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Models / QWEN

Qwen

Think, Respond, Act

Open-source AI family that powers everything from deep reasoning to autonomous coding. Deploy cutting-edge models with thinking modes, agentic capabilities, and specialized variants for coding, math, and vision tasks.

Build with Qwen API
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Get Started in Minutes

Open-source drop-in for OpenAI: same API, hybrid thinking, multilingual support. Switch to Qwen instantly.


# Install the Together AI library
pip install together 

# Get started with Qwen3 
from together import Together 

client = Together() 

response = client.chat.completions.create( 
    model="Qwen/Qwen3-235B-A22B-fp8-tput",
    messages=[ 
        {
            "role": "user", 
            "content": "Solve this step by step /think"
            enable_thinking=True
        } 
    ] 
)  

print(response.choices[0].message.content)
View API Docs

Why Qwen on Together AI?

From sub-1B to 480B+ parameters - one model family that adapts to every scale

‍

Open-source AI family with breakthrough hybrid thinking in newest flagship models, outperforms OpenAI O3 across verified benchmarks, and offers specialized models for every domain while maintaining complete transparency and model ownership.

  • VERIFIED BENCHMARK LEADERSHIP

    Qwen3-235B-A22B-Thinking-2507 beats OpenAI O3 across key metrics: 92 vs 88.0 on AIME'25, 83 vs 82.5 on HMMT'25, and 2,100+ vs 2,000+ CodeForces rating. Achieves frontier performance using only 22B activated parameters vs o3's larger footprint

    ‍
    Outperforms o3 with 90% lower computational cost

    ‍

    complete THINKING spectrum

    Revolutionary dual-mode system that switches between instant responses, deep reasoning, and autonomous action on demand. Qwen3 models can provide lightning-fast answers for simple queries or engage step-by-step thinking for complex problems.

    ‍
    Think → Respond → Act in one family

    ‍

    COMPLETE OPEN SOURCE ECOSYSTEM

    Full model weights available under Apache 2.0 license with specialized variants for every use case. Deploy anywhere - cloud, VPC, or on-premise. You own your models, your data, and your AI pipeline completely.

    ‍
    Complete model ownership vs closed-source dependencies

    ‍

Meet the Qwen Herd

From ultralight edge models to reasoning powerhouses, choose the Qwen variant that perfectly fits your needs.

Qwen3 235B A22B Instruct 2507 FP8

Enhanced general model

Starting at $0.20/1M tokens

  • 22B

    Active Params

  • 235B

    Total Params

  • 256K

    Context

  • Non-thinking

    Mode

Key Strengths:

  • Excels in instruction following and logical reasoning

  • Strong at math, science, and coding

  • Broad multilingual knowledge

  • High-quality text generation and helpfulness

Try it out

Qwen3-235B-A22B-Thinking-2507 FP8

Advanced reasoning model

Starting at $0.65/1M tokens

  • 235B

    Active Params

  • 22B

    Total Params

  • 256K

    Context

  • 92

    AIME'25 Score

Key Strengths:

  • Beats OpenAI O3 on reasoning

  • Enhanced thinking depth

  • 1M context support

  • Pure thinking mode

Try it out

Qwen3 Coder 480B A35B Instruct

Agentic coding powerhouse

Starting at $2.00/1M tokens

  • 35B

    Active Params

  • 480B

    Total Params

  • 256K

    Context

  • SOTA

    SWE-Bench

Key Strengths:

  • SOTA agentic coding performance

  • Comparable to Claude Sonnet performance

  • Supports 358 programming languages

  • Advanced tool use and browser automation

Try it out

Qwen3 235B A22B FP8

Hybrid reasoning model

Starting at $0.20/1M tokens

  • 22B

    Active Params

  • 235B

    Total Params

  • 128K

    Context

  • 85.7

    AIME'24 Score

Key Strengths:

  • Beats OpenAI o1 on reasoning benchmarks

  • MoE efficiency delivers frontier performance

  • Hybrid thinking modes

Try it out

Qwen2.5 VL 72B

Vision-language powerhouse

Starting at $1.95/1M tokens

  • 72B

    Parameters

  • Vision

    Capable

  • Dynamic

    Resolution

  • Hour-long

    Video Support

Key Strengths:

