Calculate the cost of using glm-5.3-flash-abliterated from Refuseless for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 131,072 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
glm-5.3-flash-abliterated is a chat model from Refuseless, one of 5 chat models they offer. It is priced at $0.12 per 1M input tokens and $0.50 per 1M output tokens, ranking 634 out of 4040 chat models by cost and cheaper than 84% of models in this category. glm-5.3-flash-abliterated supports function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 15% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens. The maximum output length is 131,072 tokens.
At $0.12 per 1M input tokens and $0.50 per 1M output tokens, glm-5.3-flash-abliterated ranks 634 out of 4040 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 84% of models in this category.
glm-5.3-flash-abliterated is one of 5 Refuseless chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 15% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs glm-5.3-flash-abliterated |
|---|---|---|---|---|
| gpt-6-luna | Azure | $0.10 | $0.50 | -17% |
| gpt-6-luna-2026-09-22 | Azure | $0.10 | $0.50 | -17% |
| qwen3.8-flash | Dashscope | $0.15 | $0.47 | +25% |
Similar chat models from other providers
No. glm-5.3-flash-abliterated costs $0.12 per 1M input tokens while gpt-6-luna costs $0.10 per 1M input tokens, making gpt-6-luna 17% more affordable for input. However, glm-5.3-flash-abliterated may offer different capabilities or performance characteristics that justify the price difference.
glm-5.3-flash-abliterated input pricing is $0.12 per 1M tokens, which is 80% below the median of $0.60 for chat models. It ranks 634 out of 4040 chat models by input cost, making it cheaper than 84% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.80.
Among Refuseless's 5 chat models, glm-5.3-flash-abliterated ranks 3 by input cost.
The most comparable chat models to glm-5.3-flash-abliterated are: gpt-6-luna from Azure ($0.10/1M input tokens); gpt-6-luna-2026-09-22 from Azure ($0.10/1M input tokens); qwen3.8-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Dashscope ($0.15/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
glm-5.3-flash-abliterated supports up to 1,048,576 input tokens, placing it in the top 15% of chat models by context window size (rank 389 of 3774). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
glm-5.3-flash-abliterated is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.12 and generating 1M output tokens costs $0.50.