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Head-to-head comparison

GPT-5.2 Chat vs Hy4 preview

GPT-5.2 Chat (OpenAI) and Hy4 preview (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 3 September 2026

As of 3 September 2026, GPT-5.2 Chat holds the stronger ModelCap Index position (#10 vs #19); Hy4 preview is 5.6× cheaper per output token ($2.50/1M vs $14.00/1M); Hy4 preview offers the longer context window (1M vs 128K tokens); and Hy4 preview ships open weights.

Which should you choose?

Choose GPT-5.2 Chat if…

  • you want the stronger overall ModelCap Index position — #10 against #19 (77.0 vs 68.6 points).

Choose Hy4 preview if…

  • API cost matters — $2.50/1M output tokens against $14.00/1M, about 5.6× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.834/1M against $1.75/1M.
  • you need the longer context window — 1M tokens against 128K.
  • you want to self-host: Hy4 preview ships open weights while GPT-5.2 Chat is api only.
  • you want the more recently listed model — Hy4 preview was listed 28 August 2026, GPT-5.2 Chat 10 December 2025.

GPT-5.2 Chat vs Hy4 preview: specs, pricing and context

Specification comparison of GPT-5.2 Chat and Hy4 preview
FieldGPT-5.2 ChatOpenAIHy4 previewTencent
ModelCap Index position#10#19
Index score77.068.6
EvidenceMeasuredEstimated
Input price / 1M tokens$1.75$0.834
Output price / 1M tokens$14.00$2.50
Context window128K tokens1M tokens
Max output tokens32K64K
API providers listed11
Weight accessAPI onlyOpen weights
Input modalitiesFile, Image, TextText
First listed10 December 202528 August 2026
PublisherOpenAITencent

Evidence: 2 public benchmark observations across 2 boards · placed against measured peers on publisher-reported benchmarks, discounted for self-report optimism; floored directly above its measured family predecessor. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-5.2 Chat vs Hy4 preview

Public benchmark boards where GPT-5.2 Chat or Hy4 preview has a published result
BoardGPT-5.2 ChatHy4 previewLeads
Arena codingArena (LMArena)15151508–1522Only 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 Hy4 preview: common questions

Is GPT-5.2 Chat better than Hy4 preview?

GPT-5.2 Chat ranks higher on the ModelCap Index as of 3 September 2026: #10 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 Hy4 preview?

Hy4 preview is cheaper on output tokens: $2.50/1M against $14.00/1M. Input tokens are $1.75/1M for GPT-5.2 Chat and $0.834/1M for Hy4 preview. 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 Hy4 preview?

Hy4 preview has the larger context window: 1M tokens against 128K.

Which is better for coding, GPT-5.2 Chat or Hy4 preview?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are GPT-5.2 Chat and Hy4 preview open-weight models?

GPT-5.2 Chat: API only. Hy4 preview: 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 Hy4 preview?

ModelCap currently lists 1 API provider for GPT-5.2 Chat and 1 for Hy4 preview, 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 Hy4 preview comparison?

Every figure comes from the sealed ModelCap dataset published 3 September 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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