  • Advanced visual reasoning and video understanding

  • Structured output generation

  • Agentic capabilities

Try it out

QwQ 32B

Specialized reasoning model

Starting at $1.20/1M tokens

  • 32B

    Parameters

  • 131K

    Context

  • RL

    Trained

  • 98.0%

    MATH Score

Key Strengths:

  • Excels in complex reasoning tasks

  • Pure RL methodology

  • Step-by-step transparent thinking

Try it out

Qwen2.5-Coder-32B

SOTA open-source coding model

Starting at $0.80/1M tokens

  • 32B

    Parameters

  • 128K

    Context

  • 92.7

    HumanEval

  • 90.2

    MBPP

Key Strengths:

  • Advanced code generation and reasoning

  • Code fixing capabilities

  • Matches GPT-4o coding performance

Try it out

Qwen2.5-72B

High-performance dense model

Starting at $1.20/1M tokens

  • 72B

    Parameters

  • 32K

    Context

  • FP8

    Quantization

  • Dense

    Architecture

Key Strengths:

  • Advanced language processing

  • Production-ready

  • Balanced performance and cost

Try it out

Qwen2.5-7B-Turbo

Ultra-efficient model

Starting at $0.30/1M tokens

  • 7.61B

    Parameters

  • 131K

    Context

  • FP8

    Quantization

  • Turbo

    Speed

Key Strengths:

  • Ultra-efficient inference

  • Edge deployment ready

  • Cost-effective for high volume

Try it out

The real* Qwen capybara seen hanging out near the Golden Gate Bridge.

Breakthrough Technical Innovations

Qwen models introduce breakthrough architectural advances that redefine open-source AI capabilities.

  • Agentic AI Architecture

    First open-source models with native agentic capabilities. Complete autonomous task execution with tool usage, multi-turn interaction, and real-world problem solving comparable to Claude Sonnet 4.

    Autonomous task completion

  • Massive Scale MoE

    Qwen3-Coder-480B-A35B represents the largest open-source coding model ever released. Advanced MoE architecture activates only 35B parameters from 480B total, delivering frontier performance at manageable computational cost.

    235B params, 22B active per token

  • Vision-Language Integration

    Qwen2.5-VL powers visual reasoning, video understanding, and structured output with native resolution—analyzing hour-long videos with precise localization.

    Hour-long video comprehension

  • Specialized Model Variants

    Purpose-built AI for coding (Qwen2.5-Coder), vision (Qwen2.5-VL), and reasoning (QwQ), tuned for domain excellence yet versatile for general tasks.

    4+ specialized model families

  • Reinforcement Learning

    QwQ-32B uses pure RL training to master complex reasoning, matching far larger closed models while keeping its reasoning transparent.

    Pure RL achieves frontier-class performance

  • Advanced Context Processing

    Up to 131K-token context via optimized attention. RoPE, SwiGLU, RMSNorm, and advanced mechanisms enable efficient long-text processing.

    Up to 131K context length

Deploy on Together AI

Access Qwen models through Together's optimized inference platform with enterprise-grade security and performance guarantees.

  • Serverless Endpoints

    Pay-per-token pricing with automatic scaling. Perfect for getting started or variable workloads.

    Best for:

    • Prototyping and development

    • Variable or unpredictable traffic

    • Cost optimization for low volume

    • Getting started quickly

    Qwen3-235B-A22B-FP8:
    ‍$0.20 input/$0.60 output

    ‍    Qwen2.5-VL-72B:
    $1.95 input/$8 output

    Try Serverless

  • On-Demand Dedicated

    Dedicated GPU capacity with guaranteed performance. No rate limits. Built for production.

    Best for:

    • Production applications

    • Extended model library access

    • Predictable latency requirements

    • Enterprise SLA needs

    Qwen3-Coder:
    ‍$0.11/minute (2x H100)

    ‍    Qwen2.5-VL-72B:
    $0.22/minute (4x H100)

    Deploy Endpoint

  • Monthly Reserved

    Committed GPU capacity, enterprise features and volume discounts. Optimized for scale.

    Best for:

    • High-volume committed usage

    • Enterprise security requirements

    • Priority hardware access

    • Maximum cost efficiency

    Reserved GPU pricing:
    Starting $0.98/hr

    Volume Discounts:

    Up to 40% savings

    Contact Sales

Enterprise-Grade Security

Your data and models remain fully under your control with industry-leading security standards.

