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Qwen3.8-Flash vs GLM-5.3 Flash

Alibaba and Z.ai shipped these on the same day, August 26, 2026, at almost the same price, and they are aimed at the same buyer: whoever is tired of paying frontier rates for agentic coding. Qwen3.8-Flash runs $0.16 per million input tokens and $0.47 output on QwenCloud. GLM-5.3 Flash lists at $0.15 and $0.50, currently halved through September 9. On price they are a wash. The architectures are not. Qwen3.8-Flash is the hosted build of Qwen3.8-Flash-Next, 125 billion parameters with only 6 billion activated per token, plus a 51 billion parameter n-gram embedding table that can sit in system RAM rather than GPU memory, and it is explicitly a preview of the Qwen4 architecture. GLM-5.3 Flash is a more conventional 320 billion parameter MoE at 18 billion active with hybrid linear and sparse attention. Three times the active parameters means GLM costs more to serve per token but has more capacity per forward pass. Licensing splits them too: GLM-5.3 Flash is plain MIT, while Qwen3.8-Flash-Next ships under a custom qwen-community-1.0 license you need to read before commercial use. On the vendor tables Qwen leads the coding rows it published (SWE-bench Pro 62.5, GPQA Diamond 91.7, LiveCodeBench v6 91.9) and GLM leads the agent rows it published (DeepSWE 63.4, Toolathlon 78.4, Terminal Bench 2.1 84.3). Neither lab ran the other, so no row here is apples to apples.

Head-to-Head Specs

SpecQwen3.8-FlashGLM-5.3 Flash
ProviderAlibabaZ.ai (Zhipu AI)
Input Price$0.16/1M$0.15/1M
Output Price$0.47/1M$0.50/1M
Context Window1M1.0M
Released2026-082026-08
Capabilitiestext, vision, video, tool-use, code, reasoningtext, vision, video, tool-use, code, reasoning

Benchmark Scores

BenchmarkQwen3.8-FlashGLM-5.3 FlashWinner

See the full benchmark leaderboard for all models.

Category Breakdown

PricingTieTie

Qwen3.8-Flash is $0.16/$0.47 and GLM-5.3 Flash lists $0.15/$0.50; the difference is inside the noise of any real workload

LicenseGLM-5.3 Flash

GLM-5.3 Flash ships plain MIT weights; Qwen3.8-Flash-Next uses a custom qwen-community-1.0 license that needs reading before commercial deployment

Serving cost per tokenQwen3.8-Flash

Qwen activates 6B parameters per token against GLM at 18B, and offloads 51B of n-gram parameters to system RAM

Context windowGLM-5.3 Flash

GLM-5.3 Flash ships 1M natively; Qwen3.8-Flash-Next is 262K native and reaches 1M only through YaRN, though the hosted Cloud build defaults to 1M

Agentic tool useGLM-5.3 Flash

Z.ai reports Toolathlon 78.4 and Terminal Bench 2.1 at 84.3; Alibaba reports Toolathlon Verified 73.5 and publishes no Terminal Bench row

Software engineering benchmarksQwen3.8-Flash

Alibaba reports SWE-bench Pro 62.5 and LiveCodeBench v6 91.9 against a DeepSeek baseline; GLM published no SWE-bench Pro row at all

Computer useGLM-5.3 Flash

Qwen3.8-Flash-Next posts OSWorld 2.0 at 19.4, near a coin flip on full task success; GLM leads OfficeQA-Pro at 62.4 and Chartography at 78.0

Evidence qualityTieTie

Every score on both sides is vendor-reported on the launch post or model card, and neither lab evaluated the other

Choose Qwen3.8-Flash when:

  • Self-hosting on tight accelerator budgets where 6B active parameters matter
  • Coding workloads measured on SWE-bench Pro and LiveCodeBench
  • Teams that want an early read on the Qwen4 architecture
  • Stacks already running Qwen models on QwenCloud or vLLM
View Qwen3.8-Flash details

Choose GLM-5.3 Flash when:

  • Deployments that need unambiguous MIT terms
  • Long-context work that wants 1M natively rather than through YaRN
  • Agentic and tool-calling loops with vision in the path
  • Chart, document, and video understanding at high volume
View GLM-5.3 Flash details

Frequently Asked Questions

Which is better, Qwen3.8-Flash or GLM-5.3 Flash?

It depends on your use case. Qwen3.8-Flash from Alibaba excels at self-hosting on tight accelerator budgets where 6b active parameters matter, while GLM-5.3 Flash from Z.ai (Zhipu AI) is better for deployments that need unambiguous mit terms. See the full comparison above for detailed benchmarks and pricing.

How much does Qwen3.8-Flash cost compared to GLM-5.3 Flash?

Qwen3.8-Flash costs $0.16 input and $0.47 output per 1M tokens. GLM-5.3 Flash costs $0.15 input and $0.50 output per 1M tokens.

What is the context window difference between Qwen3.8-Flash and GLM-5.3 Flash?

Qwen3.8-Flash supports 1M tokens, while GLM-5.3 Flash supports 1.0M tokens.

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