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GPT-4o (2024-08-06) vs Hy3

Hy3 costs 18.9x less per output token than GPT-4o (2024-08-06) ($0.528 vs $10.00 per million). Updated October 22, 2026; 30 benchmarks have a result for both.

Replace GPT-4o (2024-08-06) Replace Hy3
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
0
Hy3Tencent
Coding
No data
Overall
No data
Output $/M
$0.528
30
vs boards won of 30 shared

GPT-4o (2024-08-06) or Hy3: which to pick

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

Pick GPT-4o (2024-08-06) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BHy3TencentNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
30
GPT-4o (2024-08-06) only
28
Hy3 only
14
Like-for-like categories
5 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
GPT-4o (2024-08-06) not benchmarked, Hy3 not benchmarked.
Widest category
Reasoning, 33.1 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GPT-4o (2024-08-06) 1254 against Hy3 1485, 38.5 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Hy3 $0.528 per million output tokens, 18.9x apart.
Context window
GPT-4o (2024-08-06) 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 (2024-08-06)BarsHy3Ties
Coding02
Reasoning05
Math02
Knowledge04
General017
All shared boards030
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4o (2024-08-06) and Hy3
BenchmarkGPT-4o (2024-08-06)Hy3Leader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena WebDevNot measured1507Only Hy3 measured
LiveCodeBench (Artificial Analysis run)31.7%Not measuredOnly GPT-4o (2024-08-06) measured
SciCodeNot measured48.6%Only Hy3 measured
Terminal-Bench Hard (Artificial Analysis run)8.3%Not measuredOnly GPT-4o (2024-08-06) measured
ALE-BenchNot measured838.6Only Hy3 measured
LMArena Text: coding12831466Hy3
LMArena Text: software and IT12781463Hy3
LMArena WebDev: ReactNot measured1511Only Hy3 measured
LMArena WebDev: HTMLNot measured1487Only Hy3 measured
Neither model has a result on the other 32 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for GPT-4o (2024-08-06) and Hy3
BenchmarkGPT-4o (2024-08-06)Hy3Leader
AA Intelligence Index7.7Not measuredOnly GPT-4o (2024-08-06) 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 GPT-4o (2024-08-06) and Hy3
BenchmarkGPT-4o (2024-08-06)Hy3Leader
τ²-Bench Telecom28.9%Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4o (2024-08-06) and Hy3
BenchmarkGPT-4o (2024-08-06)Hy3Leader
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%89.7%Hy3
Humanity's Last Exam (Artificial Analysis run)2.3%33.5%Hy3
GPQA Diamond (Epoch AI run)49.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleBench17.8%Not measuredOnly GPT-4o (2024-08-06) measured
Chess puzzles6.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts12641447Hy3
LMArena Text: expert12411461Hy3
LMArena Text: hard prompts in English12771455Hy3
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o (2024-08-06) and Hy3
BenchmarkGPT-4o (2024-08-06)Hy3Leader
AIME14.0%Not measuredOnly GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)75.2%Not measuredOnly GPT-4o (2024-08-06) measured
MGSM (Vals AI)90.7%Not measuredOnly GPT-4o (2024-08-06) measured
OTIS Mock AIME6.4%Not measuredOnly GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math12851473Hy3
LMArena Text: mathematical work12831482Hy3
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o (2024-08-06) and Hy3
BenchmarkGPT-4o (2024-08-06)Hy3Leader
MMLU Pro74.1%Not measuredOnly GPT-4o (2024-08-06) measured
LegalBench (Vals AI)80.1%Not measuredOnly GPT-4o (2024-08-06) measured
CorpFin (Vals AI)39.4%Not measuredOnly GPT-4o (2024-08-06) measured
TaxEval (Vals AI)71.1%Not measuredOnly GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741457Hy3
LMArena Text: medicine and healthcare12521452Hy3
LMArena Text: legal and government12751422Hy3
LMArena Text: business and finance12321424Hy3
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Hy3
BenchmarkGPT-4o (2024-08-06)Hy3Leader
Design Arena: websitesNot measured1230Only Hy3 measured
Design Arena: UI componentsNot measured1204Only Hy3 measured
Design Arena: game devNot measured1208Only Hy3 measured
Design Arena: data vizNot measured1165Only Hy3 measured
Design Arena: 3DNot measured1232Only Hy3 measured
Design Arena: all code categoriesNot measured1227Only Hy3 measured
Design Arena: SVGNot measured1201Only Hy3 measured
Design Arena: ASCII artNot measured1152Only 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 (2024-08-06) and Hy3
BenchmarkGPT-4o (2024-08-06)Hy3Leader
IFBench36.0%Not measuredOnly GPT-4o (2024-08-06) measured
Long context reasoning (AA-LCR)41.0%79.0%Hy3
LMArena Text12831438Hy3
LMArena Text: instruction following12671426Hy3
LMArena Text: creative writing12741403Hy3
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English12971448Hy3
LMArena Text: non-English12621426Hy3
LMArena Text: Chinese12541485Hy3
LMArena Text: German12571449Hy3
LMArena Text: Japanese12341397Hy3
LMArena Text: Korean12181396Hy3
LMArena Text: French12631456Hy3
LMArena Text: Spanish12691457Hy3
LMArena Text: Russian12721432Hy3
LMArena Text: PolishNot measured1447Only Hy3 measured
LMArena Text: multi-turn12791436Hy3
LMArena Text: longer queries12831442Hy3
LMArena Text: writing and language12901414Hy3
LMArena Text: entertainment and media12671400Hy3
LMArena Vision: English1072Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: Chinese1009Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-08-06) and Hy3
BenchmarkGPT-4o (2024-08-06)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 (2024-08-06)$0.0075Fits in one request
Hy3$0.0004Fits in one request

Hy3 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
Hy3$0.0082Fits in one request

Hy3 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds 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 (2024-08-06) and Hy3
SpecificationOpenAI GPT-4o (2024-08-06)Tencent Hy3
MakerOpenAITencent
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024July 6, 2026
Context window128K262K
Input $/Mtok$2.50$0.132
Output $/Mtok$10.00$0.528
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than Hy3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-4o (2024-08-06) or Hy3?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 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 (2024-08-06) or Hy3?

Hy3, with 262K tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs Hy3 comparison based on?

30 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-08-06)'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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