  • SOC 2 Type II


    Comprehensive security controls audited by third parties.

  • HIPAA Compliant

    Healthcare-grade data protection for sensitive workloads.

  • Model Ownership

    You own your fine-tuned models and can deploy anywhere.

  • US-Based Infrastructure

    Models hosted on secure North American servers with strict data sovereignty controls.

Real Performance Benchmarks

See how Qwen3-235B-A22B delivers SOTA performance, outperforming leading models across reasoning, math & coding.

Qwen3-235B-A22B

Model

MATH-500

AIME'24

AIME'25

Live Code Bench v5

CodeForces Rating

Qwen3-235B-A22B

98.0%

85.7

81.5

70.7

2056

OpenAI o1

96.4%

74.3

79.2

63.9

1891

DeepSeek-R1

97.3%

79.8

70.0

64.3

2029

Gemini2.5-Pro

98.0%

92.0

86.7

70.4

2001

Try Qwen Models Now - Free

Experience the performance difference in Together Chat.

Launch Together ChatView API Docs

Frequently Asked Questions

What makes Qwen3's agentic capabilities different from other models?

Qwen3-Coder-480B-A35B is trained specifically for autonomous task completion with long-horizon RL across 20,000 parallel environments. It achieves Claude Sonnet 4 level performance on complex coding tasks and tool usage while remaining completely open-source.

How does Qwen performance compare to OpenAI O3 and O4-mini?

Qwen3-235B-A22B-Thinking-2507 outperforms OpenAI O3 on key benchmarks: 92 vs 88.0 on AIME'25, 83 vs 82.5 on HMMT'25. Our models achieve frontier performance while using significantly fewer activated parameters with MoE efficiency.

What makes Qwen3's hybrid thinking different from other reasoning models?

Qwen3-235B-A22B introduces controllable thinking modes where you can switch between instant responses and step-by-step reasoning with a simple parameter. Unlike models that always use long reasoning chains, Qwen3 adapts its computational budget to the task complexity, providing optimal efficiency with MoE architecture.

How does Qwen performance compare to OpenAI o1?

Qwen3-235B-A22B outperforms OpenAI o1 on key benchmarks: 85.7 vs 74.3 on AIME'24, 98.0% vs 96.4% on MATH-500, and 2,056 vs 1,891 CodeForces rating, while using only 22B activated parameters vs o1's larger computational footprint.

What are the current pricing rates for the new Qwen3 models?

- Qwen3-Coder-480B: $2.00 per 1M tokens.
- Qwen3-235B-Thinking: $0.65/$3.00.
- Qwen3-235B-Instruct: $0.20/$0.60.
- Qwen3-235B-A22B-FP8: $0.20 input/$0.60 output.
- Qwen2.5-VL-72B: $1.95 input/$8 output.
- QwQ-32B: $1.20 per 1M tokens.
- Qwen2.5-Coder-32B: $0.80 per 1M tokens
- Qwen2.5-7B-Turbo: $0.30 per 1M tokens.

Volume discounts available for enterprise.

Can I fine-tune Qwen models on my own data?

Yes! All Qwen models are released under Apache 2.0 license, meaning you can fine-tune them on your specific use cases and own the resulting model weights. Deploy anywhere without restrictions or licensing fees.

Which Qwen model should I choose for my use case?

- For agentic tasks: Qwen3-Coder-480B for autonomous coding and workflows.
- For deep reasoning: Qwen3-235B-Thinking.
- For fast responses: Qwen3-235B-Instruct.
- For vision: Qwen2.5-VL-72B.
- For efficiency: Qwen2.5-7B-Turbo.

How do I enable thinking vs agentic modes?

wen3-235B-Thinking automatically uses thinking mode. For agentic capabilities, use Qwen3-Coder-480B with tool access. Both models support up to 1M context length with extrapolation for complex tasks.

What context lengths are supported across models?

- Qwen3-Coder-480B: 256K tokens (1M with extrapolation)
- Qwen3-235B models: 256K tokens (1M with extrapolation)
- Qwen2.5-VL-72B: Dynamic resolution
- Qwen2.5-7B-Turbo: 131K tokens

What deployment options are available for Qwen3?

All models support Serverless pay-per-token pricing, On-Demand Dedicated reserved capacity, and VPC/On-Premise deployment. Qwen3 models excel in both cloud and edge deployment scenarios with complete model ownership.

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