Enter opens the highlighted result. Esc closes.

GPT-5.4 Nano vs Qwen3 30B A3B Instruct 2507

GPT-5.4 Nano leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 20.7 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 4.2x less per output token ($0.30 vs $1.25 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Qwen3 30B A3B Instruct 2507
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
17
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
23
vs boards won of 40 shared

GPT-5.4 Nano or Qwen3 30B A3B Instruct 2507: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3 30B A3B Instruct 2507 has none, so the two cannot be ranked on coding.

Pick Qwen3 30B A3B Instruct 2507 for output tokens 4.2x cheaper ($0.30 vs $1.25 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved taskModel BQwen3 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
40
GPT-5.4 Nano only
45
Qwen3 30B A3B Instruct 2507 only
5
Like-for-like categories
7 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, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Agentic work, 48.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-5.4 Nano 76.0% against Qwen3 30B A3B Instruct 2507 28.1%, 48.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 4.2x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Qwen3 30B A3B Instruct 2507 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-5.4 NanoBarsQwen3 30B A3B Instruct 2507Ties
Coding22
Intelligence10
Agentic work10
Reasoning33
Math21
Knowledge04
General813
All shared boards1723
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for GPT-5.4 Nano and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5.4 NanoQwen3 30B A3B Instruct 2507Leader
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 measured70.7%Only Qwen3 30B A3B Instruct 2507 measured
SciCode47.2%33.0%GPT-5.4 Nano
Terminal-Bench Hard (Artificial Analysis run)42.4%6.1%GPT-5.4 Nano
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5Not measuredOnly GPT-5.4 Nano measured
LMArena Text: coding14041416Qwen3 30B A3B Instruct 2507
LMArena Text: software and IT14021417Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 Nano and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5.4 NanoQwen3 30B A3B Instruct 2507Leader
AA Intelligence Index20.77.5GPT-5.4 Nano
Epoch Capabilities Index146.0Not measuredOnly GPT-5.4 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.4 Nano and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5.4 NanoQwen3 30B A3B Instruct 2507Leader
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%28.1%GPT-5.4 Nano
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for GPT-5.4 Nano and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5.4 NanoQwen3 30B A3B Instruct 2507Leader
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%70.7%GPT-5.4 Nano
Humanity's Last Exam (Artificial Analysis run)28.3%10.3%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)78.5%55.6%GPT-5.4 Nano
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 prompts13811398Qwen3 30B A3B Instruct 2507
LMArena Text: expert13961397Qwen3 30B A3B Instruct 2507
LMArena Text: hard prompts in English13871406Qwen3 30B A3B Instruct 2507
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 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for GPT-5.4 Nano and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5.4 NanoQwen3 30B A3B Instruct 2507Leader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
AA Math IndexNot measured66.3Only Qwen3 30B A3B Instruct 2507 measured
AIME 2025 (Artificial Analysis run)Not measured66.3%Only Qwen3 30B A3B Instruct 2507 measured
OTIS Mock AIME87.8%62.2%GPT-5.4 Nano
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
LMArena Text: math14051394GPT-5.4 Nano
LMArena Text: mathematical work14091411Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5.4 Nano and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5.4 NanoQwen3 30B A3B Instruct 2507Leader
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 measured80.5%Only Qwen3 30B A3B Instruct 2507 measured
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: science13741393Qwen3 30B A3B Instruct 2507
LMArena Text: medicine and healthcare13691392Qwen3 30B A3B Instruct 2507
LMArena Text: legal and government13681387Qwen3 30B A3B Instruct 2507
LMArena Text: business and finance13661389Qwen3 30B A3B Instruct 2507
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 30B A3B Instruct 2507
BenchmarkGPT-5.4 NanoQwen3 30B A3B Instruct 2507Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index813
General benchmarks for GPT-5.4 Nano and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5.4 NanoQwen3 30B A3B Instruct 2507Leader
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%50.7%GPT-5.4 Nano
Long context reasoning (AA-LCR)76.7%61.3%GPT-5.4 Nano
DTBench80.3%67.2%GPT-5.4 Nano
LMCA36.9%22.4%GPT-5.4 Nano
LMArena Text13721384Qwen3 30B A3B Instruct 2507
LMArena Text: instruction following13621363Qwen3 30B A3B Instruct 2507
LMArena Text: creative writing13151317Qwen3 30B A3B Instruct 2507
LMArena Vision1196Not measuredOnly GPT-5.4 Nano measured
LMArena Text: English13811391Qwen3 30B A3B Instruct 2507
LMArena Text: non-English13591372Qwen3 30B A3B Instruct 2507
LMArena Text: Chinese13911432Qwen3 30B A3B Instruct 2507
LMArena Text: German13681379Qwen3 30B A3B Instruct 2507
LMArena Text: Japanese13431337GPT-5.4 Nano
LMArena Text: Korean13211330Qwen3 30B A3B Instruct 2507
LMArena Text: French13951419Qwen3 30B A3B Instruct 2507
LMArena Text: Spanish13711404Qwen3 30B A3B Instruct 2507
LMArena Text: Russian13631369Qwen3 30B A3B Instruct 2507
LMArena Text: Polish13661353GPT-5.4 Nano
LMArena Text: multi-turn13821378GPT-5.4 Nano
LMArena Text: longer queries13651378Qwen3 30B A3B Instruct 2507
LMArena Text: writing and language13381336GPT-5.4 Nano
LMArena Text: entertainment and media13251334Qwen3 30B A3B Instruct 2507
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 17 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 30B A3B Instruct 2507
BenchmarkGPT-5.4 NanoQwen3 30B A3B Instruct 2507Leader
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 30B A3B Instruct 2507$0.0002Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request
Qwen3 30B A3B Instruct 2507$0.0054Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
Qwen3 30B A3B Instruct 2507$0.021Fits in one request

Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507
SpecificationOpenAI GPT-5.4 NanoQwen3 30B A3B Instruct 2507
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026July 29, 2025
Context window400K262K
Input $/Mtok$0.20$0.09
Output $/Mtok$1.25$0.30
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 Qwen3 30B A3B Instruct 2507 for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3 30B A3B Instruct 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 30B A3B Instruct 2507 for output tokens 4.2x cheaper ($0.30 vs $1.25 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5.4 Nano or Qwen3 30B A3B Instruct 2507?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, GPT-5.4 Nano or Qwen3 30B A3B Instruct 2507?

GPT-5.4 Nano, with 400K tokens against 262K.

How many benchmarks is the GPT-5.4 Nano vs Qwen3 30B A3B Instruct 2507 comparison based on?

40 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 Qwen3 30B A3B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next