--- title: "gemma-4-31B-it Cost Calculator - Tensormesh" description: "Calculate the cost of using gemma-4-31B-it from Tensormesh. Input costs $0.14 and output $0.56 per 1M tokens." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/tensormesh/model/gemma-4-31b-it" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/tensormesh/model/gemma-4-31b-it.md" --- # gemma-4-31B-it Cost Calculator - Tensormesh > Calculate the cost of using gemma-4-31B-it from Tensormesh. Input costs $0.14 and output $0.56 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 Tensormesh, one of 10 chat models they offer. It is priced at $0.14 per 1M input tokens and $0.56 per 1M output tokens, ranking 579 out of 3254 chat models by cost and cheaper than 82% of models in this category. gemma-4-31B-it supports function calling, reasoning, prompt caching, structured output. It accepts up to 33K input tokens. ## Pricing Published Tensormesh pricing for gemma-4-31B-it. - **$0.14 / 1M tokens Input.** - **$0.56 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **32,768 Max Input Tokens.** - **32,768 Max Output Tokens.** ## Model Capabilities gemma-4-31B-it supports: Function Calling, Reasoning, Prompt Caching, System Messages, Response Schema, Tool Choice. ## How Pricing Compares At $0.14 per 1M input tokens and $0.56 per 1M output tokens, gemma-4-31B-it ranks 579 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 82% of models in this category. gemma-4-31B-it is one of 10 Tensormesh chat models, with support for function calling, reasoning, prompt caching, structured output. | Model | Provider | Input $/1M | Output $/1M | vs gemma-4-31B-it | | --- | --- | --- | --- | --- | | GLM-5.3-Flash | FriendliAI | $0.15 | $0.50 | +7% | | mimo-v2.5 | OpenRouter | $0.14 | $0.28 | 0% | | GLM-5.3-Flash | Together AI | $0.15 | $0.50 | +7% | | deepseek-v4-flash | Tencent | $0.14 | $0.28 | 0% | | hy3 | Novita | $0.14 | $0.58 | 0% | ## More from Tensormesh - [DeepSeek-V4-Flash ($0.14/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/tensormesh/model/deepseek-v4-flash.md) - [gpt-oss-120b ($0.15/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/tensormesh/model/gpt-oss-120b.md) - [gpt-oss-20b ($0.07/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/tensormesh/model/gpt-oss-20b.md) - [MiniMax-M2.5 ($0.30/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/tensormesh/model/minimax-m2.5.md) ## Related Resources - [All Tensormesh pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/tensormesh.md) ## FAQ ### Is gemma-4-31B-it cheaper than GLM-5.3-Flash? Yes. gemma-4-31B-it costs $0.14 per 1M input tokens compared to GLM-5.3-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, prompt caching, structured output. ### How does gemma-4-31B-it pricing compare to the average chat model? gemma-4-31B-it input pricing is $0.14 per 1M tokens, which is 73% below the median of $0.52 for chat models. It ranks 579 out of 3254 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $0.56 per 1M tokens compared to the median of $1.50. ### What makes gemma-4-31B-it different from other Tensormesh models? Among Tensormesh's 10 chat models, gemma-4-31B-it ranks 3 by input cost. ### What are the best alternatives to gemma-4-31B-it? The most comparable chat models to gemma-4-31B-it are: GLM-5.3-Flash from FriendliAI ($0.15/1M input tokens); mimo-v2.5 from OpenRouter ($0.14/1M input tokens); GLM-5.3-Flash from Together AI ($0.15/1M input tokens); deepseek-v4-flash from Tencent ($0.14/1M 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 $0.14 and generating 1M output tokens costs $0.56. ## Related Resources - [All Tensormesh pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/tensormesh.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/tensormesh/model/gemma-4-31b-it](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/tensormesh/model/gemma-4-31b-it) for AI/LLM consumption.*