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o4 Mini vs Qwen3 30B A3B Instruct 2507

o4 Mini leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 16.7 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 14.7x less per output token ($0.30 vs $4.40 per million). Updated October 21, 2026; 44 benchmarks have a result for both.

o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
16
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
28
vs boards won of 44 shared

o4 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 o4 Mini for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
44
o4 Mini only
54
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
o4 Mini not benchmarked, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Agentic work, 19.7 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: o4 Mini 55.6% against Qwen3 30B A3B Instruct 2507 28.1%, 27.5 points apart on a 0 to 100 scale.
Output price
o4 Mini $4.40 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 14.7x apart.
Context window
o4 Mini takes 200K 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
Categoryo4 MiniBarsQwen3 30B A3B Instruct 2507Ties
Coding22
Intelligence10
Agentic work20
Reasoning33
Math32
Knowledge14
General417
All shared boards1628
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for o4 Mini and Qwen3 30B A3B Instruct 2507
Benchmarko4 MiniQwen3 30B A3B Instruct 2507Leader
Aider polyglot72.0%Not measuredOnly o4 Mini measured
SWE-bench Verified64.6%Not measuredOnly o4 Mini measured
SWE-bench Multimodal33.9%Not measuredOnly o4 Mini measured
LiveCodeBench (Vals AI)82.2%Not measuredOnly o4 Mini measured
LiveCodeBench (Artificial Analysis run)85.9%70.7%o4 Mini
SciCodeNot measured33.0%Only Qwen3 30B A3B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)15.2%6.1%o4 Mini
GSO-Bench3.6%Not measuredOnly o4 Mini measured
WeirdML52.6%Not measuredOnly o4 Mini measured
LMArena Text: coding13681416Qwen3 30B A3B Instruct 2507
LMArena Text: software and IT13671417Qwen3 30B A3B Instruct 2507
SciCode10.8%Not measuredOnly o4 Mini measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for o4 Mini and Qwen3 30B A3B Instruct 2507
Benchmarko4 MiniQwen3 30B A3B Instruct 2507Leader
AA Intelligence Index16.77.5o4 Mini
Epoch Capabilities Index145.5Not measuredOnly o4 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for o4 Mini and Qwen3 30B A3B Instruct 2507
Benchmarko4 MiniQwen3 30B A3B Instruct 2507Leader
τ²-Bench Telecom55.6%28.1%o4 Mini
METR time horizons63.9%Not measuredOnly o4 Mini measured
Berkeley Function Calling Leaderboard (BFCL)53.2%41.4%o4 Mini
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for o4 Mini and Qwen3 30B A3B Instruct 2507
Benchmarko4 MiniQwen3 30B A3B Instruct 2507Leader
GPQA Diamond74.5%Not measuredOnly o4 Mini measured
MMMU Pro (Vals AI)79.7%Not measuredOnly o4 Mini measured
GPQA Diamond (Artificial Analysis run)78.4%70.7%o4 Mini
Humanity's Last Exam (Artificial Analysis run)16.5%10.3%o4 Mini
GPQA Diamond (Epoch AI run)79.6%55.6%o4 Mini
ARC-AGI58.7%Not measuredOnly o4 Mini measured
ARC-AGI-26.1%Not measuredOnly o4 Mini measured
SimpleBench38.7%Not measuredOnly o4 Mini measured
Chess puzzles22.0%Not measuredOnly o4 Mini measured
Mystery game puzzles5.0%Not measuredOnly o4 Mini measured
VPCT57.5%Not measuredOnly o4 Mini measured
LMArena Text: hard prompts13511398Qwen3 30B A3B Instruct 2507
LMArena Text: expert13431397Qwen3 30B A3B Instruct 2507
LMArena Text: hard prompts in English13661406Qwen3 30B A3B Instruct 2507
LMArena Vision: diagrams1197Not measuredOnly o4 Mini measured
LMArena Vision: homework1234Not measuredOnly o4 Mini measured
Kagi LLM Benchmark67.6%Not measuredOnly o4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for o4 Mini and Qwen3 30B A3B Instruct 2507
Benchmarko4 MiniQwen3 30B A3B Instruct 2507Leader
AIME83.7%Not measuredOnly o4 Mini measured
MATH 500 (Vals AI)94.2%Not measuredOnly o4 Mini measured
MGSM (Vals AI)93.4%Not measuredOnly o4 Mini measured
AA Math Index90.766.3o4 Mini
AIME 2025 (Artificial Analysis run)90.7%66.3%o4 Mini
OTIS Mock AIME81.7%62.2%o4 Mini
FrontierMath, tiers 1 to 336.1%Not measuredOnly o4 Mini measured
FrontierMath, tier 44.9%Not measuredOnly o4 Mini measured
MATH level 597.8%Not measuredOnly o4 Mini measured
LMArena Text: math13891394Qwen3 30B A3B Instruct 2507
LMArena Text: mathematical work13791411Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for o4 Mini and Qwen3 30B A3B Instruct 2507
Benchmarko4 MiniQwen3 30B A3B Instruct 2507Leader
MMLU Pro80.6%Not measuredOnly o4 Mini measured
LegalBench (Vals AI)79.2%Not measuredOnly o4 Mini measured
