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Head-to-head comparison

GPT-5.2 Chat vs Hy3

GPT-5.2 Chat (OpenAI) and Hy3 (Tencent) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, GPT-5.2 Chat holds the stronger ModelCap Index position (#9 vs #19); Hy3 is 26.5× cheaper per output token ($0.528/1M vs $14.00/1M); Hy3 offers the longer context window (262K vs 128K tokens); and Hy3 ships open weights.

Which should you choose?

Choose GPT-5.2 Chat if…

  • you want the stronger overall ModelCap Index position — #9 against #19 (74.9 vs 67.5 points).
  • Arena coding is your yardstick — 1515 against 1503.

Choose Hy3 if…

  • API cost matters — $0.528/1M output tokens against $14.00/1M, about 26.5× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.132/1M against $1.75/1M.
  • you need the longer context window — 262K tokens against 128K.
  • you want to self-host: Hy3 ships open weights while GPT-5.2 Chat is api only.
  • you want provider choice — 6 listed API providers against 1.
  • you want the more recently listed model — Hy3 was listed 6 July 2026, GPT-5.2 Chat 10 December 2025.

GPT-5.2 Chat vs Hy3: specs, pricing and context

Specification comparison of GPT-5.2 Chat and Hy3
FieldGPT-5.2 ChatOpenAIHy3Tencent
ModelCap Index position#9#19
Index score74.967.5
EvidenceMeasuredMeasured
Input price / 1M tokens$1.75$0.132
Output price / 1M tokens$14.00$0.528
Context window128K tokens262K tokens
Max output tokens32K128K
API providers listed16
Weight accessAPI onlyOpen weights
Input modalitiesFile, Image, TextText
First listed10 December 20256 July 2026
PublisherOpenAITencent

Evidence: 2 public benchmark observations across 2 boards · 4 public benchmark observations across 4 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-5.2 Chat vs Hy3

Public benchmark boards where GPT-5.2 Chat or Hy3 has a published result
BoardGPT-5.2 ChatHy3Leads
Arena codingArena (LMArena)15151508–152215031486–1519GPT-5.2 Chat
LMArena AgentLMArena—-1.3%-2.6%–0.0%Only one result
Artificial Analysis Intelligence IndexArtificial Analysis—42.2intelligence-indexOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

GPT-5.2 Chat vs Hy3: common questions

Is GPT-5.2 Chat better than Hy3?

GPT-5.2 Chat ranks higher on the ModelCap Index as of 17 August 2026: #9 against #19. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is GPT-5.2 Chat cheaper than Hy3?

Hy3 is cheaper on output tokens: $0.528/1M against $14.00/1M. Input tokens are $1.75/1M for GPT-5.2 Chat and $0.132/1M for Hy3. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, GPT-5.2 Chat or Hy3?

Hy3 has the larger context window: 262K tokens against 128K.

Which is better for coding, GPT-5.2 Chat or Hy3?

Arena coding: GPT-5.2 Chat 1515, Hy3 1503 — GPT-5.2 Chat leads.

Are GPT-5.2 Chat and Hy3 open-weight models?

GPT-5.2 Chat: API only. Hy3: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run GPT-5.2 Chat and Hy3?

ModelCap currently lists 1 API provider for GPT-5.2 Chat and 6 for Hy3, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-5.2 Chat vs Hy3 comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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