--- title: "Gemma-4-31B-IT-NVFP4 - Model Details & Comparison" description: "Gemma-4-31B-IT-NVFP4 from Sail: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/sail/gemma-4-31b-it-nvfp4" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/sail/gemma-4-31b-it-nvfp4.md" --- # Gemma-4-31B-IT-NVFP4 - Model Details & Comparison > Gemma-4-31B-IT-NVFP4 from Sail: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About Gemma-4-31B-IT-NVFP4 Gemma-4-31B-IT-NVFP4 is a chat model from Sail, one of 12 chat models they offer. It is priced at $0.14 per 1M input tokens and $0.40 per 1M output tokens, ranking 651 out of 3793 chat models by cost and cheaper than 82% of models in this category. Gemma-4-31B-IT-NVFP4 supports vision, function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 44% among chat models. ## Specifications - **Sail Provider.** - **Chat Mode.** - **262,144 Max Input Tokens.** - **262,144 Max Output Tokens.** - **262,144 Max Tokens.** - **$0.14 / 1M tokens Input Price.** - **$0.40 / 1M tokens Output Price.** ## Capabilities Gemma-4-31B-IT-NVFP4 supports: Function Calling, Vision, Reasoning, Prompt Caching, Response Schema, Tool Choice. ## Gemma-4-31B-IT-NVFP4 Pricing Overview At $0.14 per 1M input tokens and $0.40 per 1M output tokens, Gemma-4-31B-IT-NVFP4 ranks 651 out of 3793 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 82% of models in this category. Gemma-4-31B-IT-NVFP4 is one of 12 Sail chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 44% of chat models. ## Models to Compare Alternatives to Gemma-4-31B-IT-NVFP4 with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | qwen3.8-flash | Dashscope | $0.15 | $0.47 | | qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | | qwen3.8-flash | Qwen Ai Platform | $0.15 | $0.47 | | qwen3.8-omni-flash | Qwen Ai Platform | $0.15 | $0.47 | | GLM-5.3-Flash | FriendliAI | $0.15 | $0.50 | - [Compare qwen3.8-flash](https://www.getmaxim.ai/bifrost/model-library/compare/dashscope/qwen3.8-flash.md) - [Compare qwen3.8-omni-flash](https://www.getmaxim.ai/bifrost/model-library/compare/dashscope/qwen3.8-omni-flash.md) - [Compare qwen3.8-flash](https://www.getmaxim.ai/bifrost/model-library/compare/qwen_ai_platform/qwen3.8-flash.md) - [Compare qwen3.8-omni-flash](https://www.getmaxim.ai/bifrost/model-library/compare/qwen_ai_platform/qwen3.8-omni-flash.md) - [Compare GLM-5.3-Flash](https://www.getmaxim.ai/bifrost/model-library/compare/friendliai/glm-5.3-flash.md) ## Related Resources - [Calculate Gemma-4-31B-IT-NVFP4 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/sail/model/gemma-4-31b-it-nvfp4.md) - [All Sail pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/sail.md) ## FAQ ### Is Gemma-4-31B-IT-NVFP4 cheaper than qwen3.8-flash? Yes. Gemma-4-31B-IT-NVFP4 costs $0.14 per 1M input tokens compared to qwen3.8-flash's $0.15 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output. ### How does Gemma-4-31B-IT-NVFP4 pricing compare to the average chat model? Gemma-4-31B-IT-NVFP4 input pricing is $0.14 per 1M tokens, which is 77% below the median of $0.60 for chat models. It ranks 651 out of 3793 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $1.75. ### What makes Gemma-4-31B-IT-NVFP4 different from other Sail models? Among Sail's 12 chat models, Gemma-4-31B-IT-NVFP4 ranks 6 by input cost. ### What are the best alternatives to Gemma-4-31B-IT-NVFP4? The most comparable chat models to Gemma-4-31B-IT-NVFP4 are: qwen3.8-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Dashscope ($0.15/1M input tokens); qwen3.8-flash from Qwen Ai Platform ($0.15/1M input tokens); qwen3.8-omni-flash from Qwen Ai Platform ($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. ### How do I calculate Gemma-4-31B-IT-NVFP4 costs? Gemma-4-31B-IT-NVFP4 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 $0.14 and generating 1M output tokens costs $0.40. ## Related Resources - [Sail models](https://www.getmaxim.ai/bifrost/model-library/provider/sail.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md) - [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/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/sail/gemma-4-31b-it-nvfp4](https://www.getmaxim.ai/bifrost/model-library/compare/sail/gemma-4-31b-it-nvfp4) for AI/LLM consumption.*