Qwen • Coding

Use Qwen3 Coder 480B FP8 for Free

Qwen3 Coder 480B FP8 brings the world's largest open coding model to accessible hardware — FP8 quantization reduces memory requirements without meaningfully compromising the model's remarkable coding capability.

3,000+ registered users 100+ daily active No credit card required No API key needed Released 2025 480B total (35B active) FP8 parameters

What Is Qwen3 Coder 480B FP8? — Complete Guide

Qwen3 Coder 480B FP8 is an AI model released 2025 by Qwen, a leading organization in large language model research. FP8 version of the flagship Qwen3 Coder 480B — same elite capabilities at reduced inference cost. With 480B total (35B active) FP8 and a a large context window context window, Qwen3 Coder 480B FP8 is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

Qwen3 Coder 480B FP8 uses a dense transformer architecture with 480B total (35B active) FP8 of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. Qwen's training pipeline combined large-scale pretraining on a large-scale multilingual pretraining dataset with supervised fine-tuning and alignment techniques (RLHF or DPO), producing Qwen3 Coder 480B FP8's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, Qwen3 Coder 480B FP8 by Qwen demonstrates measurable performance on standard AI evaluation benchmarks. On HumanEval — which tests ability to write correct functions from docstrings — it achieves 95.9%. For software engineering tasks, Qwen3 Coder 480B FP8 scores 95.9% on HumanEval, which tests ability to write correct functions from docstrings. These scores place Qwen3 Coder 480B FP8 — at 480B total (35B active) FP8 of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of Qwen3 Coder 480B FP8 are: FP8 version of Qwen3 Coder 480B for reduced memory footprint; Near-full-precision quality at lower VRAM cost. These make it particularly well-suited for Efficient frontier coding model deployment. Users working on complex, multi-step problems benefit most from Qwen3 Coder 480B FP8's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, Qwen3 Coder 480B FP8 has limitations: Still requires 8xA100 or equivalent for practical inference; Minor quality degradation vs. FP16 on subtle algorithm nuances; Limited community tooling compared to smaller models. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. Qwen continues to improve Qwen3 Coder 480B FP8 through ongoing research.

Qwen3 Coder 480B FP8 is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making Qwen3 Coder 480B FP8 accessible to students, researchers, developers, and early-stage teams globally.

Qwen3 Coder 480B FP8 Capabilities

Coding
Code generation, debugging, refactoring
Fast Inference
Optimized for quick responses

Qwen3 Coder 480B FP8 — Technical Specifications

Provider
Qwen
Parameters
480B total (35B active) FP8
Released
2025
Speed
slow
License
Apache 2.0
Origin
China
Architecture: Qwen3 Coder 480B-A35B in FP8 quantization
Open Source: Yes — model weights publicly available

Benchmark Performance — Qwen3 Coder 480B FP8

HumanEval
OpenAI's Python coding benchmark — tests ability to write correct functions from docstrings
95.9%
LiveCodeBench
Real-world coding benchmark drawn from LeetCode, CodeForces, and GitHub — tests practical software engineering
77.8%
SWE-bench Verified
Software Engineering benchmark — tests ability to resolve real GitHub issues in production Python repositories
62.9%

As of 2026-10-16, Qwen3 Coder 480B FP8 by Qwen demonstrates measurable performance on standard AI evaluation benchmarks. On HumanEval — which tests ability to write correct functions from docstrings — it achieves 95.9%. For software engineering tasks, Qwen3 Coder 480B FP8 scores 95.9% on HumanEval, which tests ability to write correct functions from docstrings. These scores place Qwen3 Coder 480B FP8 — at 480B total (35B active) FP8 of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

Best Use Cases

Efficient frontier coding model deployment

Why Choose Qwen3 Coder 480B FP8?

FP8 version of Qwen3 Coder 480B for reduced memory footprint
Near-full-precision quality at lower VRAM cost

Strengths

FP8 version of Qwen3 Coder 480B for reduced memory footprint
Near-full-precision quality at lower VRAM cost

Limitations

Still requires 8xA100 or equivalent for practical inference
Minor quality degradation vs. FP16 on subtle algorithm nuances
Limited community tooling compared to smaller models

Architecture & Technical Design

Qwen3 Coder 480B-A35B in FP8 quantization

The training pipeline for Qwen3 Coder 480B FP8 involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. Qwen's research team — based in China — has optimized Qwen3 Coder 480B FP8 for the specific capability profile described above.

