---
title: "jev-1.13 Cost Calculator - Opencode-zen"
description: "Calculate the cost of using jev-1.13 from Opencode-zen. Input costs $0.04 and output $0.0000 per 1M tokens."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/jev-1.13"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/jev-1.13.md"
---

# jev-1.13 Cost Calculator - Opencode-zen

> Calculate the cost of using jev-1.13 from Opencode-zen. Input costs $0.04 and output $0.0000 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/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.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About jev-1.13

jev-1.13 is a chat model from Opencode-zen, one of 73 chat models they offer. It is priced at $0.04 per 1M input tokens and $0.0000 per 1M output tokens, ranking 111 out of 3781 chat models by cost and cheaper than 97% of models in this category.

## Pricing

Published Opencode-zen pricing for jev-1.13.

- **$0.04 / 1M tokens Input.**
- **$0.0000 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**

## How Pricing Compares

At $0.04 per 1M input tokens and $0.0000 per 1M output tokens, jev-1.13 ranks 111 out of 3781 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 97% of models in this category.

| Model | Provider | Input $/1M | Output $/1M | vs jev-1.13 |
| --- | --- | --- | --- | --- |
| amazon.nova-micro-v1:0 | AWS Bedrock | $0.04 | $0.14 | -17% |
| apac.amazon.nova-micro-v1:0 | AWS Bedrock | $0.04 | $0.15 | -12% |
| gpt-5-nano | Azure | $0.05 | $0.40 | +19% |
| gpt-5-nano-2025-08-07 | Azure | $0.05 | $0.40 | +19% |
| ministral-3b | Azure | $0.04 | $0.04 | -5% |

## More from Opencode-zen

- [gpt-5-nano ($0.05/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/gpt-5-nano.md)
- [gpt-6-luna ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/gpt-6-luna.md)
- [claude-haiku-5-5 ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/claude-haiku-5-5.md)
- [muse-spark-1.3-contributor ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/muse-spark-1.3-contributor.md)

## Related Resources

- [All Opencode-zen pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen.md)

## FAQ

### Is jev-1.13 cheaper than amazon.nova-micro-v1:0?

No. jev-1.13 costs $0.04 per 1M input tokens while amazon.nova-micro-v1:0 costs $0.04 per 1M input tokens, making amazon.nova-micro-v1:0 17% more affordable for input. However, jev-1.13 may offer different capabilities or performance characteristics that justify the price difference.

### How does jev-1.13 pricing compare to the average chat model?

jev-1.13 input pricing is $0.04 per 1M tokens, which is 93% below the median of $0.60 for chat models. It ranks 111 out of 3781 chat models by input cost, making it cheaper than 97% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $1.75.

### What makes jev-1.13 different from other Opencode-zen models?

Among Opencode-zen's 73 chat models, jev-1.13 ranks 1 by input cost.

### What are the best alternatives to jev-1.13?

The most comparable chat models to jev-1.13 are: amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); apac.amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); gpt-5-nano from Azure ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.05/1M 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 jev-1.13 costs?

jev-1.13 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 $0.04 and generating 1M output tokens costs $0.0000.

## Related Resources

- [All Opencode-zen pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen.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.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://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/jev-1.13](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/opencode-zen/model/jev-1.13) for AI/LLM consumption.*