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Alicloud Glm 5 vs Qwen3.8 Max Preview

Compare Alicloud Glm 5 from Z.AI and Qwen3.8 Max Preview 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.AIAlicloud Glm 5QwenQwen3.8 Max Preview
Z.AI logo
Alicloud Glm 5
Z.AI · → text

GLM-5 is an advanced, open-source large language model designed for developers tackling the toughest challenges. It excels at long-context reasoning, multi-step tool orchestration, and complex systems engineering, making it the ideal choice for powering sophisticated agents and applications that require high-level cognitive tasks.

Input$0.5634 /M
Output$2.5353 /M
Cache read$0.1127 /M
Qwen logo
Qwen3.8 Max Preview
Qwen · text, image, video → text

Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.

Input$0.338 /M
Output$1.014 /M
Cache read$0.0338 /M

Pricing & Specifications

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

Alicloud Glm 5
Qwen3.8 Max Preview
Input /M
$0.5634
$0.338
Output /M
$2.5353
$1.014
Cache read /M
$0.1127
$0.0338
Context length
0
1,000,000
Max output
0
131,072
Time to First Token
2.0 s
2.4 s
Throughput
54.7 tok/s
48.1 tok/s
Modalities
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
July 19, 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.

alicloud-glm-5qwen3.8-max-preview

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

alicloud-glm-5qwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
alicloud-glm-5qwen3.8-max-preview
1420146015001540
Overall
14571480
Coding
14981520
Math
14431497
Hard prompts
14781502
Instruction following
14471477
Multi-turn
14731493
Creative writing
14461466
Longer query
14701492
Chinese
15241536
English
14711488
WebDev Arena
alicloud-glm-5qwen3.8-max-preview
1400150016001700
Overall
14301670
React
14211679
HTML
14431626
Gaming
17361736
Simulations
16671667
Data analytics
16151615

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 Preview
$35.49 /mo
Alicloud Glm 5
$71.83 /mo

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

FAQ

Which is cheaper: Alicloud Glm 5, Qwen3.8 Max Preview?

Qwen3.8 Max Preview: $1.014/M output tokens; Alicloud Glm 5: $2.5353/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Qwen3.8 Max Preview: 1520; Alicloud Glm 5: 1498 (LMArena coding leaderboard).

Which responds faster?

Alicloud Glm 5: 2.0s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

Which one generates tokens faster?

Alicloud Glm 5 at 54.7 tok/s and Qwen3.8 Max Preview at 48.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

Can I call Alicloud Glm 5 and Qwen3.8 Max Preview 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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