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GPT-4 Turbo vs Step 3.5 Flash

Step 3.5 Flash leads GPT-4 Turbo on the Artificial Analysis Intelligence Index, 17.0 to 7.0, and Step 3.5 Flash costs 100.0x less per output token ($0.30 vs $30.00 per million). Updated October 21, 2026; 30 benchmarks have a result for both.

Replace GPT-4 Turbo Replace Step 3.5 Flash
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
0
Step 3.5 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$0.30
30
vs boards won of 30 shared

GPT-4 Turbo or Step 3.5 Flash: 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 LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-4 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BStep 3.5 FlashStepFunNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
30
GPT-4 Turbo only
12
Step 3.5 Flash only
5
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, Step 3.5 Flash not benchmarked.
Widest category
Coding, 27.9 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GPT-4 Turbo 1242 against Step 3.5 Flash 1446, 34.0 points apart on a 0 to 100 scale.
Output price
GPT-4 Turbo $30.00 against Step 3.5 Flash $0.30 per million output tokens, 100.0x apart.
Context window
GPT-4 Turbo takes 128K tokens, Step 3.5 Flash 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 TurboBarsStep 3.5 FlashTies
Coding02
Intelligence01
Reasoning04
Math02
Knowledge04
General017
All shared boards030
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4 Turbo and Step 3.5 Flash
BenchmarkGPT-4 TurboStep 3.5 FlashLeader
AA Coding Index21.5Not measuredOnly GPT-4 Turbo measured
LiveCodeBench (Artificial Analysis run)29.1%Not measuredOnly GPT-4 Turbo measured
Terminal-Bench Hard (Artificial Analysis run)Not measured32.6%Only Step 3.5 Flash measured
LMArena Text: coding12681436Step 3.5 Flash
LMArena Text: software and IT12671434Step 3.5 Flash
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4 Turbo and Step 3.5 Flash
BenchmarkGPT-4 TurboStep 3.5 FlashLeader
AA Intelligence Index7.017.0Step 3.5 Flash
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 Step 3.5 Flash
BenchmarkGPT-4 TurboStep 3.5 FlashLeader
τ²-Bench TelecomNot measured94.4%Only Step 3.5 Flash 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 Step 3.5 Flash
BenchmarkGPT-4 TurboStep 3.5 FlashLeader
GPQA Diamond (Artificial Analysis run)Not measured83.1%Only Step 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)3.1%24.5%Step 3.5 Flash
LMArena Text: hard prompts12511411Step 3.5 Flash
LMArena Text: expert12231421Step 3.5 Flash
LMArena Text: hard prompts in English12661421Step 3.5 Flash
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 Step 3.5 Flash
BenchmarkGPT-4 TurboStep 3.5 FlashLeader
LMArena Text: math12721408Step 3.5 Flash
LMArena Text: mathematical work12681421Step 3.5 Flash
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4 Turbo and Step 3.5 Flash
BenchmarkGPT-4 TurboStep 3.5 FlashLeader
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%Not measuredOnly GPT-4 Turbo measured
MMLU81.3%Not measuredOnly GPT-4 Turbo measured
LMArena Text: science12561415Step 3.5 Flash
LMArena Text: medicine and healthcare12391408Step 3.5 Flash
LMArena Text: legal and government12651408Step 3.5 Flash
LMArena Text: business and finance12221394Step 3.5 Flash
Neither model has a result on the other 10 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 Step 3.5 Flash
BenchmarkGPT-4 TurboStep 3.5 FlashLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for GPT-4 Turbo and Step 3.5 Flash
BenchmarkGPT-4 TurboStep 3.5 FlashLeader
IFBenchNot measured66.5%Only Step 3.5 Flash measured
Long context reasoning (AA-LCR)Not measured63.0%Only Step 3.5 Flash measured
DTBench61.6%Not measuredOnly GPT-4 Turbo measured
LMCA9.8%Not measuredOnly GPT-4 Turbo measured
LMArena Text12721403Step 3.5 Flash
LMArena Text: instruction following12491385Step 3.5 Flash
LMArena Text: creative writing12681357Step 3.5 Flash
LMArena Vision1090Not measuredOnly GPT-4 Turbo measured
LMArena Text: English12911417Step 3.5 Flash
LMArena Text: non-English12451385Step 3.5 Flash
LMArena Text: Chinese12421446Step 3.5 Flash
LMArena Text: German12591405Step 3.5 Flash
LMArena Text: Japanese11941353Step 3.5 Flash
LMArena Text: Korean11871351Step 3.5 Flash
LMArena Text: French12761421Step 3.5 Flash
LMArena Text: Spanish12601419Step 3.5 Flash
LMArena Text: Russian12591385Step 3.5 Flash
LMArena Text: Polish13021389Step 3.5 Flash
LMArena Text: multi-turn12671404Step 3.5 Flash
LMArena Text: longer queries12541402Step 3.5 Flash
LMArena Text: writing and language12791372Step 3.5 Flash
LMArena Text: entertainment and media12581360Step 3.5 Flash
LMArena Vision: English1097Not measuredOnly GPT-4 Turbo measured
LMArena Vision: Chinese1045Not measuredOnly GPT-4 Turbo measured
Neither model has a result on the other 22 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 Step 3.5 Flash
BenchmarkGPT-4 TurboStep 3.5 FlashLeader
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
Step 3.5 Flash$0.0003Fits in one request

Step 3.5 Flash costs less

Repository review

50K input + 3K output tokens

GPT-4 Turbo$0.590Fits in one request
Step 3.5 Flash$0.0059Fits in one request

Step 3.5 Flash costs less

Agent loop

200K input + 10K output tokens

GPT-4 Turbo$2.30Exceeds the context window
Step 3.5 Flash$0.023Fits in one request

Step 3.5 Flash 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 Step 3.5 Flash
SpecificationOpenAI GPT-4 TurboStepFun Step 3.5 Flash
MakerOpenAIStepFun
WeightsNo public weights listedOpen weights
ReleasedApril 9, 2024January 29, 2026
Context window128K262K
Input $/Mtok$10.00$0.10
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 Step 3.5 Flash 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 LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-4 Turbo or Step 3.5 Flash?

GPT-4 Turbo costs $10.00 per million input tokens and $30.00 per million output tokens; Step 3.5 Flash costs $0.10 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4 Turbo or Step 3.5 Flash?

Step 3.5 Flash, with 262K tokens against 128K.

How many benchmarks is the GPT-4 Turbo vs Step 3.5 Flash comparison based on?

30 benchmarks have a result for both models as of October 21, 2026. GPT-4 Turbo's coding index rests on 0 independent benchmarks and Step 3.5 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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