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GPT-4o-mini (2024-07-18) vs Hy3

Updated October 21, 2026. 28 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GPT-4o-mini (2024-07-18)OpenAI
Coding
3.6
Overall
No data
Output $/M
$0.60
0
Hy3Tencent
Coding
43.9
Overall
No data
Output $/M
$0.528
28
vs boards won of 28 shared

Decision reading

Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18).

GPT-4o-mini (2024-07-18) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
28
GPT-4o-mini (2024-07-18) only
18
Hy3 only
16
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
GPT-4o-mini (2024-07-18) 3.6 from 1 benchmark, Hy3 43.9 from 1 benchmark.
Widest category
Math, 34.7 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: expert: GPT-4o-mini (2024-07-18) 1234 against Hy3 1461, 37.7 points apart on a 0 to 100 scale.
Output price
GPT-4o-mini (2024-07-18) $0.60 against Hy3 $0.528 per million output tokens, 1.1x apart.
Context window
GPT-4o-mini (2024-07-18) takes 128K tokens, Hy3 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
CategoryGPT-4o-mini (2024-07-18)BarsHy3Ties
Coding02
Reasoning03
Math02
Knowledge04
General017
All shared boards028
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4o-mini (2024-07-18) and Hy3
BenchmarkGPT-4o-mini (2024-07-18)Hy3Leader
Aider polyglot3.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena WebDevNot measured1507Only Hy3 measured
SciCodeNot measured48.6%Only Hy3 measured
WeirdML11.8%Not measuredOnly GPT-4o-mini (2024-07-18) measured
ALE-BenchNot measured838.6Only Hy3 measured
LMArena Text: coding12901466Hy3
LMArena Text: software and IT12911463Hy3
LMArena WebDev: ReactNot measured1511Only Hy3 measured
LMArena WebDev: HTMLNot measured1487Only Hy3 measured
Neither model has a result on the other 29 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for GPT-4o-mini (2024-07-18) and Hy3
BenchmarkGPT-4o-mini (2024-07-18)Hy3Leader
Neither model has a result on 2 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4o-mini (2024-07-18) and Hy3
BenchmarkGPT-4o-mini (2024-07-18)Hy3Leader
BALROG17.4%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for GPT-4o-mini (2024-07-18) and Hy3
BenchmarkGPT-4o-mini (2024-07-18)Hy3Leader
GPQA Diamond (Artificial Analysis run)Not measured89.7%Only Hy3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured33.5%Only Hy3 measured
GPQA Diamond (Epoch AI run)37.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
SimpleBench10.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Chess puzzles3.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Mystery game puzzles12.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
VPCT34.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts12671447Hy3
LMArena Text: expert12341461Hy3
LMArena Text: hard prompts in English12781455Hy3
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o-mini (2024-07-18) and Hy3
BenchmarkGPT-4o-mini (2024-07-18)Hy3Leader
OTIS Mock AIME6.9%Not measuredOnly GPT-4o-mini (2024-07-18) measured
FrontierMath, tiers 1 to 30.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
MATH level 552.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: math12671473Hy3
LMArena Text: mathematical work12711482Hy3
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o-mini (2024-07-18) and Hy3
BenchmarkGPT-4o-mini (2024-07-18)Hy3Leader
SimpleQA Verified8.3%Not measuredOnly GPT-4o-mini (2024-07-18) measured
MMLU76.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
GeoBench64.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: science12861457Hy3
LMArena Text: medicine and healthcare12821452Hy3
LMArena Text: legal and government13051422Hy3
LMArena Text: business and finance12651424Hy3
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-4o-mini (2024-07-18) and Hy3
BenchmarkGPT-4o-mini (2024-07-18)Hy3Leader
Design Arena: websitesNot measured1230Only Hy3 measured
Design Arena: UI componentsNot measured1205Only Hy3 measured
Design Arena: game devNot measured1208Only Hy3 measured
Design Arena: data vizNot measured1163Only Hy3 measured
Design Arena: 3DNot measured1233Only Hy3 measured
Design Arena: all code categoriesNot measured1227Only Hy3 measured
Design Arena: SVGNot measured1199Only Hy3 measured
Design Arena: ASCII artNot measured1157Only Hy3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for GPT-4o-mini (2024-07-18) and Hy3
BenchmarkGPT-4o-mini (2024-07-18)Hy3Leader
Long context reasoning (AA-LCR)Not measured79.0%Only Hy3 measured
Creative writing (Lech Mazur)67.2%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text12861438Hy3
LMArena Text: instruction following12581426Hy3
LMArena Text: creative writing12681403Hy3
LMArena Vision1066Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: English13011448Hy3
LMArena Text: non-English12661426Hy3
LMArena Text: Chinese12651485Hy3
LMArena Text: German12721449Hy3
LMArena Text: Japanese12161397Hy3
LMArena Text: Korean11951396Hy3
LMArena Text: French12971456Hy3
LMArena Text: Spanish12761457Hy3
LMArena Text: Russian12751432Hy3
LMArena Text: Polish12441447Hy3
LMArena Text: multi-turn12851436Hy3
LMArena Text: longer queries12891442Hy3
LMArena Text: writing and language12821414Hy3
LMArena Text: entertainment and media12531400Hy3
LMArena Vision: English1072Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Vision: Chinese1033Not measuredOnly GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o-mini (2024-07-18) and Hy3
BenchmarkGPT-4o-mini (2024-07-18)Hy3Leader
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

GPT-4o-mini (2024-07-18)$0.0004Fits in one request
Hy3$0.0004Fits in one request

Hy3 costs less

Repository review

50K input + 3K output tokens

GPT-4o-mini (2024-07-18)$0.0093Fits in one request
Hy3$0.0082Fits in one request

Hy3 costs less

Agent loop

200K input + 10K output tokens

GPT-4o-mini (2024-07-18)$0.036Exceeds the context window
Hy3$0.032Fits 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 GPT-4o-mini (2024-07-18) and Hy3
SpecificationOpenAI GPT-4o-mini (2024-07-18)Tencent Hy3
MakerOpenAITencent
WeightsNo public weights listedOpen weights
ReleasedJuly 18, 2024July 6, 2026
Context window128K262K
Input $/Mtok$0.15$0.132
Output $/Mtok$0.60$0.528
Coding index3.643.9
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o-mini (2024-07-18) better than Hy3 for coding?

Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18). GPT-4o-mini (2024-07-18) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, GPT-4o-mini (2024-07-18) or Hy3?

GPT-4o-mini (2024-07-18) costs $0.15 per million input tokens and $0.60 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o-mini (2024-07-18) or Hy3?

Hy3, with 262K tokens against 128K.

How many benchmarks is the GPT-4o-mini (2024-07-18) vs Hy3 comparison based on?

28 benchmarks have a result for both models as of October 21, 2026. GPT-4o-mini (2024-07-18)'s coding index rests on 1 independent benchmark 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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