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GPT-5.2 Pro vs Hy3

Hy3 costs 509.1x less per output token than GPT-5.2 Pro ($0.33 vs $168.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace GPT-5.2 Pro Replace Hy3
GPT-5.2 ProOpenAI
Coding
No data
Overall
No data
Output $/M
$168.00
Hy3Tencent
Coding
No data
Overall
No data
Output $/M
$0.33
vs $168.00 vs $0.33 per 1M output tokens. Hy3 is 509.1x cheaper.

GPT-5.2 Pro or Hy3: which to pick

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

Pick GPT-5.2 Pro for a larger context window (400K against 262K tokens).

Model AGPT-5.2 ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BHy3TencentNot benchmarked1 independent benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-5.2 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; Hy3 on LMArena WebDev, SciCode and ALE-Bench. 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
GPT-5.2 Pro not benchmarked, Hy3 not benchmarked.
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
GPT-5.2 Pro $168.00 against Hy3 $0.33 per million output tokens, 509.1x apart.
Context window
GPT-5.2 Pro takes 400K tokens, Hy3 262K.

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 Index7 boards measured
Coding benchmarks for GPT-5.2 Pro and Hy3
BenchmarkGPT-5.2 ProHy3Leader
LMArena WebDevNot measured1507Only Hy3 measured
SciCodeNot measured48.6%Only Hy3 measured
ALE-BenchNot measured838.6Only Hy3 measured
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 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GPT-5.2 Pro and Hy3
BenchmarkGPT-5.2 ProHy3Leader
Epoch Capabilities Index156.3Not measuredOnly GPT-5.2 Pro measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Reasoning benchmarks for GPT-5.2 Pro and Hy3
BenchmarkGPT-5.2 ProHy3Leader
GPQA Diamond (Artificial Analysis run)Not measured89.7%Only Hy3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured33.5%Only Hy3 measured
ARC-AGI90.5%Not measuredOnly GPT-5.2 Pro measured
ARC-AGI-254.2%Not measuredOnly GPT-5.2 Pro measured
SimpleBench57.4%Not measuredOnly GPT-5.2 Pro measured
Chess puzzles60.0%Not measuredOnly GPT-5.2 Pro measured
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 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Math benchmarks for GPT-5.2 Pro and Hy3
BenchmarkGPT-5.2 ProHy3Leader
FrontierMath, tiers 1 to 374.0%Not measuredOnly GPT-5.2 Pro measured
FrontierMath, tier 446.0%Not measuredOnly GPT-5.2 Pro measured
LMArena Text: mathNot measured1473Only Hy3 measured
LMArena Text: mathematical workNot measured1482Only Hy3 measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for GPT-5.2 Pro and Hy3
BenchmarkGPT-5.2 ProHy3Leader
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 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for GPT-5.2 Pro and Hy3
BenchmarkGPT-5.2 ProHy3Leader
Design Arena: websitesNot measured1230Only Hy3 measured
Design Arena: UI componentsNot measured1207Only 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 measured1200Only Hy3 measured
Design Arena: ASCII artNot measured1152Only Hy3 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index18 boards measured
General benchmarks for GPT-5.2 Pro and Hy3
BenchmarkGPT-5.2 ProHy3Leader
Long context reasoning (AA-LCR)Not measured79.0%Only Hy3 measured
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 28 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-5.2 Pro$0.105Fits in one request
Hy3$0.0002Fits in one request

Hy3 costs less

Repository review

50K input + 3K output tokens

GPT-5.2 Pro$1.55Fits in one request
Hy3$0.0051Fits in one request

Hy3 costs less

Agent loop

200K input + 10K output tokens

GPT-5.2 Pro$5.88Fits 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 GPT-5.2 Pro and Hy3
SpecificationOpenAI GPT-5.2 ProTencent Hy3
MakerOpenAITencent
WeightsNo public weights listedOpen weights
ReleasedDecember 10, 2025July 6, 2026
Context window400K262K
Input $/Mtok$21.00$0.0825
Output $/Mtok$168.00$0.33
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.2 Pro better than Hy3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.2 Pro for a larger context window (400K against 262K tokens).

Which is cheaper, GPT-5.2 Pro or Hy3?

GPT-5.2 Pro costs $21.00 per million input tokens and $168.00 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, GPT-5.2 Pro or Hy3?

GPT-5.2 Pro, with 400K tokens against 262K.

Has any benchmark tested both GPT-5.2 Pro and Hy3?

No benchmark has tested both yet. GPT-5.2 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; Hy3 on LMArena WebDev, SciCode and ALE-Bench. Compare them on price and context instead. Data as of October 21, 2026.

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