Models

GLM 5.2 vs Qwen3 Next 80B A3B Thinking

Compare GLM 5.2 from Z.AI and Qwen3 Next 80B A3B Thinking 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.

Z.AIGLM 5.2QwenQwen3 Next 80B A3B Thinking
Z.AI logo
GLM 5.2
Z.AI · text → text

GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.

Input$1.13 /M
Output$3.94 /M
Qwen logo
Qwen3 Next 80B A3B Thinking
Qwen · text, image → text

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that excels by outputting structured 'thinking' traces (Chain-of-Thought) by default. Designed for hard, multi-step problems, it is ideal for tasks like math proofs, code synthesis, logic puzzles, and agentic planning. Compared to other Qwen3 variants, it offers greater stability during long reasoning chains and is tuned to follow complex instructions without getting repetitive or off-task. This model is perfectly suited for agent frameworks, tool use (function calling), and benchmarks where a step-by-step breakdown is required. It leverages throughput-oriented techniques for fast generation of detailed, procedural outputs.

Input$0.14 /M
Output$1.42 /M

Pricing & Specifications

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

GLM 5.2
Qwen3 Next 80B A3B Thinking
Input /M
$1.13
$0.14
Output /M
$3.94
$1.42
Cache read /M
$0.28
$0.14
Context length
1,000,000
256,000
Max output
128,000
256,000
Time to First Token
1.1 s
0.5 s
Throughput
37.7 tok/s
211.9 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
June 16, 2026
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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.

glm-5.2qwen3-next-80b-a3b-thinking

Tokens / day

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Requests / day

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Performance Past 3 Days

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

glm-5.2qwen3-next-80b-a3b-thinking

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

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

Text
glm-5.2qwen3-next-80b-a3b-thinking
13001360142014801540
Overall
13701470
Coding
14211505
Math
13901475
Hard prompts
13841488
Instruction following
13591462
Multi-turn
13501470
Creative writing
13241450
Longer query
13691479
Chinese
14141516
English
13871477

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 Next 80B A3B Thinking
$29.82 /mo
GLM 5.2
$127 /mo

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

FAQ

Which is cheaper: GLM 5.2, Qwen3 Next 80B A3B Thinking?

Qwen3 Next 80B A3B Thinking: $1.42/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1505; Qwen3 Next 80B A3B Thinking: 1421 (LMArena coding leaderboard).

Which responds faster?

Qwen3 Next 80B A3B Thinking: 0.5s 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?

GLM 5.2 accepts 1,000,000 and Qwen3 Next 80B A3B Thinking accepts 256,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 256,000 tokens on Qwen3 Next 80B A3B Thinking.

Which one generates tokens faster?

Qwen3 Next 80B A3B Thinking at 211.9 tok/s and GLM 5.2 at 37.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Qwen3 Next 80B A3B Thinking accepts text and image input and supports thinking, tool calling, function calling and structured outputs.

Can I call GLM 5.2 and Qwen3 Next 80B A3B Thinking 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.

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