Models

glm-5 vs qwen3.8-max-preview

Output tokens cost $2.82 per million on glm-5 and $1.01 per million on qwen3.8-max-preview. Input tokens cost $0.88 per million on glm-5 and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $0.18 per million on glm-5 and $0.03 per million on qwen3.8-max-preview. Context lengths are 202,752 tokens on glm-5 and 983,616 tokens on qwen3.8-max-preview. Time to first token (TTFT) measured on AIHubMix is 1.3s on glm-5 and 2.4s on qwen3.8-max-preview. Measured output throughput is 39.4 tok/s on glm-5 and 48.1 tok/s on qwen3.8-max-preview. On the LMArena coding leaderboard glm-5 scores 1498 and qwen3.8-max-preview scores 1529.

Z.AIglm-5Qwenqwen3.8-max-preview
Z.AI logo
glm-5
Z.AI · text → 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$0.88 /M
Output$2.82 /M
Qwen logo
qwen3.8-max-preview
Qwen · text, image → 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$0.34 /M
Output$1.01 /M

Pricing & Specifications

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

glm-5
qwen3.8-max-preview
Input /M
$0.88
$0.34
Output /M
$2.82
$1.01
Cache read /M
$0.18
$0.03
Context length
202,752
983,616
Max output
0
131,072
Time to First Token
1.3 s
2.4 s
Throughput
39.4 tok/s
48.1 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats

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-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.

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
glm-5qwen3.8-max-preview
14201460150015401580
Overall
14571491
Coding
14981529
Math
14431513
Hard prompts
14781516
Instruction following
14471481
Multi-turn
14731503
Creative writing
14461479
Longer query
14701507
Chinese
15241556
English
14711495
WebDev Arena
glm-5qwen3.8-max-preview
1400150016001700
Overall
14301669
React
14211677
HTML
14431628
Gaming
17341734
Simulations
16621662
Data analytics
16191619

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
glm-5
$95.04 /mo

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

FAQ

Which is cheaper: glm-5, qwen3.8-max-preview?

qwen3.8-max-preview: $1.01/M output tokens; glm-5: $2.82/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

qwen3.8-max-preview: 1529; glm-5: 1498 (LMArena coding leaderboard).

Which responds faster?

glm-5: 1.3s 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 accepts 202,752 and qwen3.8-max-preview accepts 983,616 input tokens.

Which one generates tokens faster?

qwen3.8-max-preview at 48.1 tok/s and glm-5 at 39.4 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 accepts text input and supports thinking, tool calling, function calling and structured outputs; qwen3.8-max-preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call 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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