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GLM 4.7 vs Qwen3.8 Max

Compare GLM 4.7 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.

Z.AIGLM 4.7QwenQwen3.8 Max
Z.AI logo
GLM 4.7
Z.AI · text → text

GLM-4.7 is Zhiyuan's latest flagship model. GLM-4.7 enhances coding capabilities, long-range task planning, and tool collaboration for Agentic Coding scenarios, achieving leading performance among open-source models on several current public benchmarks. It features improved general capabilities, with responses that are more concise and natural, and writing that is more immersive. When executing complex agent tasks and tool usage, it follows instructions more strictly, with further improvements in the frontend aesthetics of Artifacts and Agentic Coding as well as the efficiency of completing long-range tasks.

Input$0.274 /M
Output$1.0959 /M
Cache read$0.0548 /M
Qwen logo
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 4.7
Qwen3.8 Max
Input /M
$0.274
$1.69
Output /M
$1.0959
$5.07
Cache read /M
$0.0548
$0.169
Context length
200,000
1,000,000
Max output
131,072
131,072
Time to First Token
-
12.5 s
Throughput
-
28.4 tok/s
Modalities
text
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
December 22, 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-4.7qwen3.8-max

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

glm-4.7qwen3.8-max

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
glm-4.7qwen3.8-max
1380142014601500
Overall
14421482
Coding
14851485
Math
14281428
Hard prompts
14631463
Instruction following
14281428
Multi-turn
14591459
Creative writing
14061406
Longer query
14521452
Chinese
14871487
English
14631463
WebDev Arena
glm-4.7qwen3.8-max
1420150015801660
Overall
14401672
React
14371437
HTML
14491449

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 4.7
$32.88 /mo
Qwen3.8 Max
$177 /mo

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

FAQ

Which is cheaper: GLM 4.7, Qwen3.8 Max?

GLM 4.7: $1.0959/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.

How large is each context window?

GLM 4.7 accepts 200,000 and Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 131,072 tokens on GLM 4.7 and 131,072 tokens on Qwen3.8 Max.

What inputs and capabilities does each model support?

GLM 4.7 accepts text input and supports thinking, tool calling, function calling and structured outputs; 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 4.7 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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