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DeepSeek-V4.1-Flash vs GLM-5.3

deepseek-v4-1-flashglm-5.3
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DeepSeek-V4.1-Flash costs $0.209351 per 1M input tokens and $0.837404 per 1M output tokens, with a 1M-token context window; GLM-5.3 costs $0.976972 per 1M input tokens and $3.070483 per 1M output tokens, with a 1M-token context window.

Side by side

Prices in US dollars; limits and capabilities as published by each model’s provider.

DeepSeek-V4.1-Flash and GLM-5.3 side by side
SpecDeepSeek-V4.1-FlashGLM-5.3
Input/ 1M tokens$0.209351$0.976972
Output/ 1M tokens$0.837404$3.070483
Cache read/ 1M tokens$0.004187$0.181438
Cache write/ 1M tokens$0$0
Discount30% offList price $0.30 / $1.2030% offList price $1.40 / $4.40
Contexttokens1M1M
Max outputtokens384K128K
Input typestext, imagetext
Output typestexttext
Released2026-09-102026-08-18
Tokens, last 7 daystokens82M—
Endpoints/v1/chat/completions/v1/responses/v1/chat/completions/v1/responses

Same workload

One workload of 1,000,000 input and 200,000 output tokens, priced at each model’s current rates.

DeepSeek-V4.1-Flash
$0.3768$0.2094 input + $0.1675 output
GLM-5.3
$1.5911$0.977 input + $0.6141 output

For this workload, DeepSeek-V4.1-Flash costs $1.2142 less than GLM-5.3.

Same code

Only the model field changes.

curl https://api.cheapaimodel.ai/v1/chat/completions \
  -H "Authorization: Bearer $CHEAPAIMODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-1-flash",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

When to choose which

Differences in the published specs, then each provider’s own description.

  • DeepSeek-V4.1-Flash has the lower input price ($0.209351 vs $0.976972 per 1M tokens).
  • DeepSeek-V4.1-Flash has the lower output price ($0.837404 vs $3.070483 per 1M tokens).
  • DeepSeek-V4.1-Flash accepts image input; GLM-5.3 doesn’t.
  • DeepSeek-V4.1-Flash was released more recently (2026-09-10 vs 2026-08-18).
  • DeepSeek-V4.1-Flash can return more output in one response (384K vs 128K tokens).

About DeepSeek-V4.1-Flash

The smallest model in DeepSeek's new architecture family, with native image understanding. It runs in thinking mode by default and also offers a non-thinking mode; DeepSeek reports it outperforms its earlier DeepSeek-V4-Pro flagship on benchmarks.

About GLM-5.3

Z.ai's flagship GLM model for complex software engineering and agentic work. It keeps GLM-5.2's base model, with post-training gains in coding, long-horizon tasks and cybersecurity, and currently accepts text input only.

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