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multimodal model comparison

GLM-5.3-Flash vs Qwen3.8-Omni-Flash

GLM-5.3-Flash and Qwen3.8-Omni-Flash are both current multimodal models, from Z.ai and Alibaba Qwen. Both cost $0.15 per 1M input tokens. Both accept 1,000,000 tokens of context.

Data verified October 13, 2026 · Dataset 2026-10-13

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Side by side

Standard-tier prices in effect today. The better value in each row is highlighted.

FactGLM-5.3-FlashQwen3.8-Omni-Flash
Price per 1M input tokens$0.15$0.15
Price per 1M output tokens$0.50$0.47 (better)
Cost of 10M input and 2M output tokens$2.50$2.44 (better)
Arena Text1475 Elo (#21 of 49)Not measured
GPQA Diamond90.2% (#27 of 40)Not measured
FrontierMath Tiers 1-3 (v2)55.8% (#31 of 40)Not measured
ProviderZ.aiAlibaba Qwen
Release dateAugust 26, 2026September 20, 2026
AccessAPI and open weightsAPI only
Context window1,000,000 tokens1,000,000 tokens
Max output128,000 tokens131,072 tokens
Inputtext, image, videotext, image, audio, video
Outputtexttext

Scores:Arena · 2026-10-12Epoch AI · 2026-10-12

When to choose each

GLM-5.3-Flash

Best for

  • Low-cost coding from screenshots or screen recordings
  • Document and research agents on a budget

Watch out for

  • Thinking cannot be disabled
  • A faster GLM-5.3-FlashX is a separate model id at $0.37 input and $1.25 output per 1M tokens
Full GLM-5.3-Flash profile

Qwen3.8-Omni-Flash

Best for

  • Long audio and video understanding at low cost
  • Agent pipelines that must reason over meetings, calls or recorded media

Watch out for

  • Output is text only; for spoken replies Alibaba lists a separate realtime variant
  • Alibaba's comparisons with Gemini 3.8 Flash are self-reported and have not been reproduced independently here
  • The release date is the Alibaba Cloud announcement date, 2026-09-20
Full Qwen3.8-Omni-Flash profile

GLM-5.3-Flash vs Qwen3.8-Omni-Flash FAQ

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

Both cost $0.15 per 1M input tokens. For 10M input and 2M output tokens, GLM-5.3-Flash costs $2.50 and Qwen3.8-Omni-Flash $2.44 at standard rates.

Which has the larger context window, GLM-5.3-Flash or Qwen3.8-Omni-Flash?

Both accept 1,000,000 tokens of context.

Can I run GLM-5.3-Flash or Qwen3.8-Omni-Flash myself?

GLM-5.3-Flash is released as open weights you can run yourself; Qwen3.8-Omni-Flash is available through its provider's API only.

Production evaluation

Choosing between GLM-5.3-Flash and Qwen3.8-Omni-Flash?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty