Source: https://ailoot.ai/models/en/qwen-qwen2-5-coder-7b-instruct/
Canonical: https://ailoot.ai/models/en/qwen-qwen2-5-coder-7b-instruct/
Language: en

# Qwen/Qwen2.5-Coder-7B-Instruct

[Markdown](https://ailoot.ai/models/en/qwen-qwen2-5-coder-7b-instruct/index.md) · [JSON](https://ailoot.ai/models/en/qwen-qwen2-5-coder-7b-instruct/facts.json)

## [Qwen/Qwen2.5-Coder-7B-Instruct](https://ailoot.ai/models/en/qwen-qwen2-5-coder-7b-instruct/)

Qwen’s instruction-tuned 7B coding edition for code generation, explanation and proposed repairs.

- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `Qwen/Qwen2.5-Coder-7B-Instruct`](https://ailoot.ai/models/en/qwen-qwen2-5-coder-7b-instruct/#method-0)

About the model

This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.

Qwen/Qwen2.5-Coder-7B-Instruct is the instruction-tuned 7B edition of Qwen’s code-focused family. The [official model card](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) positions it for code generation, code reasoning and code fixing. A concrete task is turning a function signature and failing example into a replacement implementation plus a short explanation of the edge case.

Use Ailoot’s /v1/chat/completions route, whose accepted modalities are text and image input with text output. The listed controls are model, messages and stream; this entry exposes no code-execution tool or repository mutation. The upstream model’s deployment-dependent long-context setup does not establish a context allowance on this route. Compare the proposed repair with the original failing example in your own runtime.

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `Qwen/Qwen2.5-Coder-7B-Instruct`

[`Qwen/Qwen2.5-Coder-7B-Instruct`](https://ailoot.ai/models/en/#m=Qwen%2FQwen2.5-Coder-7B-Instruct&route=Ultra&caller=Qwen%2FQwen2.5-Coder-7B-Instruct&fmt=chat)

Other /`Qwen/Qwen2.5-Coder-7B-Instruct`

### Overview

Qwen’s instruction-tuned 7B coding edition for code generation, explanation and proposed repairs.

Accepted inputs

Text · Images

Results

Text

### Available in Ailoot · inputs & methods

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`

Input types

`text`, `image`

Output types

`text`

Output format

JSON or SSE

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits Qwen/Qwen2.5-Coder-7B-Instruct Conditions: Use this exact Ailoot routing selector. | Default— |
| Field`messages` | Type`array` | RequirementRequired | Values & limits Conditions: | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits Conditions: | Defaultfalse |

Input material combinations

**text\_input** · Required: messages

**image\_with\_text** · Required: messages with actual image content blocks

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages |
| Parameter`optional` | Contractstream |
| Parameter`material_types` | Contracttext, image |
| Parameter`conditions` | ContractUse this exact Ailoot routing selector., Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model. |

Method aliases: `/chat/completions`

Lifecycle: `synchronous_or_streamed`

### Pricing

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode

Standard rate When fast mode is selected

Flex mode

Standard rate When flex mode is selected

Maximum reasoning effort

Standard rate When maximum reasoning effort uses the default adjustment

Explicit cache pricing

Not enabled When explicit cache is requested

Text-only zero rates

Cache, tools and media follow their separately listed pricing conditions. For text-only input and output

#### Ailoot rates

#### Prices by configuration

| Configuration | Rate schedule | Charge |
| --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Charge Input · Input tokens **$0** / 1K tokens Output · Output tokens **$0** / 1K tokens Input · Cache read **$0** / 1K tokens Input · Cache write **$0** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)

### Example requests

#### Ailoot Ultra · OpenAI Chat

curl · create once and retain the complete result

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "Qwen/Qwen2.5-Coder-7B-Instruct", "messages": [{"role": "user", "content": "Explain how a rainbow forms."}]}')

Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
# Submit once. Retain the complete result, original identifiers and every response header.
```

### Receive and save results

#### Ailoot Ultra · OpenAI Chat

JSON or SSE

##### Keep all completed results

Keep every complete returned response, file and content part.

Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.

##### If the original response needs checking

Keep the original X-Client-Request-ID, response and headers. An unknown or result\_pending\_check outcome does not authorize a second creation.

Response fields

| Field | Type |
| --- | --- |
| Field`choices[]` | Typeobject |
| Field`usage` | Typeobject |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionA required field, model selector, type or input representation is invalid. | Next stepInspect the returned validation detail before preparing a separate request. |
| Response`` | ConditionThe original request or result is unknown or requires a check. | Next stepKeep original identifiers and headers; read only supported status/library records. Do not submit creation again. |

### Aliases

#### Model aliases

**Ailoot Ultra** [`Qwen/Qwen2.5-Coder-7B-Instruct`](https://ailoot.ai/models/en/#m=Qwen%2FQwen2.5-Coder-7B-Instruct&route=Ultra&caller=Qwen%2FQwen2.5-Coder-7B-Instruct&fmt=chat)

#### Method path aliases

`/chat/completions`

#### Related caller IDs

[`Qwen/Qwen2.5-Coder-7B-Instruct`](https://ailoot.ai/models/en/#m=Qwen%2FQwen2.5-Coder-7B-Instruct&route=Ultra&caller=Qwen%2FQwen2.5-Coder-7B-Instruct&fmt=chat)

FAQ · Qwen/Qwen2.5-Coder-7B-Instruct

What inputs and results are available?

`POST /v1/chat/completions` · `Qwen/Qwen2.5-Coder-7B-Instruct`: `text`, `image` → `text`

Which fields does the request use?

`POST /v1/chat/completions` · `Qwen/Qwen2.5-Coder-7B-Instruct`: `model`, `messages`, `stream`

Connect Ailoot to Claude Code, OpenCode, Hermes or your own app.

## The company and its project portfolio

The company and its project portfolio: millions of customers; monthly sales in the billions.

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Spending in your history

The model, tokens and amount are recorded for each request.

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## Connect the API to a product you sell.

Use Ailoot in SaaS, apps and bots under its official service offer and licence agreement. Request a reseller licence for resale.

Commercial application

Add text, image, video and audio generation to paid features in your service.

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[Request a reseller licence](mailto:support@ailoot.ai) · [Service offer and licence agreement](https://ailoot.ai/legal/offer?lang=en)

## Ailoot · The company and its project portfolio





Ailoot combines established operating experience, a large client base, stable service and ongoing KPI control.





The company and its project portfolio: millions of customers; monthly sales in the billions.





Ailoot brings that operating experience to API access for AI features in customer products, agents, applications and automations.