.4 Nano measured
Long context reasoning (AA-LCR)	76.7%	Not measured	Only GPT-5.4 Nano measured
DTBench	80.3%	80.5%	Qwen3.5 Plus 2026-04-20
LMCA	36.9%	36.4%	GPT-5.4 Nano
CL-bench	Not measured	19.8%	Only Qwen3.5 Plus 2026-04-20 measured
CL-bench Life	Not measured	12.4%	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text	1372	Not measured	Only GPT-5.4 Nano measured
LMArena Text: instruction following	1362	Not measured	Only GPT-5.4 Nano measured
LMArena Text: creative writing	1314	Not measured	Only GPT-5.4 Nano measured
LMArena Vision	1196	Not measured	Only GPT-5.4 Nano measured
LMArena Text: English	1381	Not measured	Only GPT-5.4 Nano measured
LMArena Text: non-English	1360	Not measured	Only GPT-5.4 Nano measured
LMArena Text: Chinese	1391	Not measured	Only GPT-5.4 Nano measured
LMArena Text: German	1368	Not measured	Only GPT-5.4 Nano measured
LMArena Text: Japanese	1343	Not measured	Only GPT-5.4 Nano measured
LMArena Text: Korean	1320	Not measured	Only GPT-5.4 Nano measured
LMArena Text: French	1395	Not measured	Only GPT-5.4 Nano measured
LMArena Text: Spanish	1371	Not measured	Only GPT-5.4 Nano measured
LMArena Text: Russian	1362	Not measured	Only GPT-5.4 Nano measured
LMArena Text: Polish	1366	Not measured	Only GPT-5.4 Nano measured
LMArena Text: multi-turn	1382	Not measured	Only GPT-5.4 Nano measured
LMArena Text: longer queries	1366	Not measured	Only GPT-5.4 Nano measured
LMArena Text: writing and language	1338	Not measured	Only GPT-5.4 Nano measured
LMArena Text: entertainment and media	1324	Not measured	Only GPT-5.4 Nano measured
LMArena Vision: English	1202	Not measured	Only GPT-5.4 Nano measured
LMArena Vision: Chinese	1232	Not measured	Only GPT-5.4 Nano measured
LMArena Vision: reading text	1204	Not measured	Only GPT-5.4 Nano measured
LMArena Vision: humor	1161	Not measured	Only GPT-5.4 Nano measured
LMArena Vision: recognizing things	1141	Not measured	Only GPT-5.4 Nano measured
LMArena Vision: creative writing	1159	Not measured	Only GPT-5.4 Nano measured
Neither model has a result on the other 15 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for GPT-5.4 Nano and Qwen3.5 Plus 2026-04-20
Benchmark	GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20	Leader
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-5.4 Nano$0.0008Fits in one request

Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request

Qwen3.5 Plus 2026-04-20$0.020Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request

Qwen3.5 Plus 2026-04-20$0.078Fits in one request

GPT-5.4 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-5.4 Nano and Qwen3.5 Plus 2026-04-20
Specification	OpenAI GPT-5.4 Nano	Qwen3.5 Plus 2026-04-20
Maker	OpenAI	Qwen
Weights	No public weights listed	No public weights listed
Released	March 17, 2026	April 27, 2026
Context window	400K	1M
Input $/Mtok	$0.20	$0.30
Output $/Mtok	$1.25	$1.80
Coding index	44.8	39.5
Independent measurements behind it	2	2
Cost per solved task	$0.14	$1.35
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-5.4 Nano better than Qwen3.5 Plus 2026-04-20 for coding?

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 39.5 for Qwen3.5 Plus 2026-04-20. Pick Qwen3.5 Plus 2026-04-20 for a larger context window (1M against 400K tokens) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.

Which is cheaper, GPT-5.4 Nano or Qwen3.5 Plus 2026-04-20?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Per solved SWE-bench Verified task, GPT-5.4 Nano costs $0.14 and Qwen3.5 Plus 2026-04-20 $1.35.

Which has the bigger context window, GPT-5.4 Nano or Qwen3.5 Plus 2026-04-20?

Qwen3.5 Plus 2026-04-20, with 1M tokens against 400K.

How many benchmarks is the GPT-5.4 Nano vs Qwen3.5 Plus 2026-04-20 comparison based on?

21 benchmarks have a result for both models as of October 23, 2026. GPT-5.4 Nano's coding index rests on 2 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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GPT-5.4 Nano or Qwen3.5 Plus 2026-04-20: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next