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GPT-4 Turbo vs Qwen3.6 Plus

Qwen3.6 Plus leads GPT-4 Turbo on the Artificial Analysis Intelligence Index, 27.0 to 7.0, and Qwen3.6 Plus costs 15.4x less per output token ($1.95 vs $30.00 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace GPT-4 Turbo Replace Qwen3.6 Plus
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
0
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
35
vs boards won of 35 shared

GPT-4 Turbo or Qwen3.6 Plus: which to pick

Only Qwen3.6 Plus has a coding score, 44.1 on the Vibe Coding Index; GPT-4 Turbo has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGPT-4 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.6 PlusQwen44.1/1003 independent benchmarks$1.19 per solved task
Shared results
35
GPT-4 Turbo only
7
Qwen3.6 Plus only
48
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, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Coding, 32.8 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GPT-4 Turbo 1242 against Qwen3.6 Plus 1477, 39.0 points apart on a 0 to 100 scale.
Output price
GPT-4 Turbo $30.00 against Qwen3.6 Plus $1.95 per million output tokens, 15.4x apart.
Context window
GPT-4 Turbo takes 128K tokens, Qwen3.6 Plus 1M.

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 TurboBarsQwen3.6 PlusTies
Coding03
Intelligence02
Reasoning04
Math02
Knowledge05
General019
All shared boards035
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4 Turbo and Qwen3.6 Plus
BenchmarkGPT-4 TurboQwen3.6 PlusLeader
LMArena WebDevNot measured1461Only Qwen3.6 Plus measured
AA Coding Index21.554.5Qwen3.6 Plus
LiveCodeBench (Vals AI)Not measured86.0%Only Qwen3.6 Plus measured
SWE-bench Verified (Vals AI)Not measured73.4%Only Qwen3.6 Plus measured
Vibe Code Bench (Vals AI)Not measured25.6%Only Qwen3.6 Plus measured
Code migration (Vals AI)Not measured11.1%Only Qwen3.6 Plus measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.6 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured53.2%Only Qwen3.6 Plus measured
LiveCodeBench (Artificial Analysis run)29.1%Not measuredOnly GPT-4 Turbo measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Qwen3.6 Plus measured
ALE-BenchNot measured670.1Only Qwen3.6 Plus measured
LMArena Text: coding12681467Qwen3.6 Plus
LMArena Text: software and IT12671462Qwen3.6 Plus
LMArena WebDev: ReactNot measured1454Only Qwen3.6 Plus measured
LMArena WebDev: HTMLNot measured1463Only Qwen3.6 Plus measured
LMArena WebDev: from an imageNot measured1472Only Qwen3.6 Plus measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4 Turbo and Qwen3.6 Plus
BenchmarkGPT-4 TurboQwen3.6 PlusLeader
AA Intelligence Index7.027.0Qwen3.6 Plus
Epoch Capabilities Index127.3147.3Qwen3.6 Plus
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for GPT-4 Turbo and Qwen3.6 Plus
BenchmarkGPT-4 TurboQwen3.6 PlusLeader
Finance Agent (Vals AI)Not measured40.9%Only Qwen3.6 Plus measured
Tax Agent Bench (Vals AI)Not measured7.7%Only Qwen3.6 Plus measured
Legal Research Bench (Vals AI)Not measured14.9%Only Qwen3.6 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured32.9%Only Qwen3.6 Plus measured
τ²-Bench TelecomNot measured97.7%Only Qwen3.6 Plus measured
Vending-Bench 2Not measured$5,115Only Qwen3.6 Plus measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-4 Turbo and Qwen3.6 Plus
BenchmarkGPT-4 TurboQwen3.6 PlusLeader
GPQA DiamondNot measured87.4%Only Qwen3.6 Plus measured
MMMU Pro (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
GPQA Diamond (Artificial Analysis run)Not measured88.2%Only Qwen3.6 Plus measured
Humanity's Last Exam (Artificial Analysis run)3.1%27.8%Qwen3.6 Plus
GPQA Diamond (Epoch AI run)Not measured88.4%Only Qwen3.6 Plus measured
Chess puzzlesNot measured14.0%Only Qwen3.6 Plus measured
Mystery game puzzlesNot measured12.0%Only Qwen3.6 Plus measured
LMArena Text: hard prompts12511448Qwen3.6 Plus
LMArena Text: expert12231454Qwen3.6 Plus
LMArena Text: hard prompts in English12661455Qwen3.6 Plus
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4 Turbo and Qwen3.6 Plus
BenchmarkGPT-4 TurboQwen3.6 PlusLeader
AIMENot measured94.6%Only Qwen3.6 Plus measured
OTIS Mock AIMENot measured93.3%Only Qwen3.6 Plus measured
FrontierMath, tiers 1 to 3Not measured38.2%Only Qwen3.6 Plus measured
LMArena Text: math12721449Qwen3.6 Plus
LMArena Text: mathematical work12681448Qwen3.6 Plus
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4 Turbo and Qwen3.6 Plus
BenchmarkGPT-4 TurboQwen3.6 PlusLeader
MMLU ProNot measured87.7%Only Qwen3.6 Plus measured
LegalBench (Vals AI)80.5%84.2%Qwen3.6 Plus
CaseLaw (Vals AI)Not measured51.5%Only Qwen3.6 Plus measured
CorpFin (Vals AI)Not measured61.9%Only Qwen3.6 Plus measured
TaxEval (Vals AI)Not measured74.7%Only Qwen3.6 Plus measured
MortgageTax (Vals AI)Not measured68.0%Only Qwen3.6 Plus measured
MedQA (Vals AI)82.0%Not measuredOnly GPT-4 Turbo measured
MedCode (Vals AI)Not measured36.9%Only Qwen3.6 Plus measured
MMLU Pro (Artificial Analysis run)69.4%Not measuredOnly GPT-4 Turbo measured
SimpleQA VerifiedNot measured44.1%Only Qwen3.6 Plus measured
MMLU81.3%Not measuredOnly GPT-4 Turbo measured
LMArena Text: science12561439Qwen3.6 Plus
LMArena Text: medicine and healthcare12391442Qwen3.6 Plus
LMArena Text: legal and government12651437Qwen3.6 Plus
LMArena Text: business and finance12221430Qwen3.6 Plus
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-4 Turbo and Qwen3.6 Plus
BenchmarkGPT-4 TurboQwen3.6 PlusLeader
Design Arena: websitesNot measured1243Only Qwen3.6 Plus measured
Design Arena: UI componentsNot measured1230Only Qwen3.6 Plus measured
Design Arena: game devNot measured1211Only Qwen3.6 Plus measured
Design Arena: data vizNot measured1228Only Qwen3.6 Plus measured
Design Arena: 3DNot measured1202Only Qwen3.6 Plus measured
Design Arena: all code categoriesNot measured1236Only Qwen3.6 Plus measured
Design Arena: SVGNot measured1161Only Qwen3.6 Plus measured
Design Arena: ASCII artNot measured1113Only Qwen3.6 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for GPT-4 Turbo and Qwen3.6 Plus
BenchmarkGPT-4 TurboQwen3.6 PlusLeader
SAGE (Vals AI)Not measured44.9%Only Qwen3.6 Plus measured
MedScribe (Vals AI)Not measured77.0%Only Qwen3.6 Plus measured
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBenchNot measured75.2%Only Qwen3.6 Plus measured
Long context reasoning (AA-LCR)Not measured78.3%Only Qwen3.6 Plus measured
DTBench61.6%81.9%Qwen3.6 Plus
LMCA9.8%33.1%Qwen3.6 Plus
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
LMArena Text12721436Qwen3.6 Plus
LMArena Text: instruction following12491424Qwen3.6 Plus
LMArena Text: creative writing12681404Qwen3.6 Plus
LMArena Vision1090Not measuredOnly GPT-4 Turbo measured
LMArena Text: English12911445Qwen3.6 Plus
LMArena Text: non-English12451424Qwen3.6 Plus
LMArena Text: Chinese12421477Qwen3.6 Plus
LMArena Text: German12591451Qwen3.6 Plus
LMArena Text: Japanese11941390Qwen3.6 Plus
LMArena Text: Korean11871379Qwen3.6 Plus
LMArena Text: French12761455Qwen3.6 Plus
LMArena Text: Spanish12601432Qwen3.6 Plus
LMArena Text: Russian12591434Qwen3.6 Plus
LMArena Text: Polish13021433Qwen3.6 Plus
LMArena Text: multi-turn12671438Qwen3.6 Plus
LMArena Text: longer queries12541439Qwen3.6 Plus
LMArena Text: writing and language12791418Qwen3.6 Plus
LMArena Text: entertainment and media12581402Qwen3.6 Plus
LMArena Vision: English1097Not measuredOnly GPT-4 Turbo measured
LMArena Vision: Chinese1045Not measuredOnly GPT-4 Turbo measured
Neither model has a result on the other 18 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 Qwen3.6 Plus
BenchmarkGPT-4 TurboQwen3.6 PlusLeader
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
Qwen3.6 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

