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GLM 5.3 Flash vs Qwen3.8 Flash

Compare GLM 5.3 Flash from Z.AI and Qwen3.8 Flash 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 5.3 FlashQwenQwen3.8 Flash
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Z.AI logo
GLM 5.3 Flash
Z.AI · text, image, video → text

GLM-5.3-Flash is a high-efficiency multimodal model from Z.AI. It supports a context window of roughly 1 million tokens, along with text, image, and video inputs, and includes tool-calling capabilities. It is primarily designed for coding agents, complex reasoning, and long-horizon software engineering tasks. Built on the existing GLM technology stack, the model has been further post-trained and optimized to deliver strong performance while placing greater emphasis on inference efficiency, responsiveness, and cost.The model is offered at a limited-time 50% discount; users are welcome to try it.

Input$0.1127 /M
Output$0.3944 /M
Cache read$0.0282 /M
Details
Qwen logo
Qwen3.8 Flash
Qwen · text, image, video → text

Qwen3.8 Flash is Alibaba Cloud Qwen’s flagship native vision-language model for coding, office tasks, long-context reasoning, and agent workflows. It supports a 1M-token context, 128K output, web access, and tool calling. Compared with Qwen3.7-Plus, Qwen3.8-Flash significantly reduces training and inference costs—the training overhead is only about one-ninth of the former—while offering stronger capabilities on coding and office tasks.

Input$0.1126 /M
Output$0.38 /M
Cache read$0.0141 /M
Details

Pricing & Specifications

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

GLM 5.3 Flash
Qwen3.8 Flash
Input /M
$0.1127
$0.1126
Output /M
$0.3944
$0.38
Cache read /M
$0.0282
$0.0141
Context length
1,048,576
1,000,000
Max output
131,072
131,072
Time to First Token
1.3 s
15.5 s
Throughput
44.2 tok/s
41.3 tok/s
Modalities
textimagevideo
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
August 26, 2026
August 26, 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-5.3-flashqwen3.8-flash

Tokens / day

-

Requests / day

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Performance Past 3 Days

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

glm-5.3-flashqwen3.8-flash

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
glm-5.3-flashqwen3.8-flash
1340140014601520
Overall
14361474
Coding
14941534
Math
14601475
Hard prompts
14601496
Instruction following
14301465
Multi-turn
14461466
Creative writing
13701431
Longer query
14531477
Chinese
14991532
English
14431475
Vision
glm-5.3-flashqwen3.8-flash
1220126013001340
Overall
12511273
OCR
12641284
Diagram
12711308
Homework
12601260
WebDev Arena
glm-5.3-flashqwen3.8-flash
1520158016401700
Overall
15911605
React
15971631
HTML
15351575
Gaming
16391665
Simulations
15791635
Data analytics
15421543

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 Flash
$12.46 /mo
GLM 5.3 Flash
$12.68 /mo

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

FAQ

Which is cheaper: GLM 5.3 Flash, Qwen3.8 Flash?

Qwen3.8 Flash: $0.38/M output tokens; GLM 5.3 Flash: $0.3944/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.3 Flash: 1534; Qwen3.8 Flash: 1494 (LMArena coding leaderboard).

Which responds faster?

GLM 5.3 Flash: 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 5.3 Flash accepts 1,048,576 and Qwen3.8 Flash accepts 1,000,000 input tokens. Maximum output per request is 131,072 tokens on GLM 5.3 Flash and 131,072 tokens on Qwen3.8 Flash.

Which one generates tokens faster?

GLM 5.3 Flash at 44.2 tok/s and Qwen3.8 Flash at 41.3 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 5.3 Flash accepts text, image and video input and supports thinking, tool calling, function calling and structured outputs; Qwen3.8 Flash accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call GLM 5.3 Flash and Qwen3.8 Flash 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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