--- title: "gemma-4-31B-it Cost Calculator - Wandb" description: "Calculate the cost of using gemma-4-31B-it from Wandb. Input costs $0.10 and output $0.34 per 1M tokens." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb/model/gemma-4-31b-it" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb/model/gemma-4-31b-it.md" --- # gemma-4-31B-it Cost Calculator - Wandb > Calculate the cost of using gemma-4-31B-it from Wandb. Input costs $0.10 and output $0.34 per 1M tokens. ## Important Links - [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md) - [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/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 gemma-4-31B-it gemma-4-31B-it is a chat model from Wandb, one of 35 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.34 per 1M output tokens, ranking 445 out of 3254 chat models by cost and cheaper than 85% of models in this category. gemma-4-31B-it supports vision. Its 262K-token context window is in the top 37% among chat models. ## Pricing Published Wandb pricing for gemma-4-31B-it. - **$0.10 / 1M tokens Input.** - **$0.34 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **262,144 Max Input Tokens.** - **262,144 Max Tokens.** ## Model Capabilities gemma-4-31B-it supports: Vision. ## How Pricing Compares At $0.10 per 1M input tokens and $0.34 per 1M output tokens, gemma-4-31B-it ranks 445 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 85% of models in this category. gemma-4-31B-it is one of 35 Wandb chat models, with support for vision. its 262K-token context window places it in the top 37% of chat models. | Model | Provider | Input $/1M | Output $/1M | vs gemma-4-31B-it | | --- | --- | --- | --- | --- | | gpt-4.1-nano | Azure | $0.10 | $0.40 | 0% | | gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | 0% | | Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 | -20% | | mistral-small-2503 | Azure | $0.10 | $0.30 | 0% | | gemini-2.0-flash | Vertex AI | $0.10 | $0.40 | 0% | ## More from Wandb - [NVIDIA-Nemotron-3.5-Lightning-30B-A3B ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb/model/nvidia-nemotron-3.5-lightning-30b-a3b.md) - [Qwen3-30B-A3B-Instruct-2507 ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb/model/qwen3-30b-a3b-instruct-2507.md) - [DeepSeek-V3-0324 ($0.11/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb/model/deepseek-v3-0324.md) - [DeepSeek-V4-Flash-0731 ($0.13/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb/model/deepseek-v4-flash-0731.md) ## Related Resources - [All Wandb pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb.md) ## FAQ ### Is gemma-4-31B-it cheaper than gpt-4.1-nano? No. gemma-4-31B-it costs $0.10 per 1M input tokens while gpt-4.1-nano costs $0.10 per 1M input tokens, making gpt-4.1-nano 0% more affordable for input. However, gemma-4-31B-it may offer different capabilities or performance characteristics that justify the price difference. ### How does gemma-4-31B-it pricing compare to the average chat model? gemma-4-31B-it input pricing is $0.10 per 1M tokens, which is 81% below the median of $0.52 for chat models. It ranks 445 out of 3254 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.34 per 1M tokens compared to the median of $1.50. ### What makes gemma-4-31B-it different from other Wandb models? Among Wandb's 35 chat models, gemma-4-31B-it ranks 11 by input cost. ### What are the best alternatives to gemma-4-31B-it? The most comparable chat models to gemma-4-31B-it are: gpt-4.1-nano from Azure ($0.10/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.10/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M input tokens); mistral-small-2503 from Azure ($0.10/1M 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 costs? gemma-4-31B-it 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 $0.10 and generating 1M output tokens costs $0.34. ## Related Resources - [All Wandb pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb.md) - [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md) - [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/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://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md) --- *This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb/model/gemma-4-31b-it](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/wandb/model/gemma-4-31b-it) for AI/LLM consumption.*