GPT-4 Turbo$0.590Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

GPT-4 Turbo$2.30Exceeds the context window
Qwen3.6 Plus$0.085Fits in one request

Qwen3.6 Plus 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 Qwen3.6 Plus
SpecificationOpenAI GPT-4 TurboQwen3.6 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 9, 2024April 2, 2026
Context window128K1M
Input $/Mtok$10.00$0.325
Output $/Mtok$30.00$1.95
Coding indexNot benchmarked44.1
Independent measurements behind it03
Cost per solved taskNot computable$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 Turbo better than Qwen3.6 Plus for coding?

Only Qwen3.6 Plus has a coding score, 44.1 on the Vibe Coding Index; GPT-4 Turbo has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-4 Turbo or Qwen3.6 Plus?

GPT-4 Turbo costs $10.00 per million input tokens and $30.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Cost per solved task is known for Qwen3.6 Plus only.

Which has the bigger context window, GPT-4 Turbo or Qwen3.6 Plus?

Qwen3.6 Plus, with 1M tokens against 128K.

How many benchmarks is the GPT-4 Turbo vs Qwen3.6 Plus comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. GPT-4 Turbo's coding index rests on 0 independent benchmarks and Qwen3.6 Plus's on 3. Where only one model has a result, the page says so instead of naming a winner.

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