Calculate the cost of using glm-4-7-flashx from Empiriolabs for your AI applications
Pricing data last updated:
Mode: Chat
Max: 202,752 tokens
Max: 131,072 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
glm-4-7-flashx is a chat model from Empiriolabs, one of 92 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.40 per 1M output tokens, ranking 298 out of 4195 chat models by cost and cheaper than 93% of models in this category. glm-4-7-flashx supports function calling, reasoning, web search, prompt caching, structured output — one of only 11 chat models with this combination. It accepts up to 203K input tokens.
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 202,752 input tokens. The maximum output length is 131,072 tokens.
At $0.07 per 1M input tokens and $0.40 per 1M output tokens, glm-4-7-flashx ranks 298 out of 4195 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 93% of models in this category.
glm-4-7-flashx is one of 92 Empiriolabs chat models, one of only 11 chat models combining function calling, prompt caching, reasoning, structured output, web search.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs glm-4-7-flashx |
|---|---|---|---|---|
| gpt-oss-20b | Groq | $0.07 | $0.30 | +7% |
| gpt-oss-safeguard-20b | Groq | $0.07 | $0.30 | +7% |
| gpt-oss-120b | Sail | $0.06 | $0.40 | -14% |
Similar chat models from other providers
Yes. glm-4-7-flashx costs $0.07 per 1M input tokens compared to gpt-oss-20b's $0.07 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for function calling, reasoning, web search, prompt caching, structured output.
glm-4-7-flashx input pricing is $0.07 per 1M tokens, which is 88% below the median of $0.60 for chat models. It ranks 298 out of 4195 chat models by input cost, making it cheaper than 93% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $1.88.
Among Empiriolabs's 92 chat models, glm-4-7-flashx ranks 11 by input cost. Its combination of function calling, prompt caching, reasoning, structured output, web search is shared by only 10 other chat models.
The most comparable chat models to glm-4-7-flashx are: gpt-oss-20b from Groq ($0.07/1M input tokens); gpt-oss-safeguard-20b from Groq ($0.07/1M input tokens); gpt-oss-120b from Sail ($0.06/1M input tokens); gpt-oss-20b from Tensormesh ($0.07/1M 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-4-7-flashx 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 $0.07 and generating 1M output tokens costs $0.40.