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o4 Mini vs Step 3.5 Flash

Updated October 21, 2026. 35 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

o4 MiniOpenAI
Coding
No data
Overall
16.7
Output $/M
$4.40
1
Step 3.5 FlashStepFun
Coding
No data
Overall
17.0
Output $/M
$0.30
34
vs boards won of 35 shared

Decision reading

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

o4 Mini has the edge where what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Shared results
35
o4 Mini only
59
Step 3.5 Flash only
0
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
o4 Mini not benchmarked, Step 3.5 Flash not benchmarked.
Widest category
Agentic work, 38.9 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: o4 Mini 55.6% against Step 3.5 Flash 94.4%, 38.9 points apart on a 0 to 100 scale.
Output price
o4 Mini $4.40 against Step 3.5 Flash $0.30 per million output tokens, 14.7x apart.
Context window
o4 Mini takes 200K 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
Categoryo4 MiniBarsStep 3.5 FlashTies
Coding03
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General118
All shared boards134
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for o4 Mini and Step 3.5 Flash
Benchmarko4 MiniStep 3.5 FlashLeader
Aider polyglot72.0%Not measuredOnly o4 Mini measured
SWE-bench Verified64.6%Not measuredOnly o4 Mini measured
SWE-bench Multimodal33.9%Not measuredOnly o4 Mini measured
LiveCodeBench (Vals AI)82.2%Not measuredOnly o4 Mini measured
LiveCodeBench (Artificial Analysis run)85.9%Not measuredOnly o4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)15.2%32.6%Step 3.5 Flash
GSO-Bench3.6%Not measuredOnly o4 Mini measured
WeirdML52.6%Not measuredOnly o4 Mini measured
LMArena Text: coding13681436Step 3.5 Flash
LMArena Text: software and IT13671434Step 3.5 Flash
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for o4 Mini and Step 3.5 Flash
Benchmarko4 MiniStep 3.5 FlashLeader
AA Intelligence Index16.717.0Step 3.5 Flash
Epoch Capabilities Index145.5Not measuredOnly o4 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for o4 Mini and Step 3.5 Flash
Benchmarko4 MiniStep 3.5 FlashLeader
τ²-Bench Telecom55.6%94.4%Step 3.5 Flash
METR time horizons63.9%Not measuredOnly o4 Mini measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for o4 Mini and Step 3.5 Flash
Benchmarko4 MiniStep 3.5 FlashLeader
GPQA Diamond74.5%Not measuredOnly o4 Mini measured
MMMU Pro (Vals AI)79.7%Not measuredOnly o4 Mini measured
GPQA Diamond (Artificial Analysis run)78.4%83.1%Step 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)16.5%24.5%Step 3.5 Flash
GPQA Diamond (Epoch AI run)79.6%Not measuredOnly o4 Mini measured
ARC-AGI58.7%Not measuredOnly o4 Mini measured
ARC-AGI-26.1%Not measuredOnly o4 Mini measured
SimpleBench38.7%Not measuredOnly o4 Mini measured
Chess puzzles22.0%Not measuredOnly o4 Mini measured
Mystery game puzzles5.0%Not measuredOnly o4 Mini measured
VPCT57.5%Not measuredOnly o4 Mini measured
LMArena Text: hard prompts13511411Step 3.5 Flash
LMArena Text: expert13431421Step 3.5 Flash
LMArena Text: hard prompts in English13661421Step 3.5 Flash
LMArena Vision: diagrams1197Not measuredOnly o4 Mini measured
LMArena Vision: homework1234Not measuredOnly o4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for o4 Mini and Step 3.5 Flash
Benchmarko4 MiniStep 3.5 FlashLeader
AIME83.7%Not measuredOnly o4 Mini measured
MATH 500 (Vals AI)94.2%Not measuredOnly o4 Mini measured
MGSM (Vals AI)93.4%Not measuredOnly o4 Mini measured
AA Math Index90.7Not measuredOnly o4 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly o4 Mini measured
OTIS Mock AIME81.7%Not measuredOnly o4 Mini measured
FrontierMath, tiers 1 to 336.1%Not measuredOnly o4 Mini measured
FrontierMath, tier 44.9%Not measuredOnly o4 Mini measured
MATH level 597.8%Not measuredOnly o4 Mini measured
LMArena Text: math13891408Step 3.5 Flash
LMArena Text: mathematical work13791421Step 3.5 Flash
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for o4 Mini and Step 3.5 Flash
Benchmarko4 MiniStep 3.5 FlashLeader
MMLU Pro80.6%Not measuredOnly o4 Mini measured
LegalBench (Vals AI)79.2%Not measuredOnly o4 Mini measured
CorpFin (Vals AI)59.0%Not measuredOnly o4 Mini measured
