# Eva: Qwen 2.5 32B V0.2 API

Eva-unit-01's Eva: Qwen 2.5 32B V0.2, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send eva-qwen2.5-32b-v0.2 as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

## Facts

- Model name: eva-qwen2.5-32b-v0.2
- Maker: Eva-unit-01
- Context window: 16.4K tokens
- Input price: $0.799 per million tokens
- Output price: $0.799 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.799 input and $0.799 output per million tokens, $0.799 cache read per million tokens, 16.4K tokens of context

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "eva-qwen2.5-32b-v0.2",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Eva: Qwen 2.5 32B V0.2?

Eva: Qwen 2.5 32B V0.2 is a model from Eva-unit-01.

### How much does Eva: Qwen 2.5 32B V0.2 cost?

Offers now ask $0.799 per million input tokens and $0.799 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.

### What is the context length of Eva: Qwen 2.5 32B V0.2?

The largest offer takes 16,384 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Eva: Qwen 2.5 32B V0.2 do?

Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.

### What inputs and outputs does Eva: Qwen 2.5 32B V0.2 support?

Text → Text.

### Which providers serve Eva: Qwen 2.5 32B V0.2?

1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.

### How do I call Eva: Qwen 2.5 32B V0.2?

Send "eva-qwen2.5-32b-v0.2" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Eva: Qwen 2.5 32B V0.2 listed?

The exchange first listed it on 10/10/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/eva-qwen2.5-32b-v0.2)
- [Eva: Qwen 2.5 72B V0.2](https://liquidinference.ai/models/eva-qwen2.5-72b-v0.2.md)
- [Eva: Llama 3.33 70B V0.1](https://liquidinference.ai/models/eva-llama-3.33-70b-v0.1.md)
- [Eva: Llama 3.33 70B V0.0](https://liquidinference.ai/models/eva-llama-3.33-70b-v0.0.md)
- [Set up a client](https://liquidinference.ai/connect/eva-qwen2.5-32b-v0.2)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)