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GPT-5 Mini vs Qwen3 30B A3B Instruct 2507

GPT-5 Mini leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 20.6 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 6.7x less per output token ($0.30 vs $2.00 per million). Updated October 22, 2026; 45 benchmarks have a result for both.

Replace GPT-5 Mini Replace Qwen3 30B A3B Instruct 2507
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
22
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
23
vs boards won of 45 shared

GPT-5 Mini or Qwen3 30B A3B Instruct 2507: which to pick

Only GPT-5 Mini has a coding score, 34.2 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 6.7x cheaper ($0.30 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved taskModel BQwen3 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
45
GPT-5 Mini only
56
Qwen3 30B A3B Instruct 2507 only
0
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 Mini 34.2 from 2 benchmarks, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Agentic work, 28.5 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: GPT-5 Mini 71.1% against Qwen3 30B A3B Instruct 2507 28.1%, 43.0 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 6.7x apart.
Context window
GPT-5 Mini 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 MiniBarsQwen3 30B A3B Instruct 2507Ties
Coding32
Intelligence10
Agentic work20
Reasoning33
Math32
Knowledge14
General912
All shared boards2223
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for GPT-5 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5 MiniQwen3 30B A3B Instruct 2507Leader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LiveCodeBench (Vals AI)86.6%Not measuredOnly GPT-5 Mini measured
SWE-bench Verified (Vals AI)60.8%Not measuredOnly GPT-5 Mini measured
Vibe Code Bench (Vals AI)14.2%Not measuredOnly GPT-5 Mini measured
LiveCodeBench (Artificial Analysis run)83.8%70.7%GPT-5 Mini
SciCode39.0%33.0%GPT-5 Mini
Terminal-Bench Hard (Artificial Analysis run)33.3%6.1%GPT-5 Mini
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
WeirdML52.7%Not measuredOnly GPT-5 Mini measured
LMArena Text: coding14061416Qwen3 30B A3B Instruct 2507
LMArena Text: software and IT13941417Qwen3 30B A3B Instruct 2507
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 GPT-5 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5 MiniQwen3 30B A3B Instruct 2507Leader
AA Intelligence Index20.67.5GPT-5 Mini
Epoch Capabilities Index145.3Not measuredOnly GPT-5 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for GPT-5 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5 MiniQwen3 30B A3B Instruct 2507Leader
τ²-Bench Telecom71.1%28.1%GPT-5 Mini
Vending-Bench 2-$31Not measuredOnly GPT-5 Mini measured
Berkeley Function Calling Leaderboard (BFCL)55.5%41.4%GPT-5 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 GPT-5 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5 MiniQwen3 30B A3B Instruct 2507Leader
GPQA Diamond80.3%Not measuredOnly GPT-5 Mini measured
MMMU Pro (Vals AI)78.9%Not measuredOnly GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)82.8%70.7%GPT-5 Mini
Humanity's Last Exam (Artificial Analysis run)21.5%10.3%GPT-5 Mini
GPQA Diamond (Epoch AI run)75.0%55.6%GPT-5 Mini
ARC-AGI54.3%Not measuredOnly GPT-5 Mini measured
ARC-AGI-24.4%Not measuredOnly GPT-5 Mini measured
Chess puzzles24.0%Not measuredOnly GPT-5 Mini measured
Mystery game puzzles10.0%Not measuredOnly GPT-5 Mini measured
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts13801398Qwen3 30B A3B Instruct 2507
LMArena Text: expert13791397Qwen3 30B A3B Instruct 2507
LMArena Text: hard prompts in English13831406Qwen3 30B A3B Instruct 2507
LMArena Vision: diagrams1202Not measuredOnly GPT-5 Mini measured
LMArena Vision: homework1210Not measuredOnly GPT-5 Mini measured
Kagi LLM Benchmark70.3%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for GPT-5 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5 MiniQwen3 30B A3B Instruct 2507Leader
AIME91.5%Not measuredOnly GPT-5 Mini measured
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.766.3GPT-5 Mini
AIME 2025 (Artificial Analysis run)90.7%66.3%GPT-5 Mini
OTIS Mock AIME86.7%62.2%GPT-5 Mini
FrontierMath, tiers 1 to 346.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5 Mini measured
ProofBench9.0%Not measuredOnly GPT-5 Mini measured
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781394Qwen3 30B A3B Instruct 2507
LMArena Text: mathematical work13801411Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for GPT-5 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5 MiniQwen3 30B A3B Instruct 2507Leader
MMLU Pro82.2%Not measuredOnly GPT-5 Mini measured
LegalBench (Vals AI)81.8%Not measuredOnly GPT-5 Mini measured
