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GPT-4 Turbo vs GPT-4o (2024-08-06)

GPT-4o (2024-08-06) leads GPT-4 Turbo on the Artificial Analysis Intelligence Index, 7.7 to 7.0, and GPT-4o (2024-08-06) costs 3.0x less per output token ($10.00 vs $30.00 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Replace GPT-4 Turbo Replace GPT-4o (2024-08-06)
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
7
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
29
vs boards won of 36 shared

GPT-4 Turbo or GPT-4o (2024-08-06): 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 BGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
36
GPT-4 Turbo only
6
GPT-4o (2024-08-06) only
22
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, GPT-4o (2024-08-06) not benchmarked.
Widest category
General, 2.8 points apart on average over 19 shared benchmarks.
Widest single gap
LMArena Text: Japanese: GPT-4 Turbo 1194 against GPT-4o (2024-08-06) 1234, 6.7 points apart on a 0 to 100 scale.
Output price
GPT-4 Turbo $30.00 against GPT-4o (2024-08-06) $10.00 per million output tokens, 3.0x apart.
Context window
Both take 128K tokens.

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 TurboBarsGPT-4o (2024-08-06)Ties
Coding03
Intelligence01
Reasoning13
Math02
Knowledge16
General514
All shared boards729
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4 Turbo and GPT-4o (2024-08-06)
BenchmarkGPT-4 TurboGPT-4o (2024-08-06)Leader
Aider polyglotNot measured23.1%Only GPT-4o (2024-08-06) measured
SWE-bench LiteNot measured21.7%Only GPT-4o (2024-08-06) measured
AA Coding Index21.5Not measuredOnly GPT-4 Turbo measured
LiveCodeBench (Artificial Analysis run)29.1%31.7%GPT-4o (2024-08-06)
Terminal-Bench Hard (Artificial Analysis run)Not measured8.3%Only GPT-4o (2024-08-06) measured
LMArena Text: coding12681283GPT-4o (2024-08-06)
LMArena Text: software and IT12671278GPT-4o (2024-08-06)
Neither model has a result on the other 36 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4 Turbo and GPT-4o (2024-08-06)
BenchmarkGPT-4 TurboGPT-4o (2024-08-06)Leader
AA Intelligence Index7.07.7GPT-4o (2024-08-06)
Epoch Capabilities Index127.3Not measuredOnly GPT-4 Turbo measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4 Turbo and GPT-4o (2024-08-06)
BenchmarkGPT-4 TurboGPT-4o (2024-08-06)Leader
τ²-Bench TelecomNot measured28.9%Only GPT-4o (2024-08-06) measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index13
Reasoning benchmarks for GPT-4 Turbo and GPT-4o (2024-08-06)
BenchmarkGPT-4 TurboGPT-4o (2024-08-06)Leader
MMMU Pro (Vals AI)Not measured64.0%Only GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)Not measured52.1%Only GPT-4o (2024-08-06) measured
Humanity's Last Exam (Artificial Analysis run)3.1%2.3%GPT-4 Turbo
GPQA Diamond (Epoch AI run)Not measured49.2%Only GPT-4o (2024-08-06) measured
SimpleBenchNot measured17.8%Only GPT-4o (2024-08-06) measured
Chess puzzlesNot measured6.0%Only GPT-4o (2024-08-06) measured
LMArena Text: hard prompts12511264GPT-4o (2024-08-06)
LMArena Text: expert12231241GPT-4o (2024-08-06)
LMArena Text: hard prompts in English12661277GPT-4o (2024-08-06)
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4 Turbo and GPT-4o (2024-08-06)
BenchmarkGPT-4 TurboGPT-4o (2024-08-06)Leader
AIMENot measured14.0%Only GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)Not measured75.2%Only GPT-4o (2024-08-06) measured
MGSM (Vals AI)Not measured90.7%Only GPT-4o (2024-08-06) measured
OTIS Mock AIMENot measured6.4%Only GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 3Not measured0.4%Only GPT-4o (2024-08-06) measured
MATH level 5Not measured53.3%Only GPT-4o (2024-08-06) measured
LMArena Text: math12721285GPT-4o (2024-08-06)
LMArena Text: mathematical work12681283GPT-4o (2024-08-06)
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index16
Knowledge benchmarks for GPT-4 Turbo and GPT-4o (2024-08-06)
BenchmarkGPT-4 TurboGPT-4o (2024-08-06)Leader
