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New Models Added: GLM-4.7 from Z.AI and Alibaba Qwen Vision, Translation, and Image Models

Date: 2025-12-23 / (1404-10-02)

Summary

AvalAI introduces GLM-4.7 from Z.AI with enhanced coding and reasoning capabilities, plus nine new Alibaba Qwen models including Qwen3-VL vision models, Qwen-MT translation models, Z-Image-Turbo for fast image generation, Qwen-Plus-Character for role-playing, and Qwen-Image-Edit-Plus for image editing.

Details

Z.AI - GLM-4.7

GLM-4.7 is Z.AI's latest flagship model, featuring upgrades in enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics. Documentation

Key Capabilities:

Enhanced Programming: Substantially improved performance in multi-language coding and terminal agent applications with "think before acting" mechanism
Superior Frontend Aesthetics: Marked progress in frontend generation quality, producing visually superior webpages, PPTs, and posters
Advanced Tool Invocation: Improved tool calling with 84.7 points on τ²-Bench, surpassing Claude Sonnet 4.5
Enhanced Reasoning: 42.8% on HLE benchmark—a 41% increase over GLM-4.6, surpassing GPT-5.1
Context Caching: Intelligent caching mechanism to optimize performance in long conversations

Feature	Details
Model ID	`glm-4.7`
Context Window	200,000 tokens
Maximum Output	128,000 tokens
Input Modalities	Text
Output Modalities	Text
Supported Endpoints	`v1/chat/completions`, `v1/responses` (partial), `v1/messages` (partial)
Capabilities	Chat, Function Calling, Structured Outputs, Reasoning, Context Caching
Best for	AI coding tools (Claude Code, Cline, Roo Code), agentic workflows, smart office

Pricing:

Token Type	Price per 1M Tokens
Input	$0.60
Cached Input	$0.11
Output	$2.20

Alibaba - New Vision Language Models (Qwen3-VL)

Three new Qwen3-VL models for advanced vision-language tasks including high-precision object recognition, agent tool calling, document parsing, and video understanding. Documentation

qwen3-vl-32b-instruct

A balanced vision-language model with 32 billion parameters for efficient vision processing tasks.

Feature	Details
Model ID	`qwen3-vl-32b-instruct`
Context Window	131,072 tokens
Max Input Tokens	129,024
Max Output Tokens	8,192
Capabilities	Vision, Text, Video Understanding, OCR, Object Detection
Supported Endpoints	`v1/chat/completions`, `v1/responses` (partial), `v1/messages` (partial)

Pricing:

Token Type	Price per 1M Tokens
Input	$0.16
Cached Input	$0.08
Output	$0.64

qwen3-vl-plus

The most powerful model in the Qwen3-VL series with enhanced capabilities for complex vision tasks.

Feature	Details
Model ID	`qwen3-vl-plus`
Context Window	131,072 tokens
Max Input Tokens	129,024
Max Output Tokens	8,192
Capabilities	Vision, Text, Video Understanding, 3D Localization, Document Parsing
Supported Endpoints	`v1/chat/completions`, `v1/responses` (partial), `v1/messages` (partial)

Pricing (Tiered based on context length):

Token Type	Standard	Above 32K	Above 128K
Input	$0.20	$0.30	$0.60
Cached Input	$0.10	$0.15	$0.30
Output	$1.60	$2.40	$4.80

qwen3-vl-flash

A fast and cost-effective vision-language model optimized for response speed while maintaining quality.

Feature	Details
Model ID	`qwen3-vl-flash`
Context Window	131,072 tokens
Max Input Tokens	129,024
Max Output Tokens	8,192
Capabilities	Vision, Text, Video Understanding, OCR
Supported Endpoints	`v1/chat/completions`, `v1/responses` (partial), `v1/messages` (partial)

Pricing (Tiered based on context length):

Token Type	Standard	Above 32K	Above 128K
Input	$0.05	$0.075	$0.12
Cached Input	$0.01	$0.015	$0.024
Output	$0.40	$0.60	$0.96

Alibaba - Machine Translation Models (Qwen-MT)

Two new specialized translation models supporting 92 languages with term intervention, translation memory, and domain prompting features. Documentation

qwen-mt-flash

A balanced translation model optimized for quality, speed, and cost with incremental streaming output support.

