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GLM 5.3 Flash vs Qwen3.8 Max

Compare GLM 5.3 Flash 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 5.3 FlashQwenQwen3.8 Max
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
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 5.3 Flash
Qwen3.8 Max
Input /M
$0.1127
$1.69
Output /M
$0.3944
$5.07
Cache read /M
$0.0282
$0.169
Context length
1,048,576
1,000,000
Max output
131,072
131,072
Time to First Token
1.4 s
25.3 s
Throughput
44.6 tok/s
23.7 tok/s
Modalities
textimagevideo
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
August 26, 2026
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-5.3-flashqwen3.8-max

Tokens / day

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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-max

Throughput (tok/s)

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TTFT (s)

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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-max
14001440148015201560
Overall
14741480
Coding
15201534
Math
14751497
Hard prompts
14961502
Instruction following
14651477
Multi-turn
14661493
Creative writing
14311466
Longer query
14771492
Chinese
15321536
English
14751488
Vision
glm-5.3-flashqwen3.8-max
1240128013201360
Overall
12731300
OCR
12841315
Diagram
13081326
Homework
13341334
WebDev Arena
glm-5.3-flashqwen3.8-max
15201580164017001760
Overall
16051670
React
16311679
HTML
15351626
Gaming
16651736
Simulations
16351667
Data analytics
15421615

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 5.3 Flash
$12.68 /mo
Qwen3.8 Max
$177 /mo

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

FAQ

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

GLM 5.3 Flash: $0.3944/M output tokens; Qwen3.8 Max: $5.07/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 Max: 1520 (LMArena coding leaderboard).

Which responds faster?

GLM 5.3 Flash: 1.4s 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 Max 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 Max.

Which one generates tokens faster?

GLM 5.3 Flash at 44.6 tok/s and Qwen3.8 Max at 23.7 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 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 5.3 Flash 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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