MMLU ProNot measured74.1%Only GPT-4o (2024-08-06) measured
LegalBench (Vals AI)80.5%80.1%GPT-4 Turbo
CorpFin (Vals AI)Not measured39.4%Only GPT-4o (2024-08-06) measured
TaxEval (Vals AI)Not measured71.1%Only GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)Not measured61.0%Only GPT-4o (2024-08-06) measured
MedQA (Vals AI)82.0%88.2%GPT-4o (2024-08-06)
MMLU Pro (Artificial Analysis run)69.4%Not measuredOnly GPT-4 Turbo measured
SimpleQA VerifiedNot measured26.0%Only GPT-4o (2024-08-06) measured
MMLU81.3%84.3%GPT-4o (2024-08-06)
LMArena Text: science12561274GPT-4o (2024-08-06)
LMArena Text: medicine and healthcare12391252GPT-4o (2024-08-06)
LMArena Text: legal and government12651275GPT-4o (2024-08-06)
LMArena Text: business and finance12221232GPT-4o (2024-08-06)
Neither model has a result on the other 7 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 GPT-4o (2024-08-06)
BenchmarkGPT-4 TurboGPT-4o (2024-08-06)Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index514
General benchmarks for GPT-4 Turbo and GPT-4o (2024-08-06)
BenchmarkGPT-4 TurboGPT-4o (2024-08-06)Leader
IFBenchNot measured36.0%Only GPT-4o (2024-08-06) measured
Long context reasoning (AA-LCR)Not measured41.0%Only GPT-4o (2024-08-06) measured
DTBench61.6%Not measuredOnly GPT-4 Turbo measured
LMCA9.8%Not measuredOnly GPT-4 Turbo measured
LMArena Text12721283GPT-4o (2024-08-06)
LMArena Text: instruction following12491267GPT-4o (2024-08-06)
LMArena Text: creative writing12681274GPT-4o (2024-08-06)
LMArena Vision10901065GPT-4 Turbo
LMArena Text: English12911297GPT-4o (2024-08-06)
LMArena Text: non-English12451262GPT-4o (2024-08-06)
LMArena Text: Chinese12421254GPT-4o (2024-08-06)
LMArena Text: German12591257GPT-4 Turbo
LMArena Text: Japanese11941234GPT-4o (2024-08-06)
LMArena Text: Korean11871218GPT-4o (2024-08-06)
LMArena Text: French12761263GPT-4 Turbo
LMArena Text: Spanish12601269GPT-4o (2024-08-06)
LMArena Text: Russian12591272GPT-4o (2024-08-06)
LMArena Text: Polish1302Not measuredOnly GPT-4 Turbo measured
LMArena Text: multi-turn12671279GPT-4o (2024-08-06)
LMArena Text: longer queries12541283GPT-4o (2024-08-06)
LMArena Text: writing and language12791290GPT-4o (2024-08-06)
LMArena Text: entertainment and media12581267GPT-4o (2024-08-06)
LMArena Vision: English10971072GPT-4 Turbo
LMArena Vision: Chinese10451009GPT-4 Turbo
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 GPT-4o (2024-08-06)
BenchmarkGPT-4 TurboGPT-4o (2024-08-06)Leader
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
GPT-4o (2024-08-06)$0.0075Fits in one request

GPT-4o (2024-08-06) costs less

Repository review

50K input + 3K output tokens

GPT-4 Turbo$0.590Fits in one request
GPT-4o (2024-08-06)$0.155Fits in one request

GPT-4o (2024-08-06) costs less

Agent loop

200K input + 10K output tokens

GPT-4 Turbo$2.30Exceeds the context window
GPT-4o (2024-08-06)$0.600Exceeds the context window

GPT-4o (2024-08-06) 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 GPT-4o (2024-08-06)
SpecificationOpenAI GPT-4 TurboOpenAI GPT-4o (2024-08-06)
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 9, 2024August 6, 2024
Context window128K128K
Input $/Mtok$10.00$2.50
Output $/Mtok$30.00$10.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 Turbo better than GPT-4o (2024-08-06) 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 GPT-4o (2024-08-06)?

GPT-4 Turbo costs $10.00 per million input tokens and $30.00 per million output tokens; GPT-4o (2024-08-06) costs $2.50 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4 Turbo or GPT-4o (2024-08-06)?

Neither: both take 128K tokens.

How many benchmarks is the GPT-4 Turbo vs GPT-4o (2024-08-06) comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. GPT-4 Turbo's coding index rests on 0 independent benchmarks and GPT-4o (2024-08-06)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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