GLM 4.5
Z.AI · text → text
GLM-4.5
Input$0.4 /M
Output$1.6 /M
← ModelsGLM 4.5
Qwen3.8 Max
GLM 4.5 vs Qwen3.8 Max
Compare GLM 4.5 from Z.AI 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.
GLM 4.5Qwen3.8 Max+ Add model · 2/4
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.
GLM 4.5
Qwen3.8 Max
Input /M
$0.4
$1.69
Output /M
$1.6
$5.07
Cache read /M
-
$0.169
Context length
131,072
1,000,000
Max output
98,304
131,072
Time to First Token
0.5 s
12.5 s
Throughput
92.8 tok/s
28.4 tok/s
Modalities
text
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
July 28, 2025
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.
glm-4.5qwen3.8-max
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
glm-4.5qwen3.8-max
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
glm-4.5qwen3.8-max
13401380142014601500
Overall
14111482
Coding
14551455
Math
14131413
Hard prompts
14331433
Instruction following
14051405
Multi-turn
14071407
Creative writing
13741374
Longer query
14171417
Chinese
14401440
English
14201420
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 4.5
$48.00 /mo
Qwen3.8 Max
$177 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GLM 4.5, Qwen3.8 Max?
GLM 4.5: $1.6/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GLM 4.5: 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 4.5 accepts 131,072 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 98,304 tokens on GLM 4.5 and 131,072 tokens on Qwen3.8 Max.
Which one generates tokens faster?
GLM 4.5 at 92.8 tok/s and Qwen3.8 Max at 28.4 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 4.5 accepts text input; 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 GLM 4.5 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.
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