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GPT-5.4 Nano vs Qwen2.5 Coder 32B Instruct

GPT-5.4 Nano leads Qwen2.5 Coder 32B Instruct on the Artificial Analysis Intelligence Index, 20.7 to 6.7, and Qwen2.5 Coder 32B Instruct costs 1.3x less per output token ($1.00 vs $1.25 per million). Updated October 22, 2026; 26 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Qwen2.5 Coder 32B Instruct
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
26
Qwen2.5 Coder 32B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
0
vs boards won of 26 shared

GPT-5.4 Nano or Qwen2.5 Coder 32B Instruct: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen2.5 Coder 32B Instruct has none, so the two cannot be ranked on coding.

Pick Qwen2.5 Coder 32B Instruct for output tokens 1.3x cheaper ($1.00 vs $1.25 per million).

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved taskModel BQwen2.5 Coder 32B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
26
GPT-5.4 Nano only
59
Qwen2.5 Coder 32B Instruct 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-5.4 Nano 44.8 from 2 benchmarks, Qwen2.5 Coder 32B Instruct not benchmarked.
Widest category
Reasoning, 27.1 points apart on average over 5 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): GPT-5.4 Nano 81.7% against Qwen2.5 Coder 32B Instruct 41.7%, 40.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Qwen2.5 Coder 32B Instruct $1.00 per million output tokens, 1.3x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Qwen2.5 Coder 32B Instruct 33K.

