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Step 3.5 Flash vs Hy4

Step 3.5 Flash costs 4.2x less per output token than Hy4 ($0.30 vs $1.2505 per million). Updated November 14, 2026; no benchmark has tested both models yet.

Step 3.5 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$0.30
Hy4Tencent
Coding
65.2
Overall
No data
Output $/M
$1.2505
vs $0.30 vs $1.2505 per 1M output tokens. Step 3.5 Flash is 4.2x cheaper.

Step 3.5 Flash or Hy4: which to pick

Only Hy4 has a coding score, 65.2 on the Vibe Coding Index; Step 3.5 Flash has none, so the two cannot be ranked on coding.

Pick Step 3.5 Flash for output tokens 4.2x cheaper ($0.30 vs $1.2505 per million).

No benchmark has tested both yet. Step 3.5 Flash has results on Terminal-Bench Hard (Artificial Analysis run), LMArena Text: coding and LMArena Text: software and IT; Hy4 on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Terminal-Bench 4.0 (Artificial Analysis run). Compare them on price and context instead.

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 3.5 Flash not benchmarked, Hy4 65.2 from 2 benchmarks.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Step 3.5 Flash $0.30 against Hy4 $1.2505 per million output tokens, 4.2x apart.
Context window
Step 3.5 Flash takes 262K tokens, Hy4 1.05M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards measured
Coding benchmarks for Step 3.5 Flash and Hy4
BenchmarkStep 3.5 FlashHy4Leader
Terminal-Bench 4 (Vals AI)Not measured39.4%Only Hy4 measured
Vibe Code Bench (Vals AI)Not measured81.0%Only Hy4 measured
Terminal-Bench Hard (Artificial Analysis run)32.6%Not measuredOnly Step 3.5 Flash measured
Terminal-Bench 4.0 (Artificial Analysis run)Not measured37.4%Only Hy4 measured
FrontierCode 2.0Not measured31.4%Only Hy4 measured
LMArena Text: coding1435Not measuredOnly Step 3.5 Flash measured
LMArena Text: software and IT1434Not measuredOnly Step 3.5 Flash measured
GameBench 2Not measured48.7Only Hy4 measured
Terminal-Bench 4.0Not measured39.1%Only Hy4 measured
Neither model has a result on the other 43 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Step 3.5 Flash and Hy4
BenchmarkStep 3.5 FlashHy4Leader
AA Intelligence IndexNot measured34.6Only Hy4 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Agentic work benchmarks for Step 3.5 Flash and Hy4
BenchmarkStep 3.5 FlashHy4Leader
Tax Agent Bench (Vals AI)Not measured34.4%Only Hy4 measured
Legal Research Bench (Vals AI)Not measured41.4%Only Hy4 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured12.5%Only Hy4 measured
τ²-Bench Telecom94.4%Not measuredOnly Step 3.5 Flash measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Reasoning benchmarks for Step 3.5 Flash and Hy4
BenchmarkStep 3.5 FlashHy4Leader
GPQA Diamond (Artificial Analysis run)83.1%Not measuredOnly Step 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)24.5%Not measuredOnly Step 3.5 Flash measured
HLE-Diamond (Artificial Analysis run)Not measured32.7%Only Hy4 measured
CritPt v2, hard subset (Artificial Analysis run)Not measured39.0%Only Hy4 measured
LMArena Text: hard prompts1410Not measuredOnly Step 3.5 Flash measured
LMArena Text: expert1421Not measuredOnly Step 3.5 Flash measured
LMArena Text: hard prompts in English1420Not measuredOnly Step 3.5 Flash measured
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Math benchmarks for Step 3.5 Flash and Hy4
BenchmarkStep 3.5 FlashHy4Leader
LMArena Text: math1406Not measuredOnly Step 3.5 Flash measured
LMArena Text: mathematical work1419Not measuredOnly Step 3.5 Flash measured
MathArena18.7%Not measuredOnly Step 3.5 Flash measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Knowledge benchmarks for Step 3.5 Flash and Hy4
BenchmarkStep 3.5 FlashHy4Leader
AA-OmniscienceNot measured5.4Only Hy4 measured
LMArena Text: science1414Not measuredOnly Step 3.5 Flash measured
LMArena Text: medicine and healthcare1408Not measuredOnly Step 3.5 Flash measured
LMArena Text: legal and government1407Not measuredOnly Step 3.5 Flash measured
LMArena Text: business and finance1394Not measuredOnly Step 3.5 Flash measured
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Web design benchmarks for Step 3.5 Flash and Hy4
BenchmarkStep 3.5 FlashHy4Leader
Design Arena: websitesNot measured1251Only Hy4 measured
Design Arena: UI componentsNot measured1197Only Hy4 measured
Design Arena: game devNot measured1271Only Hy4 measured
Design Arena: 3DNot measured1251Only Hy4 measured
Design Arena: all code categoriesNot measured1254Only Hy4 measured
Neither model has a result on the other 4 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index20 boards measured
General benchmarks for Step 3.5 Flash and Hy4
BenchmarkStep 3.5 FlashHy4Leader
Vals IndexNot measured59.4%Only Hy4 measured
IFBench66.5%Not measuredOnly Step 3.5 Flash measured
Long context reasoning (AA-LCR)63.0%Not measuredOnly Step 3.5 Flash measured
LMArena Text1402Not measuredOnly Step 3.5 Flash measured
LMArena Text: instruction following1385Not measuredOnly Step 3.5 Flash measured
LMArena Text: creative writing1357Not measuredOnly Step 3.5 Flash measured
LMArena Text: English1417Not measuredOnly Step 3.5 Flash measured
LMArena Text: non-English1385Not measuredOnly Step 3.5 Flash measured
LMArena Text: Chinese1446Not measuredOnly Step 3.5 Flash measured
LMArena Text: German1403Not measuredOnly Step 3.5 Flash measured
LMArena Text: Japanese1353Not measuredOnly Step 3.5 Flash measured
LMArena Text: Korean1350Not measuredOnly Step 3.5 Flash measured
LMArena Text: French1421Not measuredOnly Step 3.5 Flash measured
LMArena Text: Spanish1418Not measuredOnly Step 3.5 Flash measured
LMArena Text: Russian1385Not measuredOnly Step 3.5 Flash measured
LMArena Text: Polish1388Not measuredOnly Step 3.5 Flash measured
LMArena Text: multi-turn1404Not measuredOnly Step 3.5 Flash measured
LMArena Text: longer queries1402Not measuredOnly Step 3.5 Flash measured
LMArena Text: writing and language1371Not measuredOnly Step 3.5 Flash measured
LMArena Text: entertainment and media1359Not measuredOnly Step 3.5 Flash measured
Neither model has a result on the other 29 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 3.5 Flash$0.0003Fits in one request
Hy4$0.0010Fits in one request