Feature	Details
Model ID	`qwen-mt-flash`
Context Window	8,192 tokens
Supported Languages	92 languages
Features	Term Intervention, Translation Memory, Domain Prompting, Streaming
Supported Endpoints	`v1/chat/completions`, `v1/responses` (partial), `v1/messages` (partial)

Pricing:

Token Type	Price per 1M Tokens
Input	$0.16
Cached Input	$0.08
Output	$0.49

qwen-mt-lite

The fastest translation model optimized for real-time scenarios with minimal latency.

Feature	Details
Model ID	`qwen-mt-lite`
Context Window	8,192 tokens
Supported Languages	31 languages
Features	Term Intervention, Translation Memory, Streaming
Supported Endpoints	`v1/chat/completions`, `v1/responses` (partial), `v1/messages` (partial)

Pricing:

Token Type	Price per 1M Tokens
Input	$0.12
Cached Input	$0.06
Output	$0.36

Alibaba - Role-Playing Model

qwen-plus-character

A specialized model for personalized chat scenarios including virtual social interactions, game NPCs, IP recreations, and character-driven conversations. Documentation

Feature	Details
Model ID	`qwen-plus-character`
Context Window	8,192 tokens
Capabilities	Character Portrayal, Topic Progression, Empathetic Listening
Supported Endpoints	`v1/chat/completions`, `v1/responses` (partial), `v1/messages` (partial)
Best for	Virtual characters, Game NPCs, Interactive storytelling, Brand personification

Pricing:

Token Type	Price per 1M Tokens
Input	$0.50
Cached Input	$0.05
Output	$1.40

Alibaba - Image Generation Models

Two new image generation and editing models with fast processing and advanced features. Documentation

z-image-turbo

A lightweight model for fast image generation with Chinese and English text rendering support.

Feature	Details
Model ID	`z-image-turbo`
Max Resolution	2048×2048 pixels
Supported Sizes	1:1, 2:3, 3:2, 3:4, 4:3, 7:9, 9:7, 9:16, 16:9, 9:21, 21:9
Features	Text Rendering, Intelligent Prompt Rewriting, Seed Control
Supported Endpoints	`v1/images/generations`
Best for	Fast image generation, Marketing creatives, Text-in-image

Pricing:

Mode	Cost per Image
Standard	$0.015
With Thinking (prompt_extend=true)	$0.030

qwen-image-edit-plus

An advanced image editing model with enhanced capabilities, the newer version of qwen-image-edit.

Feature	Details
Model ID	`qwen-image-edit-plus`
Capabilities	Image Editing, Image Inpainting, Style Transfer
Supported Endpoints	`v1/images/generations`, `v1/images/edits`
Best for	Image enhancement, Creative editing, Style modifications

Pricing:

Component	Cost
Per Image	$0.03

API Request/Response Examples

GLM-4.7 Chat Completion

bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "glm-4.7",
    "messages": [
      {
        "role": "user",
        "content": "Create a React component for a responsive dashboard with charts"
      }
    ],
    "thinking": {
      "type": "enabled"
    },
    "max_tokens": 4096,
    "temperature": 0.6
  }'

Example Response:

json

{
  "id": "chatcmpl-glm47-abc123",
  "created": 1766493600,
  "model": "glm-4.7",
  "object": "chat.completion",
  "choices": [
    {
      "finish_reason": "stop",
      "index": 0,
      "message": {
        "content": "Here's a comprehensive React dashboard component with responsive charts...",
        "role": "assistant",
        "thinking_blocks": [],
        "annotations": []
      }
    }
  ],
  "usage": {
    "completion_tokens": 1250,
    "prompt_tokens": 18,
    "total_tokens": 1268
  },
  "estimated_cost": {
    "unit": "0.0027608000",
    "irt": 362.72,
    "exchange_rate": 131400
  }
}

