--- title: "zai.glm-4.7-flash Cost Calculator - Bedrock Mantle" description: "Calculate the cost of using zai.glm-4.7-flash from Bedrock Mantle. Input costs $0.07 and output $0.40 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/zai.glm-4.7-flash" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/zai.glm-4.7-flash.md" --- # zai.glm-4.7-flash Cost Calculator - Bedrock Mantle > Calculate the cost of using zai.glm-4.7-flash from Bedrock Mantle. Input costs $0.07 and output $0.40 per 1M tokens. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About zai.glm-4.7-flash zai.glm-4.7-flash is a chat model from Bedrock Mantle, one of 81 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.40 per 1M output tokens, ranking 280 out of 3639 chat models by cost and cheaper than 92% of models in this category. zai.glm-4.7-flash supports function calling. Its 203K-token context window is in the top 45% among chat models. ## Pricing Published Bedrock Mantle pricing for zai.glm-4.7-flash. - **$0.07 / 1M tokens Input.** - **$0.40 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **203,000 Max Input Tokens.** - **4,000 Max Output Tokens.** - **4,000 Max Tokens.** ## Model Capabilities zai.glm-4.7-flash supports: Function Calling, Tool Choice. ## How Pricing Compares At $0.07 per 1M input tokens and $0.40 per 1M output tokens, zai.glm-4.7-flash ranks 280 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 92% of models in this category. zai.glm-4.7-flash is one of 81 Bedrock Mantle chat models, with support for function calling. its 203K-token context window places it in the top 45% of chat models. | Model | Provider | Input $/1M | Output $/1M | vs zai.glm-4.7-flash | | --- | --- | --- | --- | --- | | amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.24 | -14% | | apac.amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.25 | -10% | | FW-Nemotron-Lightning-3.5-30B-A3B | Azure | $0.06 | $0.22 | -14% | | Phi-4-mini-instruct | Azure | $0.07 | $0.30 | +7% | | Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 | +14% | ## More from Bedrock Mantle - [openai.gpt-oss-20b ($0.07/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/openai.gpt-oss-20b.md) - [openai.gpt-oss-safeguard-20b ($0.07/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/openai.gpt-oss-safeguard-20b.md) - [nvidia.nemotron-nano-9b-v2 ($0.07/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/nvidia.nemotron-nano-9b-v2.md) - [nvidia.nemotron-nano-3-30b ($0.07/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/nvidia.nemotron-nano-3-30b.md) ## Related Resources - [All Bedrock Mantle pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle.md) ## FAQ ### Is zai.glm-4.7-flash cheaper than amazon.nova-lite-v1:0? No. zai.glm-4.7-flash costs $0.07 per 1M input tokens while amazon.nova-lite-v1:0 costs $0.06 per 1M input tokens, making amazon.nova-lite-v1:0 14% more affordable for input. However, zai.glm-4.7-flash may offer different capabilities or performance characteristics that justify the price difference. ### How does zai.glm-4.7-flash pricing compare to the average chat model? zai.glm-4.7-flash input pricing is $0.07 per 1M tokens, which is 88% below the median of $0.58 for chat models. It ranks 280 out of 3639 chat models by input cost, making it cheaper than 92% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $1.66. ### What makes zai.glm-4.7-flash different from other Bedrock Mantle models? Among Bedrock Mantle's 81 chat models, zai.glm-4.7-flash ranks 9 by input cost. ### What are the best alternatives to zai.glm-4.7-flash? The most comparable chat models to zai.glm-4.7-flash are: amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); FW-Nemotron-Lightning-3.5-30B-A3B from Azure ($0.06/1M input tokens); Phi-4-mini-instruct from Azure ($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. ### How do I calculate zai.glm-4.7-flash costs? zai.glm-4.7-flash 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. ## Related Resources - [All Bedrock Mantle pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/zai.glm-4.7-flash](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/zai.glm-4.7-flash) for AI/LLM consumption.*