--- title: "llava-yi-34b Cost Calculator - Fireworks AI" description: "Calculate the cost of using llava-yi-34b from Fireworks AI. Input costs $0.90 and output $0.90 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/fireworks_ai/model/llava-yi-34b" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/fireworks_ai/model/llava-yi-34b.md" --- # llava-yi-34b Cost Calculator - Fireworks AI > Calculate the cost of using llava-yi-34b from Fireworks AI. Input costs $0.90 and output $0.90 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/bifrost/enterprise) - [Pricing](https://www.getmaxim.ai/bifrost/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/bifrost/book-a-demo) ## About llava-yi-34b llava-yi-34b is a chat model from Fireworks AI, one of 289 chat models they offer. It is priced at $0.90 per 1M input tokens and $0.90 per 1M output tokens, ranking 1790 out of 2912 chat models by cost and cheaper than 37% of models in this category. It accepts up to 4K input tokens. ## Pricing Published Fireworks AI pricing for llava-yi-34b. - **$0.90 / 1M tokens Input.** - **$0.90 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **4,096 Max Input Tokens.** - **4,096 Max Output Tokens.** - **4,096 Max Tokens.** ## How Pricing Compares At $0.90 per 1M input tokens and $0.90 per 1M output tokens, llava-yi-34b ranks 1790 out of 2912 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 37% of models in this category. | Model | Provider | Input $/1M | Output $/1M | vs llava-yi-34b | | --- | --- | --- | --- | --- | | amazon.nova-pro-v1:0 | AWS Bedrock | $0.80 | $3.20 | -11% | | anthropic.claude-3-5-haiku-20241022-v1:0 | AWS Bedrock | $0.80 | $4.00 | -11% | | anthropic.claude-haiku-4-5-20251001-v1:0 | AWS Bedrock | $1.00 | $5.00 | +11% | | anthropic.claude-haiku-4-5@20251001 | AWS Bedrock | $1.00 | $5.00 | +11% | | anthropic.claude-instant-v1 | AWS Bedrock | $0.80 | $2.40 | -11% | ## More from Fireworks AI - [deepseek-v3 ($0.90/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/fireworks_ai/model/deepseek-v3.md) - [deepseek-v3-0324 ($0.90/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/fireworks_ai/model/deepseek-v3-0324.md) - [firefunction-v2 ($0.90/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/fireworks_ai/model/firefunction-v2.md) - [llama-v3p2-90b-vision-instruct ($0.90/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/fireworks_ai/model/llama-v3p2-90b-vision-instruct.md) ## Related Resources - [Fireworks AI status](https://www.getmaxim.ai/bifrost/provider-status/fireworks-ai.md) - [All Fireworks AI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/fireworks_ai.md) ## FAQ ### Is llava-yi-34b cheaper than amazon.nova-pro-v1:0? No. llava-yi-34b costs $0.90 per 1M input tokens while amazon.nova-pro-v1:0 costs $0.80 per 1M input tokens, making amazon.nova-pro-v1:0 11% more affordable for input. However, llava-yi-34b may offer different capabilities or performance characteristics that justify the price difference. ### How does llava-yi-34b pricing compare to the average chat model? llava-yi-34b input pricing is $0.90 per 1M tokens, which is 64% above the median of $0.55 for chat models. It ranks 1790 out of 2912 chat models by input cost, making it cheaper than 37% of models in this category. For output, it costs $0.90 per 1M tokens compared to the median of $1.50. ### What makes llava-yi-34b different from other Fireworks AI models? Among Fireworks AI's 289 chat models, llava-yi-34b ranks 216 by input cost. ### What are the best alternatives to llava-yi-34b? The most comparable chat models to llava-yi-34b are: amazon.nova-pro-v1:0 from AWS Bedrock ($0.80/1M input tokens); anthropic.claude-3-5-haiku-20241022-v1:0 from AWS Bedrock ($0.80/1M input tokens); anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.00/1M input tokens); anthropic.claude-haiku-4-5@20251001 from AWS Bedrock ($1.00/1M 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 check if Fireworks AI is down? You can monitor Fireworks AI service health in real time on the Bifrost Fireworks AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds. ### How do I calculate llava-yi-34b costs? llava-yi-34b 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 $0.90 and generating 1M output tokens costs $0.90. ## Related Resources - [All Fireworks AI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/fireworks_ai.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/bifrost/pricing.md) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/bifrost/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/bifrost/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/fireworks_ai/model/llava-yi-34b](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/fireworks_ai/model/llava-yi-34b) for AI/LLM consumption.*