Models

GLM 4.7 vs Qwen3.8 Max Preview

Output tokens cost $1.10 per million on GLM 4.7 and $1.01 per million on Qwen3.8 Max Preview. Input tokens cost $0.27 per million on GLM 4.7 and $0.34 per million on Qwen3.8 Max Preview. Cached input tokens are billed at $0.05 per million on GLM 4.7 and $0.03 per million on Qwen3.8 Max Preview. Context lengths are 200,000 tokens on GLM 4.7 and 983,616 tokens on Qwen3.8 Max Preview. Time to first token (TTFT) measured on AIHubMix is 2.0s on GLM 4.7 and 2.4s on Qwen3.8 Max Preview. Measured output throughput is 42.4 tok/s on GLM 4.7 and 48.1 tok/s on Qwen3.8 Max Preview. On the LMArena coding leaderboard GLM 4.7 scores 1485 and Qwen3.8 Max Preview scores 1520.

Z.AIGLM 4.7QwenQwen3.8 Max Preview
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$0.27 /M
Output$1.10 /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 4.7
Qwen3.8 Max Preview
Input /M
$0.27
$0.34
Output /M
$1.10
$1.01
Cache read /M
$0.05
$0.03
Context length
200,000
983,616
Max output
128,000
131,072
Time to First Token
2.0 s
2.4 s
Throughput
42.4 tok/s
48.1 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
-

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-preview

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-preview

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-preview
1380144015001560
Overall
14421481
Coding
14851520
Math
14281504
Hard prompts
14631506
Instruction following
14281478
Multi-turn
14591496
Creative writing
14061469
Longer query
14521497
Chinese
14871545
English
14631486
WebDev Arena
glm-4.7qwen3.8-max-preview
1420152016201720
Overall
14401669
React
14371678
HTML
14491628
Gaming
17331733
Simulations
16651665
Data analytics
16141614

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 Preview
$35.49 /mo

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

FAQ

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

Qwen3.8 Max Preview: $1.01/M output tokens; GLM 4.7: $1.10/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Qwen3.8 Max Preview: 1520; GLM 4.7: 1485 (LMArena coding leaderboard).

Which responds faster?

GLM 4.7: 2.0s 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 4.7 accepts 200,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 128,000 tokens on GLM 4.7 and 131,072 tokens on Qwen3.8 Max Preview.

Which one generates tokens faster?

Qwen3.8 Max Preview at 48.1 tok/s and GLM 4.7 at 42.4 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 4.7 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 4.7 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.

Popular comparisons

Related model match-ups readers also look at.