← Models

GPT 5.2 High vs Qwen3.8 Max

Compare GPT 5.2 High from OpenAI and Qwen3.8 Max from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

OpenAIGPT 5.2 HighQwenQwen3.8 Max
OpenAI logo
GPT 5.2 High
OpenAI · text, image, pdf → text

GPT-5.2 supports configurable reasoning effort only through the /responses endpoint. To make higher-intensity reasoning available directly via the /chat interface, GPT-5.2-High is provided as a reasoning-enhanced variant of GPT-5.2 with reasoning_effort preset to high. It is designed for tasks that require deeper analysis, stronger result consistency, and greater controllability. By applying more aggressive reasoning strategies and more effective use of extended context, the model delivers clearer and more reliable responses, making it well suited for complex agent workflows, long-chain decision-making, and reliability-critical advanced applications.

Input$1.75 /M
Output$14 /M
Cache read$0.175 /M
Qwen logo
Qwen3.8 Max
Qwen · text, image, video → text

Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.

Input$1.69 /M
Output$5.07 /M
Cache read$0.169 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

GPT 5.2 High
Qwen3.8 Max
Input /M
$1.75
$1.69
Output /M
$14
$5.07
Cache read /M
$0.175
$0.169
Context length
400,000
1,000,000
Max output
128,000
131,072
Time to First Token
0.9 s
12.5 s
Throughput
15.8 tok/s
28.4 tok/s
Modalities
textimagepdf
textimagevideo
Supported Parameters
thinkingfunction callingwebstructured outputstools
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
August 3, 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

gpt-5.2-highqwen3.8-max

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gpt-5.2-highqwen3.8-max

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
gpt-5.2-highqwen3.8-max
13601400144014801520
Overall
14381482
Coding
14891489
Math
14581458
Hard prompts
14591459
Instruction following
14271427
Multi-turn
14431443
Creative writing
13881388
Longer query
14341434
Chinese
14711471
English
14451445
Vision
gpt-5.2-highqwen3.8-max
122012601300
Overall
12441301
OCR
12591259
Diagram
12731273
Homework
12831283

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

Qwen3.8 Max
$177 /mo
GPT 5.2 High
$315 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: GPT 5.2 High, Qwen3.8 Max?

Qwen3.8 Max: $5.07/M output tokens; GPT 5.2 High: $14/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

GPT 5.2 High: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

GPT 5.2 High accepts 400,000 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on GPT 5.2 High and 131,072 tokens on Qwen3.8 Max.

Which one generates tokens faster?

Qwen3.8 Max at 28.4 tok/s and GPT 5.2 High at 15.8 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GPT 5.2 High accepts text, image and PDF input and supports thinking, function calling, web search, structured outputs and tool calling; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call GPT 5.2 High and Qwen3.8 Max with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

Popular comparisons

Related model match-ups readers also look at.