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GPT-4.1 vs Qwen3 30B A3B

GPT-4.1 leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 12.7 to 7.6, and Qwen3 30B A3B costs 16.0x less per output token ($0.50 vs $8.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace GPT-4.1 Replace Qwen3 30B A3B
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
44
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
7
vs boards won of 51 shared

GPT-4.1 or Qwen3 30B A3B: which to pick

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

Pick GPT-4.1 for a larger context window (1.05M against 41K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Epoch Capabilities Index, where it leads.

Model AGPT-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved taskModel BQwen3 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
51
GPT-4.1 only
41
Qwen3 30B A3B only
1
Like-for-like categories
8 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 not benchmarked, Qwen3 30B A3B not benchmarked.
Widest category
Agentic work, 21.1 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GPT-4.1 68.3% against Qwen3 30B A3B 0.0%, 68.3 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against Qwen3 30B A3B $0.50 per million output tokens, 16.0x apart.
Context window
GPT-4.1 takes 1.05M tokens, Qwen3 30B A3B 41K.

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-4.1BarsQwen3 30B A3BTies
Coding41
Intelligence11
Agentic work10
Reasoning51
Math14
Knowledge50
Web design50
General220
All shared boards447
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
Coding benchmarks for GPT-4.1 and Qwen3 30B A3B
BenchmarkGPT-4.1Qwen3 30B A3BLeader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Vals AI)54.7%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)45.7%50.6%Qwen3 30B A3B
Terminal-Bench Hard (Artificial Analysis run)13.6%6.8%GPT-4.1
WeirdML39.0%29.8%GPT-4.1
ALE-Bench558.1Not measuredOnly GPT-4.1 measured
LMArena Text: coding13901337GPT-4.1
LMArena Text: software and IT13911340GPT-4.1
SciCode4.6%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-4.1 and Qwen3 30B A3B
BenchmarkGPT-4.1Qwen3 30B A3BLeader
AA Intelligence Index12.77.6GPT-4.1
Epoch Capabilities Index136.7137.3Qwen3 30B A3B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-4.1 and Qwen3 30B A3B
BenchmarkGPT-4.1Qwen3 30B A3BLeader
τ²-Bench Telecom47.1%26.0%GPT-4.1
Berkeley Function Calling Leaderboard (BFCL)54.0%Not measuredOnly GPT-4.1 measured
BrowseComp-Plus36.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
Reasoning benchmarks for GPT-4.1 and Qwen3 30B A3B
BenchmarkGPT-4.1Qwen3 30B A3BLeader
GPQA Diamond65.4%Not measuredOnly GPT-4.1 measured
MMMU Pro (Vals AI)72.4%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)66.6%61.6%GPT-4.1
Humanity's Last Exam (Artificial Analysis run)4.2%6.2%Qwen3 30B A3B
GPQA Diamond (Epoch AI run)66.9%61.7%GPT-4.1
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
LMArena Text: hard prompts13841314GPT-4.1
LMArena Text: expert13641314GPT-4.1
LMArena Text: hard prompts in English13931329GPT-4.1
LMArena Vision: diagrams1215Not measuredOnly GPT-4.1 measured
LMArena Vision: homework1248Not measuredOnly GPT-4.1 measured
Kagi LLM Benchmark52.3%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index14
Math benchmarks for GPT-4.1 and Qwen3 30B A3B
BenchmarkGPT-4.1Qwen3 30B A3BLeader
AIME39.6%Not measuredOnly GPT-4.1 measured
MATH 500 (Vals AI)87.2%Not measuredOnly GPT-4.1 measured
MGSM (Vals AI)87.7%Not measuredOnly GPT-4.1 measured
AA Math Index34.772.3Qwen3 30B A3B
AIME 2025 (Artificial Analysis run)34.7%72.3%Qwen3 30B A3B
OTIS Mock AIME38.3%62.8%Qwen3 30B A3B
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691355GPT-4.1
LMArena Text: mathematical work13601363Qwen3 30B A3B
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GPT-4.1 and Qwen3 30B A3B
BenchmarkGPT-4.1Qwen3 30B A3BLeader
