Qwen3-30B-A3B-Thinking

Text LLMQwen3-30B-A3B-Thinking

Reasoning-forward 30B tier for planning and analysis.

Optimized for deliberate multi-step reasoning — policy drafting, structured analysis, and orchestration prompts. Call it like any other chat model via your AIGrid deployment string.

Best for

Reasoning

Mode

Text LLM

Reasoning

Advanced reasoning

Tools / coding

Tools · Code

Throughput

660 tokens/sec

Model pricing

Token prices are shown in Algerian dinars per one million tokens.

Input price

73 DA / 1M tokens

Output price

148 DA / 1M tokens

At a glance

  • Modalities: Text
  • Extended thinking style outputs
  • Ideal for LangGraph flows
  • Tune system prompts for chain-of-thought depth

Integration examples

These snippets are adapted for this model's API mode: Chat completions. The model field is set to Qwen3-30B-A3B-Thinking. If your deployment uses an alias, mirror that value when you paste into your app. For general concepts, see the main documentation hub.

Deploy a model →

Keys and base URL

Replace YOUR_API_KEY with the key from Models after you sign in. This page's snippets use https://app.ai-grid.io when you are signed in (see DOCS_AUTHENTICATED_API_BASE_URL). Otherwise they keep the placeholder host for sovereign-safe documentation.

Send a chat completion

Chat completions

/v1/chat/completions
Chat completions · HTTP
curl https://app.ai-grid.io/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "Qwen3-30B-A3B-Thinking",
    "messages": [
      { "role": "user", "content": "Hello from AIGrid!" }
    ]
  }'

Other models

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Large open stack for general reasoning, code, and assistants.

Throughput

1,000 tokens/sec

Input

19 DA / 1M tokens

Output

75 DA / 1M tokens

  • Strong default for assistants and tool loops
  • OpenAI-compatible `/v1/chat/completions`
  • Pair with LangGraph for stateful agents
View documentation

Google · Text LLM

google/gemma-4-31B

High-volume chat

G4
TextStandard reasoningToolsCode

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Fast 31B text generation for assistants and RAG answers.

Throughput

580 tokens/sec

Input

73 DA / 1M tokens

Output

148 DA / 1M tokens

  • Great for high-volume chat
  • Pairs with LangChain ChatOpenAI
  • Stable for LlamaIndex completion nodes
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Alibaba · Embedding

Alibaba-NLP/gte-Qwen2-7B-instruct

Embeddings

AB
TextNo reasoning mode

Alibaba-NLP/gte-Qwen2-7B-instruct

Dense text encoder for semantic search and clustering.

Throughput

No throughput info

Input

Free

Output

Free

  • Vector / similarity workflows
  • LlamaIndex Settings helper
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View documentation

Zhipu / Z.ai · OCR

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PDF OCR

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Document and image OCR with multimodal chat messages.

Throughput

1.96 pages PDF/sec

Input

8 DA / 1M tokens

Output

8 DA / 1M tokens

  • Vision + OCR style prompts
  • Great for ingestion pipelines
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DeepSeek · OCR

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OCR-focused multimodal stack for documents.

Throughput

860 tokens/sec

Input

8 DA / 1M tokens

Output

8 DA / 1M tokens

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View documentation