LiteLLMLiteLLM/ MODELS

GLM 5.3 Flash vs Qwen3.8 Omni Flash

As of November 12, 2026, GLM 5.3 Flash and Qwen3.8 Omni Flash cost the same per input token ($0.15 per 1M), but GLM 5.3 Flash costs 6% more per output token ($0.50 vs $0.47) and has a 1M-token context window versus 992K.

Prices from LiteLLM's price fileChecked

GLM 5.3 Flash vs Qwen3.8 Omni Flash side by side

Headline prices in US dollars per 1M tokens: each model's own lab where it sells it, otherwise its cheapest provider. Source: LiteLLM model price file, as of November 12, 2026.
GLM 5.3 FlashQwen3.8 Omni Flash
Input, per 1M tokens$0.15$0.15
Output, per 1M tokens$0.50$0.47
Cache read, per 1M tokens$0.03$0.016
Cache write, per 1M tokens$0–
Context window1,048,576 tokens991,808 tokens
Max output128,000 tokens131,072 tokens
Image inputYesYes
Tool callingYesYes
Structured output (JSON)YesYes
Prompt cachingYesYes
ReasoningYesYes
Providers on LiteLLM243
Price shown is fromZ.aiAlibaba Cloud Model Studio
Added to LiteLLMAugust 27, 2026September 18, 2026

Cheapest provider for each

When to pick which

Pick GLM 5.3 Flash for

  • Available from 24 providers through LiteLLM, vs 3.

Pick Qwen3.8 Omni Flash for

  • Costs 6% less per output token: $0.47 vs $0.50 per 1M.

From differences in the data above only; where the data is equal, no reason is given.

Call GLM 5.3 Flash or Qwen3.8 Omni Flash with LiteLLM

Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.

Python SDK
from litellm import completion

messages = [{"role": "user", "content": "Hello!"}]

# GLM 5.3 Flash
response = completion(model="zai/glm-5.3-flash", messages=messages)

# Qwen3.8 Omni Flash
response = completion(model="dashscope/qwen3.8-omni-flash", messages=messages)

# GLM 5.3 Flash, falling back to Qwen3.8 Omni Flash if the call fails
response = completion(model="zai/glm-5.3-flash", messages=messages, fallbacks=["dashscope/qwen3.8-omni-flash"])

FAQ

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

Qwen3.8 Omni Flash is cheaper at 3 input tokens per output token: $0.23 per 1M tokens blended ($0.15 input, $0.47 output), versus $0.2375 ($0.15 and $0.50) for GLM 5.3 Flash, as of November 12, 2026.

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

GLM 5.3 Flash has the larger context window: 1,048,576 tokens, versus 991,808 for Qwen3.8 Omni Flash.

Can I switch from GLM 5.3 Flash to Qwen3.8 Omni Flash without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "zai/glm-5.3-flash" to "dashscope/qwen3.8-omni-flash", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.