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GPT-4 vs GPT-4 Turbo

GPT-4 Turbo leads GPT-4 on the Artificial Analysis Intelligence Index, 7.0 to 6.7, and GPT-4 Turbo costs 2.0x less per output token ($30.00 vs $60.00 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

GPT-4OpenAI
Coding
No data
Overall
No data
Output $/M
$60.00
3
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
32
vs boards won of 35 shared

GPT-4 or GPT-4 Turbo: which to pick

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

Pick GPT-4 for work measured by AA Coding Index or LMArena Text: coding, where it leads.

Shared results
35
GPT-4 only
10
GPT-4 Turbo only
7
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 not benchmarked, GPT-4 Turbo not benchmarked.
Widest category
Knowledge, 12.0 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena Text: Korean: GPT-4 1087 against GPT-4 Turbo 1187, 16.6 points apart on a 0 to 100 scale.
Output price
GPT-4 $60.00 against GPT-4 Turbo $30.00 per million output tokens, 2.0x apart.
Context window
GPT-4 takes 8K tokens, GPT-4 Turbo 128K.

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-4BarsGPT-4 TurboTies
Coding03
Intelligence02
Reasoning03
Math02
Knowledge15
General217
All shared boards332
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4 and GPT-4 Turbo
BenchmarkGPT-4GPT-4 TurboLeader
SWE-bench Verified22.4%Not measuredOnly GPT-4 measured
SWE-bench Lite39.7%Not measuredOnly GPT-4 measured
SWE-bench (full test set)12.5%Not measuredOnly GPT-4 measured
AA Coding Index13.121.5GPT-4 Turbo
LiveCodeBench (Artificial Analysis run)Not measured29.1%Only GPT-4 Turbo measured
LMArena Text: coding12091268GPT-4 Turbo
LMArena Text: software and IT11951267GPT-4 Turbo
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4 and GPT-4 Turbo
BenchmarkGPT-4GPT-4 TurboLeader
AA Intelligence Index6.77.0GPT-4 Turbo
Epoch Capabilities Index125.7127.3GPT-4 Turbo
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for GPT-4 and GPT-4 Turbo
BenchmarkGPT-4GPT-4 TurboLeader
Neither model has a result on 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for GPT-4 and GPT-4 Turbo
BenchmarkGPT-4GPT-4 TurboLeader
GPQA Diamond (Artificial Analysis run)34.9%Not measuredOnly GPT-4 measured
Humanity's Last Exam (Artificial Analysis run)Not measured3.1%Only GPT-4 Turbo measured
BIG-Bench Hard75.1%Not measuredOnly GPT-4 measured
LMArena Text: hard prompts12001251GPT-4 Turbo
LMArena Text: expert11491223GPT-4 Turbo
LMArena Text: hard prompts in English12091266GPT-4 Turbo
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4 and GPT-4 Turbo
BenchmarkGPT-4GPT-4 TurboLeader
GSM8K92.0%Not measuredOnly GPT-4 measured
LMArena Text: math12301272GPT-4 Turbo
LMArena Text: mathematical work12281268GPT-4 Turbo
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
Knowledge benchmarks for GPT-4 and GPT-4 Turbo
BenchmarkGPT-4GPT-4 TurboLeader
LegalBench (Vals AI)Not measured80.5%Only GPT-4 Turbo measured
MedQA (Vals AI)Not measured82.0%Only GPT-4 Turbo measured
MMLU Pro (Artificial Analysis run)56.2%69.4%GPT-4 Turbo
MMLU86.4%81.3%GPT-4
AI2 Reasoning Challenge96.3%Not measuredOnly GPT-4 measured
LMArena Text: science11771256GPT-4 Turbo
LMArena Text: medicine and healthcare11451239GPT-4 Turbo
LMArena Text: legal and government11911265GPT-4 Turbo
LMArena Text: business and finance11451222GPT-4 Turbo
Neither model has a result on the other 9 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4 and GPT-4 Turbo
BenchmarkGPT-4GPT-4 TurboLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index217
General benchmarks for GPT-4 and GPT-4 Turbo
BenchmarkGPT-4GPT-4 TurboLeader
IFBench33.2%Not measuredOnly GPT-4 measured
DTBench62.7%61.6%GPT-4
LMCA17.1%9.8%GPT-4
HellaSwag95.3%Not measuredOnly GPT-4 measured
WinoGrande87.5%Not measuredOnly GPT-4 measured
LMArena Text12061272GPT-4 Turbo
LMArena Text: instruction following12011249GPT-4 Turbo
LMArena Text: creative writing11911268GPT-4 Turbo
LMArena VisionNot measured1090Only GPT-4 Turbo measured
LMArena Text: English12201291GPT-4 Turbo
LMArena Text: non-English11941245GPT-4 Turbo
LMArena Text: Chinese11841242GPT-4 Turbo
LMArena Text: German11981259GPT-4 Turbo
LMArena Text: Japanese11371194GPT-4 Turbo
LMArena Text: Korean10871187GPT-4 Turbo
LMArena Text: French12201276GPT-4 Turbo
LMArena Text: Spanish11971260GPT-4 Turbo
LMArena Text: Russian11951259GPT-4 Turbo
LMArena Text: Polish12651302GPT-4 Turbo
LMArena Text: multi-turn12061267GPT-4 Turbo
LMArena Text: longer queries11901254GPT-4 Turbo
LMArena Text: writing and language12191279GPT-4 Turbo
LMArena Text: entertainment and media11841258GPT-4 Turbo
LMArena Vision: EnglishNot measured1097Only GPT-4 Turbo measured
LMArena Vision: ChineseNot measured1045Only GPT-4 Turbo measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4 and GPT-4 Turbo
BenchmarkGPT-4GPT-4 TurboLeader
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$0.060Fits in one request
GPT-4 Turbo$0.025Fits in one request

GPT-4 Turbo costs less

Repository review

50K input + 3K output tokens

GPT-4$1.68Exceeds the context window
GPT-4 Turbo$0.590Fits in one request

GPT-4 Turbo costs less

Agent loop

200K input + 10K output tokens

GPT-4$6.60Exceeds the context window
GPT-4 Turbo$2.30Exceeds the context window

GPT-4 Turbo 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 and GPT-4 Turbo
SpecificationOpenAI GPT-4OpenAI GPT-4 Turbo
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 28, 2023April 9, 2024
Context window8K128K
Input $/Mtok$30.00$10.00
Output $/Mtok$60.00$30.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 better than GPT-4 Turbo for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4 for work measured by AA Coding Index or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4 or GPT-4 Turbo?

GPT-4 costs $30.00 per million input tokens and $60.00 per million output tokens; GPT-4 Turbo costs $10.00 and $30.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4 or GPT-4 Turbo?

GPT-4 Turbo, with 128K tokens against 8K.

How many benchmarks is the GPT-4 vs GPT-4 Turbo comparison based on?

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

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