Inference efficiency: Qwen3 Coder 480B FP8 at 480B total (35B active) FP8 is designed to deliver quality outputs at practical serving speeds. Its context capacity supports complex multi-turn conversations without quality degradation.

How to Use Qwen3 Coder 480B FP8 on LITHOVEX AI

Getting started with Qwen3 Coder 480B FP8 on LITHOVEX AI takes under two minutes. Follow these steps:

1. Create your free account — Visit the LITHOVEX AI sign-up page and register with your email. No credit card. Takes about 30 seconds.
2. Select Qwen3 Coder 480B FP8 — Search for "Qwen3 Coder 480B FP8" in the model browser or browse by Qwen. Click to open the chat interface.
3. Start your first conversation — Type your question or task. Paste code, ask for analysis, or upload documents directly.
4. Refine and iterate — Ask follow-up questions, request revisions, or try alternative approaches. Qwen3 Coder 480B FP8 maintains full conversation context.
5. Compare with other models — Switch to any of LITHOVEX AI's 200+ models to compare outputs and find the best fit for your task — no additional subscriptions needed.

For best results with Qwen3 Coder 480B FP8: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

Real-World Use Cases — Qwen3 Coder 480B FP8

Example 1

Self-hosted frontier coding AI on 8xA100 setups

Example 2

Privacy-critical code assistance for enterprise security teams

Example 3

Offline coding intelligence for air-gapped development environments

Example 4

Cost-efficient frontier coding for well-funded startups

Example 5

High-quality code generation for competitive programming

About Qwen

Qwen (Tongyi Qianwen) is the AI model family from Alibaba Cloud, the cloud computing arm of Alibaba Group — one of the world's largest technology companies with over $100 billion in annual revenue. Alibaba invested in AI research through its DAMO Academy starting in 2017. The Qwen3 generation, released in April 2025, represents a major leap in open-model capability: models from 8B to 235B parameters, with hybrid thinking modes and 119-language support, all released under Apache 2.0 licenses for commercial use. Qwen models consistently rank at the top of the Open LLM Leaderboard and have been widely adopted across Asia, Europe, and North America for both commercial and research applications.

Funding: Part of Alibaba Group (NYSE: BABA, $100B+ annual revenue)

Founded: 1999, headquartered in China.

Visit the official Qwen website →

Why pay when Qwen3 Coder 480B FP8 is free on LITHOVEX AI?

Official/Direct Access

Qwen3 Coder 480B FP8 (480B total (35B active) FP8) is a ultra-tier Qwen model released by Alibaba Cloud under Apache 2.0 — free for commercial use globally. Download from HuggingFace or Alibaba ModelScope at no cost. Despite being a large MoE model, active parameter routing keeps API costs competitive. Alibaba Cloud DashScope API: ~$0.80/M input tokens, ~$1.50/M output tokens. Coder-specific pricing may apply on some third-party platforms. Third-party APIs (Together AI, Replicate, Groq): typically $0.64–$1.80/M tokens. On LITHOVEX AI, Qwen3 Coder 480B FP8 is available for free — no API key or Alibaba account required.
Subscription or per-token billing required
API key setup and billing configuration
Usage limits and overage fees
Credit card required upfront
Separate subscriptions for each model

LITHOVEX AI — Free Account

On LITHOVEX AI, access Qwen3 Coder 480B FP8 and 200+ other frontier models with a single free account — no API key, no subscription, no credit card.
Free account access — no subscription required
No API key required
No credit card required
Same model, identical output quality
200+ models under one account, $0

How Qwen3 Coder 480B FP8 Compares to Alternatives

Qwen3 Coder 480B FP8 by Qwen competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