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-5.4 NanoBarsQwen2.5 Coder 32B InstructTies
Coding20
Intelligence20
Reasoning50
Math20
Knowledge40
General110
All shared boards260
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GPT-5.4 Nano and Qwen2.5 Coder 32B Instruct
BenchmarkGPT-5.4 NanoQwen2.5 Coder 32B InstructLeader
Aider polyglotNot measured16.4%Only Qwen2.5 Coder 32B Instruct measured
SWE-bench VerifiedNot measured47.0%Only Qwen2.5 Coder 32B Instruct measured
AA Coding Index56.1Not measuredOnly GPT-5.4 Nano measured
LiveCodeBench (Vals AI)84.0%Not measuredOnly GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)69.8%Not measuredOnly GPT-5.4 Nano measured
Vibe Code Bench (Vals AI)26.1%Not measuredOnly GPT-5.4 Nano measured
Code migration (Vals AI)14.5%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench 2.1 (Vals AI)41.6%Not measuredOnly GPT-5.4 Nano measured
LiveCodeBench (Artificial Analysis run)Not measured29.5%Only Qwen2.5 Coder 32B Instruct measured
SciCode47.2%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)42.4%Not measuredOnly GPT-5.4 Nano measured
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5Not measuredOnly GPT-5.4 Nano measured
LMArena Text: coding14041276GPT-5.4 Nano
LMArena Text: software and IT14021261GPT-5.4 Nano
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.4 Nano and Qwen2.5 Coder 32B Instruct
BenchmarkGPT-5.4 NanoQwen2.5 Coder 32B InstructLeader
AA Intelligence Index20.76.7GPT-5.4 Nano
Epoch Capabilities Index146.0119.5GPT-5.4 Nano
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for GPT-5.4 Nano and Qwen2.5 Coder 32B Instruct
BenchmarkGPT-5.4 NanoQwen2.5 Coder 32B InstructLeader
AA Agentic Index16.0Not measuredOnly GPT-5.4 Nano measured
Finance Agent (Vals AI)38.2%Not measuredOnly GPT-5.4 Nano measured
Tax Agent Bench (Vals AI)5.0%Not measuredOnly GPT-5.4 Nano measured
Legal Research Bench (Vals AI)6.3%Not measuredOnly GPT-5.4 Nano measured
Excel Modeling Benchmark (Vals AI)44.8%Not measuredOnly GPT-5.4 Nano measured
τ²-Bench Telecom76.0%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GPT-5.4 Nano and Qwen2.5 Coder 32B Instruct
BenchmarkGPT-5.4 NanoQwen2.5 Coder 32B InstructLeader
GPQA Diamond77.5%Not measuredOnly GPT-5.4 Nano measured
MMMU Pro (Vals AI)73.6%Not measuredOnly GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)81.7%41.7%GPT-5.4 Nano
Humanity's Last Exam (Artificial Analysis run)28.3%3.5%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)78.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI51.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI-25.7%Not measuredOnly GPT-5.4 Nano measured
Chess puzzles45.0%Not measuredOnly GPT-5.4 Nano measured
Mystery game puzzles9.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts13811251GPT-5.4 Nano
LMArena Text: expert13961221GPT-5.4 Nano
LMArena Text: hard prompts in English13871269GPT-5.4 Nano
LMArena Vision: diagrams1210Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: homework1225Not measuredOnly GPT-5.4 Nano measured
Kagi LLM Benchmark39.7%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-5.4 Nano and Qwen2.5 Coder 32B Instruct
BenchmarkGPT-5.4 NanoQwen2.5 Coder 32B InstructLeader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
OTIS Mock AIME87.8%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tiers 1 to 344.9%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5.4 Nano measured
ProofBench5.0%Not measuredOnly GPT-5.4 Nano measured
GSM8KNot measured93.0%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: math14051251GPT-5.4 Nano
LMArena Text: mathematical work14091243GPT-5.4 Nano
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GPT-5.4 Nano and Qwen2.5 Coder 32B Instruct
BenchmarkGPT-5.4 NanoQwen2.5 Coder 32B InstructLeader
MMLU Pro77.2%Not measuredOnly GPT-5.4 Nano measured
LegalBench (Vals AI)77.9%Not measuredOnly GPT-5.4 Nano measured
CaseLaw (Vals AI)51.9%Not measuredOnly GPT-5.4 Nano measured
CorpFin (Vals AI)61.2%Not measuredOnly GPT-5.4 Nano measured
TaxEval (Vals AI)67.4%Not measuredOnly GPT-5.4 Nano measured
MortgageTax (Vals AI)59.1%Not measuredOnly GPT-5.4 Nano measured
MedCode (Vals AI)41.0%Not measuredOnly GPT-5.4 Nano measured
MMLU Pro (Artificial Analysis run)Not measured63.5%Only Qwen2.5 Coder 32B Instruct measured
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
MMLUNot measured79.1%Only Qwen2.5 Coder 32B Instruct measured
AI2 Reasoning ChallengeNot measured70.5%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text: science13741221GPT-5.4 Nano
LMArena Text: medicine and healthcare13691187GPT-5.4 Nano
LMArena Text: legal and government13681257GPT-5.4 Nano
LMArena Text: business and finance13661224GPT-5.4 Nano
Neither model has a result on the other 3 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 Qwen2.5 Coder 32B Instruct
BenchmarkGPT-5.4 NanoQwen2.5 Coder 32B InstructLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index110
General benchmarks for GPT-5.4 Nano and Qwen2.5 Coder 32B Instruct
BenchmarkGPT-5.4 NanoQwen2.5 Coder 32B InstructLeader
SAGE (Vals AI)38.1%Not measuredOnly GPT-5.4 Nano measured
MedScribe (Vals AI)77.1%Not measuredOnly GPT-5.4 Nano measured
Vals Multimodal Index47.6%Not measuredOnly GPT-5.4 Nano measured
IFBench75.9%Not measuredOnly GPT-5.4 Nano measured
Long context reasoning (AA-LCR)76.7%Not measuredOnly GPT-5.4 Nano measured
DTBench80.3%Not measuredOnly GPT-5.4 Nano measured
LMCA36.9%Not measuredOnly GPT-5.4 Nano measured
HellaSwagNot measured83.0%Only Qwen2.5 Coder 32B Instruct measured
WinoGrandeNot measured80.8%Only Qwen2.5 Coder 32B Instruct measured
LMArena Text13721230GPT-5.4 Nano
LMArena Text: instruction following13621223GPT-5.4 Nano
LMArena Text: creative writing13151174GPT-5.4 Nano
LMArena Vision1196Not measuredOnly GPT-5.4 Nano measured
LMArena Text: English13811248GPT-5.4 Nano
LMArena Text: non-English13591205GPT-5.4 Nano
LMArena Text: Chinese13911222GPT-5.4 Nano
LMArena Text: German1368Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Japanese1343Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Korean1321Not measuredOnly GPT-5.4 Nano measured
LMArena Text: French1395Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Spanish1371Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Russian13631228GPT-5.4 Nano
LMArena Text: Polish1366Not measuredOnly GPT-5.4 Nano measured
LMArena Text: multi-turn13821222GPT-5.4 Nano
LMArena Text: longer queries13651251GPT-5.4 Nano
LMArena Text: writing and language13381191GPT-5.4 Nano
LMArena Text: entertainment and media13251150GPT-5.4 Nano
LMArena Vision: English1202Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: Chinese1232Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: reading text1204Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: humor1161Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: recognizing things1141Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: creative writing1159Not measuredOnly GPT-5.4 Nano measured
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-5.4 Nano and Qwen2.5 Coder 32B Instruct
BenchmarkGPT-5.4 NanoQwen2.5 Coder 32B InstructLeader
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
Qwen2.5 Coder 32B Instruct$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
Qwen2.5 Coder 32B Instruct$0.036Exceeds the context window

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
Qwen2.5 Coder 32B Instruct$0.142Exceeds the context window

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 Qwen2.5 Coder 32B Instruct
SpecificationOpenAI GPT-5.4 NanoQwen2.5 Coder 32B Instruct
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026November 11, 2024
Context window400K33K
Input $/Mtok$0.20$0.66
Output $/Mtok$1.25$1.00
Coding index44.8Not benchmarked
Independent measurements behind it20
Cost per solved task$0.14Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Nano better than Qwen2.5 Coder 32B Instruct for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen2.5 Coder 32B Instruct has none, so the two cannot be ranked on coding. Pick Qwen2.5 Coder 32B Instruct for output tokens 1.3x cheaper ($1.00 vs $1.25 per million).

Which is cheaper, GPT-5.4 Nano or Qwen2.5 Coder 32B Instruct?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen2.5 Coder 32B Instruct costs $0.66 and $1.00. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, GPT-5.4 Nano or Qwen2.5 Coder 32B Instruct?

GPT-5.4 Nano, with 400K tokens against 33K.

How many benchmarks is the GPT-5.4 Nano vs Qwen2.5 Coder 32B Instruct comparison based on?

26 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Nano's coding index rests on 2 independent benchmarks and Qwen2.5 Coder 32B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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