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Head-to-head comparison

GPT-5.2 Chat vs Qwen3.8 Max

GPT-5.2 Chat (OpenAI) and Qwen3.8 Max (Qwen) 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 11 August 2026

As of 11 August 2026, Qwen3.8 Max holds the stronger ModelCap Index position (#5 vs #9); Qwen3.8 Max is 2.3× cheaper per output token ($6.00/1M vs $14.00/1M); and Qwen3.8 Max offers the longer context window (1M vs 128K tokens).

Which should you choose?

Choose GPT-5.2 Chat if…

  • your workload is prompt-heavy — input tokens cost $1.75/1M against $2.00/1M.

Choose Qwen3.8 Max if…

  • you want the stronger overall ModelCap Index position — #5 against #9 (78.4 vs 74.1 points).
  • API cost matters — $6.00/1M output tokens against $14.00/1M, about 2.3× cheaper.
  • you need the longer context window — 1M tokens against 128K.
  • Arena text is your yardstick — 1491 against 1476.
  • Arena coding is your yardstick — 1528 against 1515.
  • you want the more recently listed model — Qwen3.8 Max was listed 3 August 2026, GPT-5.2 Chat 10 December 2025.

GPT-5.2 Chat vs Qwen3.8 Max: specs, pricing and context

Specification comparison of GPT-5.2 Chat and Qwen3.8 Max
FieldGPT-5.2 ChatOpenAIQwen3.8 MaxQwen
ModelCap Index position#9#5
Index score74.178.4
EvidenceMeasuredMeasured
Input price / 1M tokens$1.75$2.00
Output price / 1M tokens$14.00$6.00
Context window128K tokens1M tokens
Max output tokens32K131K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesFile, Image, TextText, Image, Video
First listed10 December 20253 August 2026
PublisherOpenAIQwen

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

Benchmark scores: GPT-5.2 Chat vs Qwen3.8 Max

Public benchmark boards where GPT-5.2 Chat or Qwen3.8 Max has a published result
BoardGPT-5.2 ChatQwen3.8 MaxLeads
Arena textArena (LMArena)14761472–148014911483–1499Qwen3.8 Max
Arena codingArena (LMArena)15151508–152215281515–1542Qwen3.8 Max

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 Qwen3.8 Max: common questions

Is GPT-5.2 Chat better than Qwen3.8 Max?

Qwen3.8 Max ranks higher on the ModelCap Index as of 11 August 2026: #5 against #9. 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 Qwen3.8 Max?

Qwen3.8 Max is cheaper on output tokens: $6.00/1M against $14.00/1M. Input tokens are $1.75/1M for GPT-5.2 Chat and $2.00/1M for Qwen3.8 Max. 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 Qwen3.8 Max?

Qwen3.8 Max has the larger context window: 1M tokens against 128K.

Which is better for coding, GPT-5.2 Chat or Qwen3.8 Max?

Arena coding: GPT-5.2 Chat 1515, Qwen3.8 Max 1528 — Qwen3.8 Max leads.

Are GPT-5.2 Chat and Qwen3.8 Max open-weight models?

GPT-5.2 Chat: API only. Qwen3.8 Max: API only. 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 Qwen3.8 Max?

ModelCap currently lists 1 API provider for GPT-5.2 Chat and 1 for Qwen3.8 Max, 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 Qwen3.8 Max comparison?

Every figure comes from the sealed ModelCap dataset published 11 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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