TaxEval (Vals AI)74.8%Not measuredOnly o4 Mini measured
MortgageTax (Vals AI)64.8%Not measuredOnly o4 Mini measured
MedQA (Vals AI)96.0%Not measuredOnly o4 Mini measured
MedCode (Vals AI)33.8%Not measuredOnly o4 Mini measured
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly o4 Mini measured
SimpleQA Verified19.6%Not measuredOnly o4 Mini measured
GeoBench64.0%Not measuredOnly o4 Mini measured
LMArena Text: science13541415Step 3.5 Flash
LMArena Text: medicine and healthcare13611408Step 3.5 Flash
LMArena Text: legal and government13501408Step 3.5 Flash
LMArena Text: business and finance13251394Step 3.5 Flash
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for o4 Mini and Step 3.5 Flash
Benchmarko4 MiniStep 3.5 FlashLeader
Design Arena: websites985Not measuredOnly o4 Mini measured
Design Arena: UI components983Not measuredOnly o4 Mini measured
Design Arena: game dev1003Not measuredOnly o4 Mini measured
Design Arena: data viz990Not measuredOnly o4 Mini measured
Design Arena: 3D854Not measuredOnly o4 Mini measured
Design Arena: all code categories976Not measuredOnly o4 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
General benchmarks for o4 Mini and Step 3.5 Flash
Benchmarko4 MiniStep 3.5 FlashLeader
SAGE (Vals AI)41.1%Not measuredOnly o4 Mini measured
MedScribe (Vals AI)69.1%Not measuredOnly o4 Mini measured
IFBench68.7%66.5%o4 Mini
Long context reasoning (AA-LCR)61.0%63.0%Step 3.5 Flash
DTBench77.6%Not measuredOnly o4 Mini measured
LMCA26.5%Not measuredOnly o4 Mini measured
Fiction.LiveBench77.8%Not measuredOnly o4 Mini measured
Creative writing (Lech Mazur)75.0%Not measuredOnly o4 Mini measured
LMArena Text13531403Step 3.5 Flash
LMArena Text: instruction following13201385Step 3.5 Flash
LMArena Text: creative writing12941357Step 3.5 Flash
LMArena Vision1194Not measuredOnly o4 Mini measured
LMArena Text: English13671417Step 3.5 Flash
LMArena Text: non-English13371385Step 3.5 Flash
LMArena Text: Chinese13541446Step 3.5 Flash
LMArena Text: German13361405Step 3.5 Flash
LMArena Text: Japanese13081353Step 3.5 Flash
LMArena Text: Korean13121351Step 3.5 Flash
LMArena Text: French13641421Step 3.5 Flash
LMArena Text: Spanish13461419Step 3.5 Flash
LMArena Text: Russian13341385Step 3.5 Flash
LMArena Text: Polish13581389Step 3.5 Flash
LMArena Text: multi-turn13501404Step 3.5 Flash
LMArena Text: longer queries13151402Step 3.5 Flash
LMArena Text: writing and language13161372Step 3.5 Flash
LMArena Text: entertainment and media13081360Step 3.5 Flash
LMArena Vision: English1200Not measuredOnly o4 Mini measured
LMArena Vision: Chinese1218Not measuredOnly o4 Mini measured
LMArena Vision: reading text1197Not measuredOnly o4 Mini measured
LMArena Vision: humor1199Not measuredOnly o4 Mini measured
LMArena Vision: captioning1204Not measuredOnly o4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly o4 Mini measured
LMArena Vision: creative writing1166Not measuredOnly o4 Mini measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for o4 Mini and Step 3.5 Flash
Benchmarko4 MiniStep 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

o4 Mini$0.0033Fits 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

o4 Mini$0.068Fits 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

o4 Mini$0.264Exceeds 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 o4 Mini and Step 3.5 Flash
SpecificationOpenAI o4 MiniStepFun Step 3.5 Flash
MakerOpenAIStepFun
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2025January 29, 2026
Context window200K262K
Input $/Mtok$1.10$0.10
Output $/Mtok$4.40$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o4 Mini better than Step 3.5 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. o4 Mini has the edge where what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, o4 Mini or Step 3.5 Flash?

o4 Mini costs $1.10 per million input tokens and $4.40 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, o4 Mini or Step 3.5 Flash?

Step 3.5 Flash, with 262K tokens against 200K.

How many benchmarks is the o4 Mini vs Step 3.5 Flash comparison based on?

35 benchmarks have a result for both models as of October 21, 2026. o4 Mini'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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