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Dagon Inference / Pricing / GLM-5.3 Flash

GLM-5.3 Flash API

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Dagon Inference serves GLM-5.3 Flash through an OpenAI compatible API at https://inference.dagon.so/v1 and the Anthropic Messages API at https://inference.dagon.so/v1/messages, as model id glm-5.3-flash. It is a model with standard refusal behavior: it declines many requests that abliterated models answer. It costs $0.088 per million input tokens, $0.0374 per million cached input tokens and $0.462 per million output tokens, with a 1,048,576 token context window, up to 65,536 output tokens per request and text and image input. 2 providers serve it: Lutheos and Cheaper Inference.

What does GLM-5.3 Flash cost?

TokensPrice per 1M
Input$0.088
Cached input$0.0374
Output$0.462

A request with 10,000 input tokens and 1,000 output tokens costs 1,342 µ$, about $0.0013.

Prices are Lutheos's, the provider with the lowest typical cost for this model, plus the 10% markup, at price version 2026-11-11.4. A request that falls back to another provider is billed at that provider's rate plus the markup; its signed receipt names the provider. Every model: pricing, models.json, live /v1/models.

Which providers serve it, and at what price?

Ranked by typical cost per 1M tokens, weighted 3:1 input to output, as of this build. The live order at /v1/models weighs this model's own traffic when it has enough.

ProviderInputCachedOutputTypicalQuantizationContextMax outputEndpoints
Lutheos (cheapest)$0.088$0.0374$0.462$0.1815Not published1,000,00065,536Chat, Messages
Cheaper Inference$0.1478$0.0296$0.4928$0.2341Not published1,048,57665,536Chat, Responses, Messages

US dollars per million tokens. Prices include the 10% markup. Each request goes to the cheapest healthy provider for that request's size, so this order is typical, not a guarantee.

What is it?

GLM-5.3 Flash on standard weights. It keeps the base model's refusal behavior; for refusals removed, use GLM-5.3 Flash Abliterated (glm-5.3-flash-abliterated). Text and image input, 1M context. Standard refusals

  • Model id: glm-5.3-flash
  • Refusals: standard
  • Context window: 1,048,576 tokens
  • Maximum output: 65,536 tokens per request (default cap 16,384)
  • Input: text and image input
  • Endpoints: /v1/chat/completions, /v1/responses, /v1/messages
  • Providers: Lutheos and Cheaper Inference

We have not benchmarked it and make no claims about its quality. Individual requests may still be declined or answered poorly.

How do I call it?

Create a key with curl -X POST https://inference.dagon.so/v1/keys or in the console, fund it in USDC, then:

curl https://inference.dagon.so/v1/chat/completions \
  -H "Authorization: Bearer $DAGON_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "glm-5.3-flash", "messages": [{"role": "user", "content": "Hello"}]}'

With an OpenAI SDK, set the base URL to https://inference.dagon.so/v1 and the model to glm-5.3-flash. With an Anthropic SDK, use https://inference.dagon.so as the base URL; the Anthropic Messages guide has the details. The SDK guide has more examples.

Other models

  • GLM-5.3 Abliterated · Refuseless, Experiential Labs, Silk Compute (glm-5.3-abliterated): $1.10 input, $2.20 output per 1M tokens
  • DeepSeek V4.1 Flash Abliterated · Refuseless, Experiential Labs, Lutheos, Silk Compute (deepseek-v4.1-flash-abliterated): $0.11 input, $0.44 output per 1M tokens
  • GLM-5.3 Flash Abliterated · Refuseless, Experiential Labs, Silk Compute (glm-5.3-flash-abliterated): $0.132 input, $0.55 output per 1M tokens
  • Abliterated Large Flash · abliteration.ai (abliterated-model-large-flash): $1.10 input, $2.20 output per 1M tokens
  • Abliterated Model · abliteration.ai (abliterated-model): $1.10 input, $3.30 output per 1M tokens
  • Abliterated Large v2 · abliteration.ai (abliterated-model-large-v2): $3.30 input, $5.50 output per 1M tokens
  • Kimi K3.1 Pro Abliterated · Silk Compute (kimi-k3.1-pro-abliterated): $5.50 input, $16.50 output per 1M tokens
  • DeepSeek V4.1 Flash Fast · Refuseless (deepseek-v4.1-flash-fast): $0.011 input, $0.088 output per 1M tokens
  • MiniMax M3.1 Flash · Refuseless (minimax-m3.1-flash): $0.022 input, $0.088 output per 1M tokens
  • DeepSeek V4.1 Flash · Silk Compute (deepseek-v4.1-flash): $0.022 input, $0.176 output per 1M tokens
  • Kimi K3.1 Pro · Refuseless, Silk Compute (kimi-k3.1-pro): $0.275 input, $2.75 output per 1M tokens
  • Hy4 · Silk Compute (hy4): $1.76 input, $3.52 output per 1M tokens

Common questions

Which API serves GLM-5.3 Flash?

Dagon Inference serves it as glm-5.3-flash at the OpenAI compatible base URL https://inference.dagon.so/v1 (Anthropic SDKs: https://inference.dagon.so), routing each request to the cheapest healthy one of Lutheos and Cheaper Inference. It costs $0.088 per million input tokens, $0.0374 per million cached input tokens and $0.462 per million output tokens, paid in USDC from a prepaid key or per request with x402.

What does GLM-5.3 Flash cost per million tokens?

$0.088 per million input tokens, $0.0374 per million cached input tokens and $0.462 per million output tokens (model id glm-5.3-flash), including the 10% markup, at price version 2026-11-11.4.

What is the context window of GLM-5.3 Flash?

1,048,576 tokens, with up to 65,536 output tokens per request through Dagon Inference.

Which providers serve glm-5.3-flash?

Lutheos and Cheaper Inference. Each request goes to the cheapest healthy one for that request's size, with fallback to the next cheapest if it fails before any output.

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