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GPT-4 Turbo vs Qwen3 30B A3B Instruct 2507

Qwen3 30B A3B Instruct 2507 leads GPT-4 Turbo on the Artificial Analysis Intelligence Index, 7.5 to 7.0, and Qwen3 30B A3B Instruct 2507 costs 100.0x less per output token ($0.30 vs $30.00 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Replace GPT-4 Turbo Replace Qwen3 30B A3B Instruct 2507
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
0
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
34
vs boards won of 34 shared

GPT-4 Turbo 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 Turbo for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGPT-4 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
34
GPT-4 Turbo only
8
Qwen3 30B A3B Instruct 2507 only
11
Like-for-like categories
6 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 Turbo not benchmarked, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Coding, 30.4 points apart on average over 3 shared benchmarks.
Widest single gap
LiveCodeBench (Artificial Analysis run): GPT-4 Turbo 29.1% against Qwen3 30B A3B Instruct 2507 70.7%, 41.6 points apart on a 0 to 100 scale.
Output price
GPT-4 Turbo $30.00 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 100.0x apart.
Context window
GPT-4 Turbo takes 128K 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 TurboBarsQwen3 30B A3B Instruct 2507Ties
Coding03
Intelligence01
Reasoning04
Math02
Knowledge05
General019
All shared boards034
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4 TurboQwen3 30B A3B Instruct 2507Leader
AA Coding Index21.5Not measuredOnly GPT-4 Turbo measured
LiveCodeBench (Artificial Analysis run)29.1%70.7%Qwen3 30B A3B Instruct 2507
SciCodeNot measured33.0%Only Qwen3 30B A3B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured6.1%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: coding12681416Qwen3 30B A3B Instruct 2507
LMArena Text: software and IT12671417Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 37 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4 TurboQwen3 30B A3B Instruct 2507Leader
AA Intelligence Index7.07.5Qwen3 30B A3B Instruct 2507
Epoch Capabilities Index127.3Not measuredOnly GPT-4 Turbo measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4 TurboQwen3 30B A3B Instruct 2507Leader
τ²-Bench TelecomNot measured28.1%Only Qwen3 30B A3B Instruct 2507 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4 TurboQwen3 30B A3B Instruct 2507Leader
GPQA Diamond (Artificial Analysis run)Not measured70.7%Only Qwen3 30B A3B Instruct 2507 measured
Humanity's Last Exam (Artificial Analysis run)3.1%10.3%Qwen3 30B A3B Instruct 2507
GPQA Diamond (Epoch AI run)Not measured55.6%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: hard prompts12511398Qwen3 30B A3B Instruct 2507
LMArena Text: expert12231397Qwen3 30B A3B Instruct 2507
LMArena Text: hard prompts in English12661406Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 17 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4 TurboQwen3 30B A3B Instruct 2507Leader
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 AIMENot measured62.2%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: math12721394Qwen3 30B A3B Instruct 2507
LMArena Text: mathematical work12681411Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4 TurboQwen3 30B A3B Instruct 2507Leader
LegalBench (Vals AI)80.5%Not measuredOnly GPT-4 Turbo measured
MedQA (Vals AI)82.0%Not measuredOnly GPT-4 Turbo measured
MMLU Pro (Artificial Analysis run)69.4%80.5%Qwen3 30B A3B Instruct 2507
MMLU81.3%Not measuredOnly GPT-4 Turbo measured
LMArena Text: science12561393Qwen3 30B A3B Instruct 2507
LMArena Text: medicine and healthcare12391392Qwen3 30B A3B Instruct 2507
LMArena Text: legal and government12651387Qwen3 30B A3B Instruct 2507
LMArena Text: business and finance12221389Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 12 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4 TurboQwen3 30B A3B Instruct 2507Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4 TurboQwen3 30B A3B Instruct 2507Leader
IFBenchNot measured50.7%Only Qwen3 30B A3B Instruct 2507 measured
Long context reasoning (AA-LCR)Not measured61.3%Only Qwen3 30B A3B Instruct 2507 measured
DTBench61.6%67.2%Qwen3 30B A3B Instruct 2507
LMCA9.8%22.4%Qwen3 30B A3B Instruct 2507
LMArena Text12721384Qwen3 30B A3B Instruct 2507
LMArena Text: instruction following12491363Qwen3 30B A3B Instruct 2507
LMArena Text: creative writing12681317Qwen3 30B A3B Instruct 2507
LMArena Vision1090Not measuredOnly GPT-4 Turbo measured
LMArena Text: English12911391Qwen3 30B A3B Instruct 2507
LMArena Text: non-English12451372Qwen3 30B A3B Instruct 2507
LMArena Text: Chinese12421432Qwen3 30B A3B Instruct 2507
LMArena Text: German12591379Qwen3 30B A3B Instruct 2507
LMArena Text: Japanese11941337Qwen3 30B A3B Instruct 2507
LMArena Text: Korean11871330Qwen3 30B A3B Instruct 2507
LMArena Text: French12761419Qwen3 30B A3B Instruct 2507
LMArena Text: Spanish12601404Qwen3 30B A3B Instruct 2507
LMArena Text: Russian12591369Qwen3 30B A3B Instruct 2507
LMArena Text: Polish13021353Qwen3 30B A3B Instruct 2507
LMArena Text: multi-turn12671378Qwen3 30B A3B Instruct 2507
LMArena Text: longer queries12541378Qwen3 30B A3B Instruct 2507
LMArena Text: writing and language12791336Qwen3 30B A3B Instruct 2507
LMArena Text: entertainment and media12581334Qwen3 30B A3B Instruct 2507
LMArena Vision: English1097Not measuredOnly GPT-4 Turbo measured
LMArena Vision: Chinese1045Not measuredOnly GPT-4 Turbo measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
BenchmarkGPT-4 TurboQwen3 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 Turbo$0.025Fits 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 Turbo$0.590Fits 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 Turbo$2.30Exceeds 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 GPT-4 Turbo and Qwen3 30B A3B Instruct 2507
SpecificationOpenAI GPT-4 TurboQwen3 30B A3B Instruct 2507
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 9, 2024July 29, 2025
Context window128K262K
Input $/Mtok$10.00$0.09
Output $/Mtok$30.00$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 Turbo 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 Turbo for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4 Turbo or Qwen3 30B A3B Instruct 2507?

GPT-4 Turbo costs $10.00 per million input tokens and $30.00 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, GPT-4 Turbo or Qwen3 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507, with 262K tokens against 128K.

How many benchmarks is the GPT-4 Turbo vs Qwen3 30B A3B Instruct 2507 comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. GPT-4 Turbo'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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