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GPT-4.1 Mini vs Qwen3 30B A3B Instruct 2507

GPT-4.1 Mini leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 10.2 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 5.3x less per output token ($0.30 vs $1.60 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace Qwen3 30B A3B Instruct 2507
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
6
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
38
vs boards won of 44 shared

GPT-4.1 Mini or Qwen3 30B A3B Instruct 2507: which to pick

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

Pick GPT-4.1 Mini for a larger context window (1.05M against 262K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BQwen3 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
44
GPT-4.1 Mini only
42
Qwen3 30B A3B Instruct 2507 only
1
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-4.1 Mini not benchmarked, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Agentic work, 17.0 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: GPT-4.1 Mini 52.9% against Qwen3 30B A3B Instruct 2507 28.1%, 24.9 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 5.3x apart.
Context window
GPT-4.1 Mini takes 1.05M 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-4.1 MiniBarsQwen3 30B A3B Instruct 2507Ties
Coding13
Intelligence10
Agentic work20
Reasoning15
Math05
Knowledge05
General120
All shared boards638
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for GPT-4.1 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4.1 MiniQwen3 30B A3B Instruct 2507Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
AA Coding Index20.2Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)48.3%70.7%Qwen3 30B A3B Instruct 2507
SciCodeNot measured33.0%Only Qwen3 30B A3B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)7.6%6.1%GPT-4.1 Mini
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: coding13671416Qwen3 30B A3B Instruct 2507
LMArena Text: software and IT13601417Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4.1 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4.1 MiniQwen3 30B A3B Instruct 2507Leader
AA Intelligence Index10.27.5GPT-4.1 Mini
Epoch Capabilities Index134.9Not measuredOnly GPT-4.1 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for GPT-4.1 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4.1 MiniQwen3 30B A3B Instruct 2507Leader
τ²-Bench Telecom52.9%28.1%GPT-4.1 Mini
Berkeley Function Calling Leaderboard (BFCL)50.4%41.4%GPT-4.1 Mini
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
Reasoning benchmarks for GPT-4.1 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4.1 MiniQwen3 30B A3B Instruct 2507Leader
GPQA Diamond67.9%Not measuredOnly GPT-4.1 Mini measured
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%70.7%Qwen3 30B A3B Instruct 2507
Humanity's Last Exam (Artificial Analysis run)5.0%10.3%Qwen3 30B A3B Instruct 2507
GPQA Diamond (Epoch AI run)65.8%55.6%GPT-4.1 Mini
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
Chess puzzles1.0%Not measuredOnly GPT-4.1 Mini measured
Mystery game puzzles7.0%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts13491398Qwen3 30B A3B Instruct 2507
LMArena Text: expert13381397Qwen3 30B A3B Instruct 2507
LMArena Text: hard prompts in English13621406Qwen3 30B A3B Instruct 2507
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Kagi LLM Benchmark48.6%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for GPT-4.1 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4.1 MiniQwen3 30B A3B Instruct 2507Leader
AIME49.4%Not measuredOnly GPT-4.1 Mini measured
MATH 500 (Vals AI)88.0%Not measuredOnly GPT-4.1 Mini measured
MGSM (Vals AI)87.8%Not measuredOnly GPT-4.1 Mini measured
AA Math Index46.366.3Qwen3 30B A3B Instruct 2507
AIME 2025 (Artificial Analysis run)46.3%66.3%Qwen3 30B A3B Instruct 2507
OTIS Mock AIME44.7%62.2%Qwen3 30B A3B Instruct 2507
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431394Qwen3 30B A3B Instruct 2507
LMArena Text: mathematical work13471411Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4.1 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4.1 MiniQwen3 30B A3B Instruct 2507Leader
MMLU Pro77.2%Not measuredOnly GPT-4.1 Mini measured
LegalBench (Vals AI)78.0%Not measuredOnly GPT-4.1 Mini measured
CorpFin (Vals AI)57.9%Not measuredOnly GPT-4.1 Mini measured
TaxEval (Vals AI)71.9%Not measuredOnly GPT-4.1 Mini measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)78.1%80.5%Qwen3 30B A3B Instruct 2507
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281393Qwen3 30B A3B Instruct 2507
LMArena Text: medicine and healthcare13241392Qwen3 30B A3B Instruct 2507
LMArena Text: legal and government13431387Qwen3 30B A3B Instruct 2507
LMArena Text: business and finance13221389Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4.1 MiniQwen3 30B A3B Instruct 2507Leader
Design Arena: websites997Not measuredOnly GPT-4.1 Mini measured
Design Arena: UI components958Not measuredOnly GPT-4.1 Mini measured
Design Arena: game dev1070Not measuredOnly GPT-4.1 Mini measured
Design Arena: data viz1034Not measuredOnly GPT-4.1 Mini measured
Design Arena: 3D836Not measuredOnly GPT-4.1 Mini measured
Design Arena: all code categories993Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
General benchmarks for GPT-4.1 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4.1 MiniQwen3 30B A3B Instruct 2507Leader
IFBench38.3%50.7%Qwen3 30B A3B Instruct 2507
Long context reasoning (AA-LCR)44.0%61.3%Qwen3 30B A3B Instruct 2507
DTBench68.8%67.2%GPT-4.1 Mini
LMCA21.1%22.4%Qwen3 30B A3B Instruct 2507
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text13411384Qwen3 30B A3B Instruct 2507
LMArena Text: instruction following13331363Qwen3 30B A3B Instruct 2507
LMArena Text: creative writing12991317Qwen3 30B A3B Instruct 2507
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English13561391Qwen3 30B A3B Instruct 2507
LMArena Text: non-English13181372Qwen3 30B A3B Instruct 2507
LMArena Text: Chinese13291432Qwen3 30B A3B Instruct 2507
LMArena Text: German13501379Qwen3 30B A3B Instruct 2507
LMArena Text: Japanese12901337Qwen3 30B A3B Instruct 2507
LMArena Text: Korean12981330Qwen3 30B A3B Instruct 2507
LMArena Text: French13581419Qwen3 30B A3B Instruct 2507
LMArena Text: Spanish13191404Qwen3 30B A3B Instruct 2507
LMArena Text: Russian13241369Qwen3 30B A3B Instruct 2507
LMArena Text: Polish13261353Qwen3 30B A3B Instruct 2507
LMArena Text: multi-turn13541378Qwen3 30B A3B Instruct 2507
LMArena Text: longer queries13441378Qwen3 30B A3B Instruct 2507
LMArena Text: writing and language13191336Qwen3 30B A3B Instruct 2507
LMArena Text: entertainment and media13001334Qwen3 30B A3B Instruct 2507
LMArena Vision: English1191Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text1188Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: humor1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing1182Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4.1 MiniQwen3 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-4.1 Mini$0.0012Fits 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-4.1 Mini$0.025Fits 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-4.1 Mini$0.096Fits 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-4.1 Mini and Qwen3 30B A3B Instruct 2507
SpecificationOpenAI GPT-4.1 MiniQwen3 30B A3B Instruct 2507
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025July 29, 2025
Context window1.05M262K
Input $/Mtok$0.40$0.09
Output $/Mtok$1.60$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Qwen3 30B A3B Instruct 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for a larger context window (1.05M against 262K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4.1 Mini or Qwen3 30B A3B Instruct 2507?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Qwen3 30B A3B Instruct 2507?

GPT-4.1 Mini, with 1.05M tokens against 262K.

How many benchmarks is the GPT-4.1 Mini vs Qwen3 30B A3B Instruct 2507 comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 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.

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