Qwen3 Coder 480B FP8 vs Qwen3 Coder 480B
Qwen • 480B total (35B active)
Metric Qwen3 Coder 480B FP8 Qwen3 Coder 480B
Parameters 480B total (35B active) FP8 480B total (35B active)
Context Window a large context window 128K tokens
Open Source Yes Yes
Reasoning — Yes
Vision / Multimodal — —
HumanEval 95.9% 95.8%
LiveCodeBench 77.8% 75.3%
SWE-bench Verified 62.9% 54.2%
Where Qwen3 Coder 480B wins
Extended chain-of-thought reasoning
Where Qwen3 Coder 480B FP8 wins
Qwen3 Coder 480B FP8 outscores Qwen3 Coder 480B on HumanEval
Verdict: Qwen3 Coder 480B FP8 and Qwen3 Coder 480B serve overlapping needs. Test both free on LITHOVEX AI to find the better fit for your workflow.

Both Qwen3 Coder 480B FP8 and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

Download & Self-Host Qwen3 Coder 480B FP8

Qwen3 Coder 480B FP8 is released under Apache 2.0, which means you can download and run it on your own hardware. Below are the quickest ways to get started.

Hardware Requirements

Format File Size VRAM RAM
FP16 (Full precision) ~200GB+ 80GB+ 80GB+
GPTQ / AWQ 4-bit ~100GB+ 40GB+ 40GB+
GGUF Q4_K_M (CPU-OK) ~50GB+ CPU-only OK 40GB+

Quick Start — Ollama

# Pull and run Qwen3 Coder 480B FP8
ollama pull qwen3-coder-480b-a35b-instruct-fp8
ollama run qwen3-coder-480b-a35b-instruct-fp8

Quick Start — Python / HuggingFace Transformers

# Install and load Qwen3 Coder 480B FP8
from
transformers
import
AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8")
Skip the hardware setup entirely.

LITHOVEX AI runs Qwen3 Coder 480B FP8 on cloud infrastructure, so you can use it instantly in your browser without downloading anything, configuring drivers, or managing VRAM. Create a free account and start in under 60 seconds.

HuggingFace Model Card Ollama Library

Global Availability & International Use

The FP8 variant makes the 480B Coder accessible to engineering teams globally who want self-hosted frontier coding AI without the full multi-GPU overhead. A milestone for open-source AI democratization across all markets.

Qwen3 Coder 480B FP8 — Version History & Updates

Qwen3 Coder 480B FP8 by Qwen has the following version history and notable updates:

2025 — Qwen3 Coder 480B FP8 released by Qwen. Initial public release.
As of June 2026 — Qwen3 Coder 480B FP8 remains actively available on LITHOVEX AI. Check the official Qwen page for the latest updates and improvements.

For the complete changelog and latest release notes, visit the official Qwen model page.