Step 3.5 Flash costs less

Repository review

50K input + 3K output tokens

Step 3.5 Flash$0.0059Fits in one request
Hy4$0.025Fits in one request

Step 3.5 Flash costs less

Agent loop

200K input + 10K output tokens

Step 3.5 Flash$0.023Fits in one request
Hy4$0.096Fits 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 Step 3.5 Flash and Hy4
SpecificationStepFun Step 3.5 FlashTencent Hy4
MakerStepFunTencent
WeightsOpen weightsOpen weights
ReleasedJanuary 29, 2026November 4, 2026
Context window262K1.05M
Input $/Mtok$0.10$0.417
Output $/Mtok$0.30$1.2505
Coding indexNot benchmarked65.2
Independent measurements behind it02
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Step 3.5 Flash better than Hy4 for coding?

Only Hy4 has a coding score, 65.2 on the Vibe Coding Index; Step 3.5 Flash has none, so the two cannot be ranked on coding. Pick Step 3.5 Flash for output tokens 4.2x cheaper ($0.30 vs $1.2505 per million).

Which is cheaper, Step 3.5 Flash or Hy4?

Step 3.5 Flash costs $0.10 per million input tokens and $0.30 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for neither of them.

Which has the bigger context window, Step 3.5 Flash or Hy4?

Hy4, with 1.05M tokens against 262K.

Has any benchmark tested both Step 3.5 Flash and Hy4?

No benchmark has tested both yet. Step 3.5 Flash has results on Terminal-Bench Hard (Artificial Analysis run), LMArena Text: coding and LMArena Text: software and IT; Hy4 on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Terminal-Bench 4.0 (Artificial Analysis run). Compare them on price and context instead. Data as of November 14, 2026.

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