Qwen3-VL-Plus Vision Analysis

bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "qwen3-vl-plus",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "image_url",
            "image_url": {
              "url": "https://example.com/document.png"
            }
          },
          {
            "type": "text",
            "text": "Extract all text from this document and format as JSON"
          }
        ]
      }
    ]
  }'

Z-Image-Turbo Image Generation

bash

curl https://api.avalai.ir/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "z-image-turbo",
    "prompt": "A modern minimalist logo design with the text AVALAI in elegant typography, professional branding style",
    "size": "1024x1024",
    "n": 1
  }'

Example Response:

json

{
  "created": 1766493600,
  "data": [
    {
      "url": "https://dashscope-result.oss-cn-beijing.aliyuncs.com/xxx.png?Expires=xxx"

    }
  ],
  "estimated_cost": {
    "unit": "0.0150000000",
    "irt": 1971.0,
    "exchange_rate": 131400
  }
}

Qwen-MT-Flash Translation

bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "qwen-mt-flash",
    "messages": [
      {
        "role": "user",
        "content": "Artificial intelligence is transforming industries worldwide."
      }
    ],
    "extra_body": {
      "translation_options": {
        "source_lang": "English",
        "target_lang": "Persian"
      }
    }
  }'

SDK Usage Examples

GLM-4.7 with Thinking Mode

BashPythonJavaScript

bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "glm-4.7",
    "messages": [
      {
        "role": "user",
        "content": "Design a microservices architecture for an e-commerce platform"
      }
    ],
    "thinking": {
      "type": "enabled"
    },
    "max_tokens": 4096
  }'

python

from openai import OpenAI

client = OpenAI(api_key="your-avalai-api-key", base_url="https://api.avalai.ir/v1")

response = client.chat.completions.create(
    model="glm-4.7",
    messages=[
        {
            "role": "user",
            "content": "Design a microservices architecture for an e-commerce platform",
        }
    ],
    extra_body={"thinking": {"type": "enabled"}},
    max_tokens=4096,
)

print(response.choices[0].message.content)

javascript

import { OpenAI } from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

const response = await client.chat.completions.create({
  model: "glm-4.7",
  messages: [
    {
      role: "user",
      content: "Design a microservices architecture for an e-commerce platform",
    },
  ],
  thinking: {
    type: "enabled",
  },
  max_tokens: 4096,
});

console.log(response.choices[0].message.content);

Qwen3-VL Vision Model

BashPythonJavaScript

bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "qwen3-vl-plus",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "image_url",
            "image_url": {
              "url": "https://example.com/chart.png"
            }
          },
          {
            "type": "text",
            "text": "Analyze this chart and provide key insights"
          }
        ]
      }
    ]
  }'

python

from openai import OpenAI

client = OpenAI(api_key="your-avalai-api-key", base_url="https://api.avalai.ir/v1")

response = client.chat.completions.create(
    model="qwen3-vl-plus",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {"url": "https://example.com/chart.png"},
                },
                {"type": "text", "text": "Analyze this chart and provide key insights"},
            ],
        }
    ],
)

print(response.choices[0].message.content)

javascript

import { OpenAI } from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

const response = await client.chat.completions.create({
  model: "qwen3-vl-plus",
  messages: [
    {
      role: "user",
      content: [
        {
          type: "image_url",
          image_url: { url: "https://example.com/chart.png" },
        },
        { type: "text", text: "Analyze this chart and provide key insights" },
      ],
    },
  ],
});

console.log(response.choices[0].message.content);