CaseLaw (Vals AI)68.5%Not measuredOnly GPT-5 Mini measured
CorpFin (Vals AI)60.2%Not measuredOnly GPT-5 Mini measured
TaxEval (Vals AI)75.2%Not measuredOnly GPT-5 Mini measured
MortgageTax (Vals AI)66.9%Not measuredOnly GPT-5 Mini measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)83.7%80.5%GPT-5 Mini
SimpleQA Verified21.6%Not measuredOnly GPT-5 Mini measured
LMArena Text: science13711393Qwen3 30B A3B Instruct 2507
LMArena Text: medicine and healthcare13801392Qwen3 30B A3B Instruct 2507
LMArena Text: legal and government13751387Qwen3 30B A3B Instruct 2507
LMArena Text: business and finance13581389Qwen3 30B A3B Instruct 2507
FACTS Benchmark Suite38.6%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5 MiniQwen3 30B A3B Instruct 2507Leader
Design Arena: websites1125Not measuredOnly GPT-5 Mini measured
Design Arena: UI components1103Not measuredOnly GPT-5 Mini measured
Design Arena: game dev1129Not measuredOnly GPT-5 Mini measured
Design Arena: data viz1131Not measuredOnly GPT-5 Mini measured
Design Arena: 3D1036Not measuredOnly GPT-5 Mini measured
Design Arena: all code categories1114Not measuredOnly GPT-5 Mini measured
Design Arena: SVG1090Not measuredOnly GPT-5 Mini measured
Design Arena: ASCII art1125Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index912
General benchmarks for GPT-5 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5 MiniQwen3 30B A3B Instruct 2507Leader
SAGE (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MedScribe (Vals AI)80.6%Not measuredOnly GPT-5 Mini measured
IFBench75.4%50.7%GPT-5 Mini
Long context reasoning (AA-LCR)72.3%61.3%GPT-5 Mini
DTBench80.5%67.2%GPT-5 Mini
LMCA34.2%22.4%GPT-5 Mini
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
LMArena Text13731384Qwen3 30B A3B Instruct 2507
LMArena Text: instruction following13571363Qwen3 30B A3B Instruct 2507
LMArena Text: creative writing13251317GPT-5 Mini
LMArena Vision1202Not measuredOnly GPT-5 Mini measured
LMArena Text: English13791391Qwen3 30B A3B Instruct 2507
LMArena Text: non-English13631372Qwen3 30B A3B Instruct 2507
LMArena Text: Chinese13861432Qwen3 30B A3B Instruct 2507
LMArena Text: German13661379Qwen3 30B A3B Instruct 2507
LMArena Text: Japanese13411337GPT-5 Mini
LMArena Text: Korean13081330Qwen3 30B A3B Instruct 2507
LMArena Text: French13861419Qwen3 30B A3B Instruct 2507
LMArena Text: Spanish13541404Qwen3 30B A3B Instruct 2507
LMArena Text: Russian13621369Qwen3 30B A3B Instruct 2507
LMArena Text: Polish13781353GPT-5 Mini
LMArena Text: multi-turn13631378Qwen3 30B A3B Instruct 2507
LMArena Text: longer queries13551378Qwen3 30B A3B Instruct 2507
LMArena Text: writing and language13441336GPT-5 Mini
LMArena Text: entertainment and media13401334GPT-5 Mini
LMArena Vision: English1216Not measuredOnly GPT-5 Mini measured
LMArena Vision: Chinese1214Not measuredOnly GPT-5 Mini measured
LMArena Vision: reading text1199Not measuredOnly GPT-5 Mini measured
LMArena Vision: humor1205Not measuredOnly GPT-5 Mini measured
LMArena Vision: captioning1217Not measuredOnly GPT-5 Mini measured
LMArena Vision: recognizing things1226Not measuredOnly GPT-5 Mini measured
LMArena Vision: creative writing1181Not measuredOnly GPT-5 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 GPT-5 Mini and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-5 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-5 Mini$0.0013Fits 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 Mini$0.018Fits 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 Mini$0.070Fits 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 Mini and Qwen3 30B A3B Instruct 2507
SpecificationOpenAI GPT-5 MiniQwen3 30B A3B Instruct 2507
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025July 29, 2025
Context window400K262K
Input $/Mtok$0.25$0.09
Output $/Mtok$2.00$0.30
Coding index34.2Not benchmarked
Independent measurements behind it20
Cost per solved task$0.08Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Mini better than Qwen3 30B A3B Instruct 2507 for coding?

Only GPT-5 Mini has a coding score, 34.2 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 6.7x cheaper ($0.30 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5 Mini or Qwen3 30B A3B Instruct 2507?

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for GPT-5 Mini only.

Which has the bigger context window, GPT-5 Mini or Qwen3 30B A3B Instruct 2507?

GPT-5 Mini, with 400K tokens against 262K.

How many benchmarks is the GPT-5 Mini vs Qwen3 30B A3B Instruct 2507 comparison based on?

45 benchmarks have a result for both models as of October 22, 2026. GPT-5 Mini'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.

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