Frequently Asked Questions — Qwen3 Coder 480B FP8

What is Qwen3 Coder 480B FP8?
Qwen3 Coder 480B FP8 is an advanced AI model developed by Qwen headquartered in China. FP8 version of the flagship Qwen3 Coder 480B — same elite capabilities at reduced inference cost. It uses Qwen3 Coder 480B-A35B in FP8 quantization, with 480B total (35B active) FP8 of learned knowledge and supports a large context window. As of 2026-10-16, Qwen3 Coder 480B FP8 is available on LITHOVEX AI with a free account — no API key, no credit card, and no installation required. You can start using it from any modern web browser in under two minutes.
Can I use Qwen3 Coder 480B FP8 for free on LITHOVEX AI?
Yes — LITHOVEX AI provides free access to Qwen3 Coder 480B FP8 through a free account. Direct API access from Qwen requires billing setup, API key management, and careful token-usage monitoring. LITHOVEX AI removes all those barriers: sign up once with your email address, and you immediately unlock Qwen3 Coder 480B FP8 alongside 200+ other frontier AI models. Free accounts include generous daily message limits designed for real professional and research workflows.
What are the best use cases for Qwen3 Coder 480B FP8?
Qwen3 Coder 480B FP8 is optimally suited for Efficient frontier coding model deployment. Qwen designed and trained this model specifically to excel at tasks that require accurate, multi-language code generation and software engineering workflows. Professionals report strong results in .
How large is the context window of Qwen3 Coder 480B FP8?
Qwen3 Coder 480B FP8 supports a large context window. A context window determines how much text the model can read and reason over in a single session — from conversation history and code files to legal documents and research papers. This context size covers most professional documents and extended conversations without losing earlier context. The full context window is available on LITHOVEX AI.
What makes Qwen3 Coder 480B FP8 different from other AI models?
Qwen3 Coder 480B FP8 stands out because of FP8 version of Qwen3 Coder 480B for reduced memory footprint. Near-full-precision quality at lower VRAM cost. Built by Qwen, it is trained on a large-scale multilingual dataset using a carefully optimized training pipeline combining large-scale pretraining with instruction tuning and alignment. Its recorded benchmark scores — HumanEval: 95.9%, LiveCodeBench: 77.8%, SWE-bench Verified: 62.9% — validate its competitive position. These qualities make it a strong choice compared to other frontier models on LITHOVEX AI, particularly for users prioritizing FP8 version of Qwen3 Coder 480B for reduced memory footprint.
How does Qwen3 Coder 480B FP8 perform on benchmarks?
Qwen3 Coder 480B FP8 has been evaluated on independent AI benchmarks with the following results: HumanEval — 95.9%; LiveCodeBench — 77.8%; SWE-bench Verified — 62.9%. Benchmarks measure specific capabilities: MMLU tests breadth of world knowledge, HumanEval tests Python code generation accuracy, MATH and AIME test mathematical reasoning, and IFEval tests instruction-following reliability. Real-world performance on your specific tasks may differ from controlled benchmark conditions.
Is Qwen3 Coder 480B FP8 open-source?
Yes — Qwen3 Coder 480B FP8 is released under the Apache 2.0 license. This means you can download the model weights, run them locally, fine-tune on your own data, and even use the model commercially (subject to license terms). The Apache 2.0 is one of the most permissive open licenses available, allowing broad commercial and research use with minimal restrictions. Weights are available on HuggingFace.
What is the architecture of Qwen3 Coder 480B FP8?
Qwen3 Coder 480B FP8 is built on Qwen3 Coder 480B-A35B in FP8 quantization. This is a dense transformer architecture where all 480B total (35B active) FP8 are active for every input token. Dense models provide predictable, consistent quality across all task types. Qwen's training pipeline — large-scale pretraining, supervised fine-tuning, and alignment — produces the characteristic capabilities Qwen3 Coder 480B FP8 is known for.
Is Qwen3 Coder 480B FP8 safe for enterprise and professional use?
Qwen3 Coder 480B FP8 has undergone instruction tuning and alignment to reduce harmful, biased, or factually incorrect outputs. For enterprise use: all LITHOVEX AI requests travel over encrypted HTTPS connections. For organizations with strict compliance requirements (HIPAA, SOC 2, GDPR, PDPA), review both Qwen's data processing terms and LITHOVEX AI's privacy policy. For workloads involving regulated personal data or proprietary intellectual property, consider a self-hosted deployment using the open model weights (which are available under the Apache 2.0 license). LITHOVEX AI's free tier is appropriate for professional research, development, and content-generation workflows.
How does Qwen3 Coder 480B FP8 compare to GPT-4o and Claude?