Z-Image-Turbo Image Generation

BashPythonJavaScript

bash

curl https://api.avalai.ir/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "z-image-turbo",
    "prompt": "A futuristic cityscape at sunset with flying vehicles",
    "size": "1024x1024",
    "n": 1
  }'

python

from openai import OpenAI

client = OpenAI(api_key="your-avalai-api-key", base_url="https://api.avalai.ir/v1")

response = client.images.generate(
    model="z-image-turbo",
    prompt="A futuristic cityscape at sunset with flying vehicles",
    size="1024x1024",
    n=1,
)

print(response.data[0].url)

javascript

import { OpenAI } from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

const response = await client.images.generate({
  model: "z-image-turbo",
  prompt: "A futuristic cityscape at sunset with flying vehicles",
  size: "1024x1024",
  n: 1,
});

console.log(response.data[0].url);

Qwen-Plus-Character Role-Playing

BashPythonJavaScript

bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{
    "model": "qwen-plus-character",
    "messages": [
      {
        "role": "system",
        "content": "You are Luna, a wise and gentle forest spirit who speaks in poetic language and loves nature."
      },
      {
        "role": "user",
        "content": "Hello, who are you?"
      }
    ]
  }'

python

from openai import OpenAI

client = OpenAI(api_key="your-avalai-api-key", base_url="https://api.avalai.ir/v1")

response = client.chat.completions.create(
    model="qwen-plus-character",
    messages=[
        {
            "role": "system",
            "content": "You are Luna, a wise and gentle forest spirit who speaks in poetic language and loves nature.",
        },
        {"role": "user", "content": "Hello, who are you?"},
    ],
)

print(response.choices[0].message.content)

javascript

import { OpenAI } from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

const response = await client.chat.completions.create({
  model: "qwen-plus-character",
  messages: [
    {
      role: "system",
      content: "You are Luna, a wise and gentle forest spirit who speaks in poetic language and loves nature.",
    },
    { role: "user", content: "Hello, who are you?" },
  ],
});

console.log(response.choices[0].message.content);

New Models Added: GLM-4.7 from Z.AI and Alibaba Qwen Vision, Translation, and Image Models ​

Summary ​

Details ​

Z.AI - GLM-4.7 ​

Alibaba - New Vision Language Models (Qwen3-VL) ​

qwen3-vl-32b-instruct ​

qwen3-vl-plus ​

qwen3-vl-flash ​

Alibaba - Machine Translation Models (Qwen-MT) ​

qwen-mt-flash ​

qwen-mt-lite ​

Alibaba - Role-Playing Model ​

qwen-plus-character ​

Alibaba - Image Generation Models ​

z-image-turbo ​

qwen-image-edit-plus ​

API Request/Response Examples ​

GLM-4.7 Chat Completion ​

Qwen3-VL-Plus Vision Analysis ​

Z-Image-Turbo Image Generation ​

Qwen-MT-Flash Translation ​

SDK Usage Examples ​

GLM-4.7 with Thinking Mode ​

Qwen3-VL Vision Model ​

Z-Image-Turbo Image Generation ​

Qwen-Plus-Character Role-Playing ​

Related Links ​

New Models Added: GLM-4.7 from Z.AI and Alibaba Qwen Vision, Translation, and Image Models

Summary

Details

Z.AI - GLM-4.7

Alibaba - New Vision Language Models (Qwen3-VL)

qwen3-vl-32b-instruct

qwen3-vl-plus

qwen3-vl-flash

Alibaba - Machine Translation Models (Qwen-MT)

qwen-mt-flash

qwen-mt-lite

Alibaba - Role-Playing Model

qwen-plus-character

Alibaba - Image Generation Models

z-image-turbo

qwen-image-edit-plus

API Request/Response Examples

GLM-4.7 Chat Completion

Qwen3-VL-Plus Vision Analysis

Z-Image-Turbo Image Generation

Qwen-MT-Flash Translation

SDK Usage Examples

GLM-4.7 with Thinking Mode

Qwen3-VL Vision Model

Z-Image-Turbo Image Generation

Qwen-Plus-Character Role-Playing

Related Links