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R1 0528 vs Step 3.7 Flash

Step 3.7 Flash leads R1 0528 on the Artificial Analysis Intelligence Index, 19.5 to 13.1, and Step 3.7 Flash costs 1.9x less per output token ($1.15 vs $2.18 per million). Updated October 21, 2026; 15 benchmarks have a result for both.

Replace R1 0528 Replace Step 3.7 Flash
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
3
Step 3.7 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$1.15
12
vs boards won of 15 shared

R1 0528 or Step 3.7 Flash: which to pick

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

Pick R1 0528 for work measured by Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BStep 3.7 FlashStepFunNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
15
R1 0528 only
45
Step 3.7 Flash only
3
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
R1 0528 not benchmarked, Step 3.7 Flash not benchmarked.
Widest category
Agentic work, 62.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: R1 0528 36.5% against Step 3.7 Flash 98.5%, 62.0 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against Step 3.7 Flash $1.15 per million output tokens, 1.9x apart.
Context window
R1 0528 takes 164K tokens, Step 3.7 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
CategoryR1 0528BarsStep 3.7 FlashTies
Coding11
Intelligence01
Agentic work01
Reasoning11
Web design16
General02
All shared boards312
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
Coding benchmarks for R1 0528 and Step 3.7 Flash
BenchmarkR1 0528Step 3.7 FlashLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
AA Coding IndexNot measured39.6Only Step 3.7 Flash measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
SciCodeNot measured43.9%Only Step 3.7 Flash measured
Terminal-Bench Hard (Artificial Analysis run)15.9%35.6%Step 3.7 Flash
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1694.1R1 0528
LMArena Text: coding1427Not measuredOnly R1 0528 measured
LMArena Text: software and IT1435Not measuredOnly R1 0528 measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and Step 3.7 Flash
BenchmarkR1 0528Step 3.7 FlashLeader
AA Intelligence Index13.119.5Step 3.7 Flash
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for R1 0528 and Step 3.7 Flash
BenchmarkR1 0528Step 3.7 FlashLeader
τ²-Bench Telecom36.5%98.5%Step 3.7 Flash
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
BrowseComp-Plus16.4%Not measuredOnly R1 0528 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
Reasoning benchmarks for R1 0528 and Step 3.7 Flash
BenchmarkR1 0528Step 3.7 FlashLeader
GPQA Diamond (Artificial Analysis run)81.3%80.9%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%21.4%Step 3.7 Flash
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
LMArena Text: hard prompts1415Not measuredOnly R1 0528 measured
LMArena Text: expert1394Not measuredOnly R1 0528 measured
LMArena Text: hard prompts in English1422Not measuredOnly R1 0528 measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for R1 0528 and Step 3.7 Flash
BenchmarkR1 0528Step 3.7 FlashLeader
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math1400Not measuredOnly R1 0528 measured
LMArena Text: mathematical work1415Not measuredOnly R1 0528 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for R1 0528 and Step 3.7 Flash
BenchmarkR1 0528Step 3.7 FlashLeader
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
LMArena Text: science1430Not measuredOnly R1 0528 measured
LMArena Text: medicine and healthcare1445Not measuredOnly R1 0528 measured
LMArena Text: legal and government1419Not measuredOnly R1 0528 measured
LMArena Text: business and finance1402Not measuredOnly R1 0528 measured
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for R1 0528 and Step 3.7 Flash
BenchmarkR1 0528Step 3.7 FlashLeader
Design Arena: websites11491196Step 3.7 Flash
Design Arena: UI components11031179Step 3.7 Flash
Design Arena: game dev10971158Step 3.7 Flash
Design Arena: data viz11821172R1 0528
Design Arena: 3D11111129Step 3.7 Flash
Design Arena: all code categories11391182Step 3.7 Flash
Design Arena: SVG10391085Step 3.7 Flash
Design Arena: ASCII artNot measured1152Only Step 3.7 Flash measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for R1 0528 and Step 3.7 Flash
BenchmarkR1 0528Step 3.7 FlashLeader
IFBench39.6%67.3%Step 3.7 Flash
Long context reasoning (AA-LCR)55.7%73.7%Step 3.7 Flash
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text1428Not measuredOnly R1 0528 measured
LMArena Text: instruction following1382Not measuredOnly R1 0528 measured
LMArena Text: creative writing1405Not measuredOnly R1 0528 measured
LMArena Text: English1437Not measuredOnly R1 0528 measured
LMArena Text: non-English1412Not measuredOnly R1 0528 measured
LMArena Text: Chinese1442Not measuredOnly R1 0528 measured
LMArena Text: German1404Not measuredOnly R1 0528 measured
LMArena Text: Japanese1391Not measuredOnly R1 0528 measured
LMArena Text: Korean1360Not measuredOnly R1 0528 measured
LMArena Text: French1417Not measuredOnly R1 0528 measured
LMArena Text: Spanish1411Not measuredOnly R1 0528 measured
LMArena Text: Russian1423Not measuredOnly R1 0528 measured
LMArena Text: Polish1428Not measuredOnly R1 0528 measured
LMArena Text: multi-turn1405Not measuredOnly R1 0528 measured
LMArena Text: longer queries1391Not measuredOnly R1 0528 measured
LMArena Text: writing and language1402Not measuredOnly R1 0528 measured
LMArena Text: entertainment and media1400Not measuredOnly R1 0528 measured
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and Step 3.7 Flash
BenchmarkR1 0528Step 3.7 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

R1 0528$0.0016Fits in one request
Step 3.7 Flash$0.0008Fits in one request

Step 3.7 Flash costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
Step 3.7 Flash$0.013Fits in one request

Step 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
Step 3.7 Flash$0.051Fits in one request

Step 3.7 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 R1 0528 and Step 3.7 Flash
SpecificationDeepSeek R1 0528StepFun Step 3.7 Flash
MakerDeepSeekStepFun
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025May 28, 2026
Context window164K262K
Input $/Mtok$0.50$0.20
Output $/Mtok$2.18$1.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Step 3.7 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for work measured by Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Which is cheaper, R1 0528 or Step 3.7 Flash?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or Step 3.7 Flash?

Step 3.7 Flash, with 262K tokens against 164K.

How many benchmarks is the R1 0528 vs Step 3.7 Flash comparison based on?

15 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 0 independent benchmarks and Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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