CorpFin (Vals AI)59.0%Not measuredOnly o4 Mini measured
TaxEval (Vals AI)74.8%Not measuredOnly o4 Mini measured
MortgageTax (Vals AI)64.8%Not measuredOnly o4 Mini measured
MedQA (Vals AI)96.0%Not measuredOnly o4 Mini measured
MedCode (Vals AI)33.8%Not measuredOnly o4 Mini measured
MMLU Pro (Artificial Analysis run)83.2%80.5%o4 Mini
SimpleQA Verified19.6%Not measuredOnly o4 Mini measured
GeoBench64.0%Not measuredOnly o4 Mini measured
LMArena Text: science13541393Qwen3 30B A3B Instruct 2507
LMArena Text: medicine and healthcare13611392Qwen3 30B A3B Instruct 2507
LMArena Text: legal and government13501387Qwen3 30B A3B Instruct 2507
LMArena Text: business and finance13251389Qwen3 30B A3B Instruct 2507
FACTS Benchmark Suite28.1%Not measuredOnly o4 Mini measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for o4 Mini and Qwen3 30B A3B Instruct 2507
Benchmarko4 MiniQwen3 30B A3B Instruct 2507Leader
Design Arena: websites985Not measuredOnly o4 Mini measured
Design Arena: UI components983Not measuredOnly o4 Mini measured
Design Arena: game dev1003Not measuredOnly o4 Mini measured
Design Arena: data viz990Not measuredOnly o4 Mini measured
Design Arena: 3D854Not measuredOnly o4 Mini measured
Design Arena: all code categories976Not measuredOnly o4 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index417
General benchmarks for o4 Mini and Qwen3 30B A3B Instruct 2507
Benchmarko4 MiniQwen3 30B A3B Instruct 2507Leader
SAGE (Vals AI)41.1%Not measuredOnly o4 Mini measured
MedScribe (Vals AI)69.1%Not measuredOnly o4 Mini measured
IFBench68.7%50.7%o4 Mini
Long context reasoning (AA-LCR)61.0%61.3%Qwen3 30B A3B Instruct 2507
DTBench77.6%67.2%o4 Mini
LMCA26.5%22.4%o4 Mini
Fiction.LiveBench77.8%Not measuredOnly o4 Mini measured
Creative writing (Lech Mazur)75.0%Not measuredOnly o4 Mini measured
LMArena Text13531384Qwen3 30B A3B Instruct 2507
LMArena Text: instruction following13201363Qwen3 30B A3B Instruct 2507
LMArena Text: creative writing12941317Qwen3 30B A3B Instruct 2507
LMArena Vision1194Not measuredOnly o4 Mini measured
LMArena Text: English13671391Qwen3 30B A3B Instruct 2507
LMArena Text: non-English13371372Qwen3 30B A3B Instruct 2507
LMArena Text: Chinese13541432Qwen3 30B A3B Instruct 2507
LMArena Text: German13361379Qwen3 30B A3B Instruct 2507
LMArena Text: Japanese13081337Qwen3 30B A3B Instruct 2507
LMArena Text: Korean13121330Qwen3 30B A3B Instruct 2507
LMArena Text: French13641419Qwen3 30B A3B Instruct 2507
LMArena Text: Spanish13461404Qwen3 30B A3B Instruct 2507
LMArena Text: Russian13341369Qwen3 30B A3B Instruct 2507
LMArena Text: Polish13581353o4 Mini
LMArena Text: multi-turn13501378Qwen3 30B A3B Instruct 2507
LMArena Text: longer queries13151378Qwen3 30B A3B Instruct 2507
LMArena Text: writing and language13161336Qwen3 30B A3B Instruct 2507
LMArena Text: entertainment and media13081334Qwen3 30B A3B Instruct 2507
LMArena Vision: English1200Not measuredOnly o4 Mini measured
LMArena Vision: Chinese1218Not measuredOnly o4 Mini measured
LMArena Vision: reading text1197Not measuredOnly o4 Mini measured
LMArena Vision: humor1199Not measuredOnly o4 Mini measured
LMArena Vision: captioning1204Not measuredOnly o4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly o4 Mini measured
LMArena Vision: creative writing1166Not measuredOnly o4 Mini 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 o4 Mini and Qwen3 30B A3B Instruct 2507
Benchmarko4 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

o4 Mini$0.0033Fits 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

o4 Mini$0.068Fits 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

o4 Mini$0.264Exceeds the context window
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 o4 Mini and Qwen3 30B A3B Instruct 2507
SpecificationOpenAI o4 MiniQwen3 30B A3B Instruct 2507
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2025July 29, 2025
Context window200K262K
Input $/Mtok$1.10$0.09
Output $/Mtok$4.40$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o4 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 o4 Mini for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, o4 Mini or Qwen3 30B A3B Instruct 2507?

o4 Mini costs $1.10 per million input tokens and $4.40 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, o4 Mini or Qwen3 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507, with 262K tokens against 200K.

How many benchmarks is the o4 Mini vs Qwen3 30B A3B Instruct 2507 comparison based on?

44 benchmarks have a result for both models as of October 21, 2026. o4 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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