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Step 3.7 Flash vs Hy3

Hy3 costs 3.5x less per output token than Step 3.7 Flash ($0.33 vs $1.15 per million). Updated October 21, 2026; 13 benchmarks have a result for both.

Step 3.7 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$1.15
1
Hy3Tencent
Coding
No data
Overall
No data
Output $/M
$0.33
11
vs boards won of 13 shared, 1 tied

Step 3.7 Flash or Hy3: which to pick

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

Pick Step 3.7 Flash for work measured by SciCode or ALE-Bench, where it leads.

Shared results
13
Step 3.7 Flash only
5
Hy3 only
31
Like-for-like categories
4 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
Step 3.7 Flash not benchmarked, Hy3 not benchmarked.
Widest category
Reasoning, 10.4 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: SVG: Step 3.7 Flash 1085 against Hy3 1200, 14.4 points apart on a 0 to 100 scale.
Output price
Step 3.7 Flash $1.15 against Hy3 $0.33 per million output tokens, 3.5x apart.
Context window
Both take 262K 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
CategoryStep 3.7 FlashBarsHy3Ties
Coding02
Reasoning02
Web design161 tie
General01
All shared boards1111 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Step 3.7 Flash and Hy3
BenchmarkStep 3.7 FlashHy3Leader
LMArena WebDevNot measured1507Only Hy3 measured
AA Coding Index39.6Not measuredOnly Step 3.7 Flash measured
SciCode43.9%48.6%Hy3
Terminal-Bench Hard (Artificial Analysis run)35.6%Not measuredOnly Step 3.7 Flash measured
ALE-Bench694.1838.6Hy3
LMArena Text: codingNot measured1466Only Hy3 measured
LMArena Text: software and ITNot measured1463Only Hy3 measured
LMArena WebDev: ReactNot measured1511Only Hy3 measured
LMArena WebDev: HTMLNot measured1487Only Hy3 measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Step 3.7 Flash and Hy3
BenchmarkStep 3.7 FlashHy3Leader
AA Intelligence Index19.5Not measuredOnly Step 3.7 Flash measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Step 3.7 Flash and Hy3
BenchmarkStep 3.7 FlashHy3Leader
τ²-Bench Telecom98.5%Not measuredOnly Step 3.7 Flash measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Step 3.7 Flash and Hy3
BenchmarkStep 3.7 FlashHy3Leader
GPQA Diamond (Artificial Analysis run)80.9%89.7%Hy3
Humanity's Last Exam (Artificial Analysis run)21.4%33.5%Hy3
LMArena Text: hard promptsNot measured1447Only Hy3 measured
LMArena Text: expertNot measured1461Only Hy3 measured
LMArena Text: hard prompts in EnglishNot measured1455Only Hy3 measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Step 3.7 Flash and Hy3
BenchmarkStep 3.7 FlashHy3Leader
LMArena Text: mathNot measured1473Only Hy3 measured
LMArena Text: mathematical workNot measured1482Only Hy3 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for Step 3.7 Flash and Hy3
BenchmarkStep 3.7 FlashHy3Leader
LMArena Text: scienceNot measured1457Only Hy3 measured
LMArena Text: medicine and healthcareNot measured1452Only Hy3 measured
LMArena Text: legal and governmentNot measured1422Only Hy3 measured
LMArena Text: business and financeNot measured1424Only Hy3 measured
Neither model has a result on the other 14 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for Step 3.7 Flash and Hy3
BenchmarkStep 3.7 FlashHy3Leader
Design Arena: websites11961230Hy3
Design Arena: UI components11791207Hy3
Design Arena: game dev11581208Hy3
Design Arena: data viz11721163Step 3.7 Flash
Design Arena: 3D11291233Hy3
Design Arena: all code categories11821227Hy3
Design Arena: SVG10851200Hy3
Design Arena: ASCII art11521152Tie
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Step 3.7 Flash and Hy3
BenchmarkStep 3.7 FlashHy3Leader
IFBench67.3%Not measuredOnly Step 3.7 Flash measured
Long context reasoning (AA-LCR)73.7%79.0%Hy3
LMArena TextNot measured1438Only Hy3 measured
LMArena Text: instruction followingNot measured1426Only Hy3 measured
LMArena Text: creative writingNot measured1403Only Hy3 measured
LMArena Text: EnglishNot measured1448Only Hy3 measured
LMArena Text: non-EnglishNot measured1426Only Hy3 measured
LMArena Text: ChineseNot measured1485Only Hy3 measured
LMArena Text: GermanNot measured1449Only Hy3 measured
LMArena Text: JapaneseNot measured1397Only Hy3 measured
LMArena Text: KoreanNot measured1396Only Hy3 measured
LMArena Text: FrenchNot measured1456Only Hy3 measured
LMArena Text: SpanishNot measured1457Only Hy3 measured
LMArena Text: RussianNot measured1432Only Hy3 measured
LMArena Text: PolishNot measured1447Only Hy3 measured
LMArena Text: multi-turnNot measured1436Only Hy3 measured
LMArena Text: longer queriesNot measured1442Only Hy3 measured
LMArena Text: writing and languageNot measured1414Only Hy3 measured
LMArena Text: entertainment and mediaNot measured1400Only Hy3 measured
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Step 3.7 Flash and Hy3
BenchmarkStep 3.7 FlashHy3Leader
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

Step 3.7 Flash$0.0008Fits in one request
Hy3$0.0002Fits in one request

Hy3 costs less

Repository review

50K input + 3K output tokens

Step 3.7 Flash$0.013Fits in one request
Hy3$0.0051Fits in one request

Hy3 costs less

Agent loop

200K input + 10K output tokens

Step 3.7 Flash$0.051Fits in one request
Hy3$0.020Fits in one request

Hy3 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 Step 3.7 Flash and Hy3
SpecificationStepFun Step 3.7 FlashTencent Hy3
MakerStepFunTencent
WeightsOpen weightsOpen weights
ReleasedMay 28, 2026July 6, 2026
Context window262K262K
Input $/Mtok$0.20$0.0825
Output $/Mtok$1.15$0.33
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Step 3.7 Flash better than Hy3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Step 3.7 Flash for work measured by SciCode or ALE-Bench, where it leads.

Which is cheaper, Step 3.7 Flash or Hy3?

Step 3.7 Flash costs $0.20 per million input tokens and $1.15 per million output tokens; Hy3 costs $0.0825 and $0.33. Cost per solved task is known for neither of them.

Which has the bigger context window, Step 3.7 Flash or Hy3?

Neither: both take 262K tokens.

How many benchmarks is the Step 3.7 Flash vs Hy3 comparison based on?

13 benchmarks have a result for both models as of October 21, 2026. Step 3.7 Flash's coding index rests on 0 independent benchmarks and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.

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