MMLU Pro80.5%Not measuredOnly GPT-4.1 measured
LegalBench (Vals AI)83.1%Not measuredOnly GPT-4.1 measured
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%Not measuredOnly GPT-4.1 measured
TaxEval (Vals AI)75.1%Not measuredOnly GPT-4.1 measured
MortgageTax (Vals AI)65.9%Not measuredOnly GPT-4.1 measured
MedQA (Vals AI)91.2%Not measuredOnly GPT-4.1 measured
MMLU Pro (Artificial Analysis run)80.6%77.7%GPT-4.1
SimpleQA Verified31.1%Not measuredOnly GPT-4.1 measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821321GPT-4.1
LMArena Text: medicine and healthcare13791318GPT-4.1
LMArena Text: legal and government13991314GPT-4.1
LMArena Text: business and finance13691309GPT-4.1
FACTS Benchmark Suite45.8%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GPT-4.1 and Qwen3 30B A3B
BenchmarkGPT-4.1Qwen3 30B A3BLeader
Design Arena: websites1038954GPT-4.1
Design Arena: UI components997943GPT-4.1
Design Arena: game dev1079898GPT-4.1
Design Arena: data viz1104967GPT-4.1
Design Arena: 3D849Not measuredOnly GPT-4.1 measured
Design Arena: all code categories1025941GPT-4.1
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
General benchmarks for GPT-4.1 and Qwen3 30B A3B
BenchmarkGPT-4.1Qwen3 30B A3BLeader
IFBench43.0%41.5%GPT-4.1
Long context reasoning (AA-LCR)68.3%0.0%GPT-4.1
DTBench68.3%60.3%GPT-4.1
LMCA25.6%15.8%GPT-4.1
Fiction.LiveBench63.9%40.6%GPT-4.1
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
LMArena Text13831317GPT-4.1
LMArena Text: instruction following13671283GPT-4.1
LMArena Text: creative writing13631271GPT-4.1
LMArena Vision1210Not measuredOnly GPT-4.1 measured
LMArena Text: English13921335GPT-4.1
LMArena Text: non-English13701295GPT-4.1
LMArena Text: Chinese13821347GPT-4.1
LMArena Text: German13811307GPT-4.1
LMArena Text: Japanese13191254GPT-4.1
LMArena Text: Korean13381261GPT-4.1
LMArena Text: French13821352GPT-4.1
LMArena Text: Spanish13761317GPT-4.1
LMArena Text: Russian13771291GPT-4.1
LMArena Text: Polish13891299GPT-4.1
LMArena Text: multi-turn13971307GPT-4.1
LMArena Text: longer queries13851312GPT-4.1
LMArena Text: writing and language13711290GPT-4.1
LMArena Text: entertainment and media13651258GPT-4.1
LMArena Vision: English1209Not measuredOnly GPT-4.1 measured
LMArena Vision: Chinese1226Not measuredOnly GPT-4.1 measured
LMArena Vision: reading text1218Not measuredOnly GPT-4.1 measured
LMArena Vision: humor1196Not measuredOnly GPT-4.1 measured
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-4.1 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-4.1 and Qwen3 30B A3B
BenchmarkGPT-4.1Qwen3 30B 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-4.1$0.0060Fits in one request
Qwen3 30B A3B$0.0004Fits in one request

Qwen3 30B A3B costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
Qwen3 30B A3B$0.0075Exceeds the context window

Qwen3 30B A3B costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
Qwen3 30B A3B$0.029Exceeds the context window

Qwen3 30B A3B 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 and Qwen3 30B A3B
SpecificationOpenAI GPT-4.1Qwen3 30B A3B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025April 28, 2025
Context window1.05M41K
Input $/Mtok$2.00$0.12
Output $/Mtok$8.00$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than Qwen3 30B A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 for a larger context window (1.05M against 41K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Epoch Capabilities Index, where it leads.

Which is cheaper, GPT-4.1 or Qwen3 30B A3B?

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, GPT-4.1 or Qwen3 30B A3B?

GPT-4.1, with 1.05M tokens against 41K.

How many benchmarks is the GPT-4.1 vs Qwen3 30B A3B comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. GPT-4.1's coding index rests on 0 independent benchmarks and Qwen3 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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