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Gemini 3.5 Flash vs Hy4 preview

Updated October 21, 2026. 18 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.5 FlashGoogle
Coding
42.8
Overall
33.6
Output $/M
$9.00
5
Hy4 previewTencent
Coding
61.6
Overall
No data
Output $/M
$2.501
12
vs boards won of 18 shared, 1 tied

Decision reading

Pick Hy4 preview for coding: it scores 61.6 on the Vibe Coding Index against 42.8 for Gemini 3.5 Flash.

Pick Gemini 3.5 Flash when what matters is Terminal-Bench 2.1 (Vals AI) or Finance Agent (Vals AI), where it leads.

Shared results
18
Gemini 3.5 Flash only
92
Hy4 preview only
6
Like-for-like categories
5 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
Gemini 3.5 Flash 42.8 from 1 benchmark, Hy4 preview 61.6 from 1 benchmark.
Widest category
Math, 44.0 points apart on average over 1 shared benchmark.
Widest single gap
ProofBench: Gemini 3.5 Flash 31.0% against Hy4 preview 75.0%, 44.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Hy4 preview $2.501 per million output tokens, 3.6x apart.
Context window
Both take 1.05M 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
CategoryGemini 3.5 FlashBarsHy4 previewTies
Coding161 tie
Agentic work32
Math01
Knowledge11
General02
All shared boards5121 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index16
Coding benchmarks for Gemini 3.5 Flash and Hy4 preview
BenchmarkGemini 3.5 FlashHy4 previewLeader
LMArena WebDev14991631Hy4 preview
LiveCodeBench (Vals AI)87.6%Not measuredOnly Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%8.1%Hy4 preview
Vibe Code Bench (Vals AI)48.7%77.5%Hy4 preview
Code migration (Vals AI)26.8%47.4%Hy4 preview
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)Not measured59.3%Only Hy4 preview measured
Terminal-Bench 2.1 (Vals AI)74.2%55.1%Gemini 3.5 Flash
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
CyberBench (Vals AI)Not measured65.4%Only Hy4 preview measured
SciCode53.9%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.0Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: coding1493Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: software and IT1494Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: React14951653Hy4 preview
LMArena WebDev: HTML15221620Hy4 preview
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 18 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 3.5 Flash and Hy4 preview
BenchmarkGemini 3.5 FlashHy4 previewLeader
AA Intelligence Index33.6Not measuredOnly Gemini 3.5 Flash measured
Epoch Capabilities Index154.9Not measuredOnly Gemini 3.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index32
Agentic work benchmarks for Gemini 3.5 Flash and Hy4 preview
BenchmarkGemini 3.5 FlashHy4 previewLeader
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1175Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1190Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1142Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1178Not measuredOnly Gemini 3.5 Flash measured
SREBench (Vals AI)Not measured2.3%Only Hy4 preview measured
Finance Agent (Vals AI)57.9%55.1%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%32.6%Hy4 preview
Legal Research Bench (Vals AI)30.8%45.2%Hy4 preview
Harvey's Legal Agent Benchmark (Vals AI)Not measured8.8%Only Hy4 preview measured
Excel Modeling Benchmark (Vals AI)63.5%58.1%Gemini 3.5 Flash
BioMysteryBench (Vals AI)Not measured69.3%Only Hy4 preview measured
Terminal-Bench-Science (Vals AI)5.7%1.4%Gemini 3.5 Flash
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 20 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Reasoning benchmarks for Gemini 3.5 Flash and Hy4 preview
BenchmarkGemini 3.5 FlashHy4 previewLeader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%Not measuredOnly Gemini 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)42.7%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Epoch AI run)92.8%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%Not measuredOnly Gemini 3.5 Flash measured
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts1488Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: expert1495Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts in English1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: diagrams1323Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: homework1330Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for Gemini 3.5 Flash and Hy4 preview
BenchmarkGemini 3.5 FlashHy4 previewLeader
OTIS Mock AIME95.6%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%75.0%Hy4 preview
LMArena Text: math1504Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: mathematical work1495Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index11
Knowledge benchmarks for Gemini 3.5 Flash and Hy4 preview
BenchmarkGemini 3.5 FlashHy4 previewLeader
MMLU Pro89.5%Not measuredOnly Gemini 3.5 Flash measured
LegalBench (Vals AI)83.6%83.8%Hy4 preview
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%Not measuredOnly Gemini 3.5 Flash measured
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%43.3%Gemini 3.5 Flash
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science1495Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: medicine and healthcare1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: legal and government1488Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: business and finance1467Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 3.5 Flash and Hy4 preview
BenchmarkGemini 3.5 FlashHy4 previewLeader
Design Arena: websites1268Not measuredOnly Gemini 3.5 Flash measured
Design Arena: UI components1272Not measuredOnly Gemini 3.5 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.5 Flash measured
Design Arena: data viz1236Not measuredOnly Gemini 3.5 Flash measured
Design Arena: 3D1244Not measuredOnly Gemini 3.5 Flash measured
Design Arena: all code categories1266Not measuredOnly Gemini 3.5 Flash measured
Design Arena: SVG1254Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1253Not measuredOnly Gemini 3.5 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 Gemini 3.5 Flash and Hy4 preview
BenchmarkGemini 3.5 FlashHy4 previewLeader
Vals IndexNot measured53.2%Only Hy4 preview measured
Public Benefits Bench (Vals AI)59.5%68.6%Hy4 preview
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%83.6%Hy4 preview
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%Not measuredOnly Gemini 3.5 Flash measured
DTBench94.7%Not measuredOnly Gemini 3.5 Flash measured
LMCA47.1%Not measuredOnly Gemini 3.5 Flash measured
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text1482Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: instruction following1467Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: creative writing1470Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision1308Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: English1481Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: non-English1475Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Chinese1527Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: German1494Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Japanese1486Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Korean1448Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: French1490Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Spanish1480Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Russian1493Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Polish1516Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: multi-turn1481Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: longer queries1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: writing and language1478Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: entertainment and media1459Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: English1305Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text1317Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing1301Not measuredOnly Gemini 3.5 Flash measured
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash and Hy4 preview
BenchmarkGemini 3.5 FlashHy4 previewLeader
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

Gemini 3.5 Flash$0.0060Fits in one request
Hy4 preview$0.0021Fits in one request

Hy4 preview costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Hy4 preview$0.049Fits in one request

Hy4 preview costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
Hy4 preview$0.192Fits in one request

Hy4 preview 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 Gemini 3.5 Flash and Hy4 preview
SpecificationGoogle Gemini 3.5 FlashTencent Hy4 preview
MakerGoogleTencent
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026August 28, 2026
Context window1.05M1.05M
Input $/Mtok$1.50$0.834
Output $/Mtok$9.00$2.501
Coding index42.861.6
Independent measurements behind it11
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Hy4 preview for coding?

Pick Hy4 preview for coding: it scores 61.6 on the Vibe Coding Index against 42.8 for Gemini 3.5 Flash. Pick Gemini 3.5 Flash when what matters is Terminal-Bench 2.1 (Vals AI) or Finance Agent (Vals AI), where it leads.

Which is cheaper, Gemini 3.5 Flash or Hy4 preview?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Hy4 preview costs $0.834 and $2.501. Cost per solved task is known for Gemini 3.5 Flash only.

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

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.5 Flash vs Hy4 preview comparison based on?

18 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 1 independent benchmark and Hy4 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.

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