Models

GLM 5.2 vs GPT 5.6 Sol

Compare GLM 5.2 from Z.AI and GPT 5.6 Sol from OpenAI 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 5.2OpenAIGPT 5.6 Sol
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
OpenAI logo
GPT 5.6 Sol
OpenAI · text, image → text

GPT‑5.6 Sol sets a new standard for both intelligence and efficiency, achieving state-of-the-art results across coding, knowledge work, cybersecurity, and science while outperforming previous and competing frontier models with fewer tokens and at lower estimated cost.

Input$4.00 /M
Output$20.00 /M

Pricing & Specifications

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

GLM 5.2
GPT 5.6 Sol
Input /M
$1.13
$4.00
Output /M
$3.94
$20.00
Cache read /M
$0.28
$4.00
Context length
1,000,000
1,050,000
Max output
128,000
128,000
Time to First Token
1.0 s
6.0 s
Throughput
36.5 tok/s
40.8 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsthinkingstructured outputs
API Formats
chat_completions · claude_api
chat_completions · responses
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-5.2gpt-5.6-sol

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-5.2gpt-5.6-sol

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-5.2gpt-5.6-sol
14201460150015401580
Overall
14701482
Coding
15051530
Math
14751486
Hard prompts
14881506
Instruction following
14621484
Multi-turn
14701491
Creative writing
14501477
Longer query
14791494
Chinese
15161547
English
14771487
WebDev Arena
glm-5.2gpt-5.6-sol
1520158016401700
Overall
15821619
React
15941625
HTML
15371618
Gaming
16171681
Simulations
16061634
Data analytics
15421568

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.

GLM 5.2
$127 /mo
GPT 5.6 Sol
$540 /mo

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

FAQ

Which is cheaper: GLM 5.2, GPT 5.6 Sol?

GLM 5.2: $3.94/M output tokens; GPT 5.6 Sol: $20.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GPT 5.6 Sol: 1530; GLM 5.2: 1505 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 1.0s 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 GPT 5.6 Sol accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 128,000 tokens on GPT 5.6 Sol.

Which one generates tokens faster?

GPT 5.6 Sol at 40.8 tok/s and GLM 5.2 at 36.5 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; GPT 5.6 Sol accepts text and image input and supports tool calling, thinking and structured outputs.

Can I call GLM 5.2 and GPT 5.6 Sol 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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