Qwen3 Coder 480B FP8 and GPT-4o/Claude compete in different dimensions. GPT-4o excels at multimodal reasoning and has the most extensive ecosystem integrations; Claude models are known for accuracy, long-context coherence, and instruction-following nuance. Qwen3 Coder 480B FP8 — by Qwen — offers FP8 version of Qwen3 Coder 480B for reduced memory footprint, which makes it particularly attractive for organizations needing open weights and cost control. The best model for any given task depends on your specific workflow. LITHOVEX AI gives you access to all these models so you can compare them directly on your actual tasks without paying multiple API subscriptions.
What training data was Qwen3 Coder 480B FP8 trained on?
Qwen3 Coder 480B FP8 was trained on a large-scale multilingual dataset. The knowledge cutoff date is check official documentation for current cutoff date. Like all large language models, Qwen3 Coder 480B FP8's training data shapes its factual knowledge, language capabilities, and inherent biases. For the most accurate and current information on specific topics, always verify critical facts from authoritative sources.
Can I use Qwen3 Coder 480B FP8 on mobile?
Yes. LITHOVEX AI is fully responsive and optimized for mobile browsers on iOS and Android. Qwen3 Coder 480B FP8 runs entirely server-side — your phone only needs a stable internet connection and a modern browser (Chrome, Safari, Firefox). The interface automatically adapts to smaller screens, making it practical for quick tasks, brainstorming, code review, and document analysis from anywhere in the world.
What programming languages does Qwen3 Coder 480B FP8 support for coding?
Qwen3 Coder 480B FP8 has strong coding capabilities and supports a broad range of programming languages including Python, JavaScript/TypeScript, Go, Rust, Java, C/C++, SQL, Shell/Bash, Ruby, PHP, Swift, and many others. Qwen trained Qwen3 Coder 480B FP8 on extensive code corpora, enabling high-quality generation, debugging, refactoring, and explanation across all major languages. It performs particularly well on Efficient frontier coding model deployment.
Is there a usage limit when using Qwen3 Coder 480B FP8 on LITHOVEX AI?
Free accounts on LITHOVEX AI include generous daily message limits designed to accommodate real professional workflows. You will not hit a limit in the middle of a normal working session. Premium accounts (at $40/month) offer higher or unlimited throughput for power users, API builders, and teams with production workloads. Unlike direct API access — which charges per token and requires prepayment — LITHOVEX AI's free tier lets you use Qwen3 Coder 480B FP8 extensively before committing to any paid plan.
Who built Qwen3 Coder 480B FP8 and who is Qwen?
Qwen3 Coder 480B FP8 was created by Qwen headquartered in China, founded in 1999. Qwen (Tongyi Qianwen) is the AI model family from Alibaba Cloud, the cloud computing arm of Alibaba Group — one of the world's largest technology companies with over $100 billion in annual revenue. Alibaba invested in AI research through its DAMO Academy starting in 2017. The Qwen3 generation, released in April 2025, represents a major leap in open... Their work has contributed significantly to the open AI ecosystem, and Qwen3 Coder 480B FP8 represents one of their most notable contributions.
What alternatives to Qwen3 Coder 480B FP8 are available on LITHOVEX AI?
LITHOVEX AI offers 200+ AI models. If Qwen3 Coder 480B FP8 does not perfectly fit your workflow, strong alternatives include other frontier models on LITHOVEX AI. These share similar capabilities but may differ in context window size, speed, parameter count, or task specialization. You can switch between models mid-session on LITHOVEX AI and compare outputs directly — making it easy to find the best model for your specific needs without paying multiple API subscriptions.
Does Qwen3 Coder 480B FP8 support image or vision inputs?
Qwen3 Coder 480B FP8 is a text-only model and does not process image inputs. For vision tasks, LITHOVEX AI offers several multimodal alternatives — including Qwen VL, LLaVA, Gemma 3, and IDEFICS2 — all accessible with the same free account.
Can I download Qwen3 Coder 480B FP8 and run it locally?
Yes — Qwen3 Coder 480B FP8 is available for download under the Apache 2.0 license. You can find the model weights on HuggingFace. For local deployment, the easiest method is Ollama — run "ollama pull qwen3-coder-480b-a35b-instruct-fp8" to download and "ollama run" to start it. LM Studio also supports Qwen3 Coder 480B FP8 for a desktop GUI experience. Hardware requirements depend on the quantization format: FP16 needs 80GB+, while 4-bit quantized GGUF files run with lower VRAM. For users who don't want to manage local hardware, LITHOVEX AI provides free cloud access to Qwen3 Coder 480B FP8 with no setup required.
How much does Qwen3 Coder 480B FP8 cost to use?
On LITHOVEX AI, Qwen3 Coder 480B FP8 is free — create a free account and start chatting with no credit card required. Through official channels, Apache 2.0 — free. For most individual users, researchers, and small teams, LITHOVEX AI's free tier provides sufficient access. Enterprise teams needing higher throughput or API integration can upgrade to LITHOVEX AI Premium at $40/month, which unlocks all 200+ models with high-volume access.

Open-source AI at its finest — use Qwen3 Coder 480B FP8 free on LITHOVEX AI.

Qwen3 Coder 480B FP8 is openly licensed and available for anyone to use. LITHOVEX AI removes all the setup friction — one free account, instant access.

Get Free Access — No Credit Card