Qwen · Open weights
Qwen 3 Coder 480B
Qwen 3 Coder 480B, a 480 billion total parameter model with 35B active, and 160 total experts with 8 active. Performs similar to Claude 4 Sonnet in coding benchmarks, but does so at a much lower price.
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.13
- Output
- $0.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262K
- Max output
- 65.5K
- Average output (7 days)
- 315 tokens
- Longer than 33% of 465 models
Side by side
Qwen 3 Coder 480B compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Qwen 3 Coder 480BQwenThis model | Qwen 2.5 Coder 32bQwenRemove | |
|---|---|---|
| Provider | Qwen | Qwen |
| Discovery tier | Open weights | Open weights |
| Added | Mar 17, 2026 | Jul 3, 2025 |
| Limits | ||
| Context window | 262KBest | 32K |
| Max output | 65.54KBest | 8.19K |
| Average output | 315 tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $0.13Best | $0.20 |
| Output | $0.50 | $0.20Best |
| Performance | ||
| Throughput | 109.8 tok/s | — |
| Time to first token | 2.1 s | — |
| Request success (24h) | 95.1% | — |
| Benchmark indexes | ||
| Intelligence Index | 11.9 | — |
| Math Index | 39.3 | — |
| Capabilities | ||
| Tools | Yes | No |
| Structured output | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Qwen 3 Coder 480B
- Qwen 2.5 Coder 32b
Intelligence Index
- Qwen 3 Coder 480B11.9
- Qwen 2.5 Coder 32b—
Qwen 3 Coder 480B: Better than 26% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- Qwen 3 Coder 480B: 39.3
- Qwen 2.5 Coder 32b: —
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Qwen 3 Coder 480B: 45.7%
- Qwen 2.5 Coder 32b: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Qwen 3 Coder 480B: 4.5%
- Qwen 2.5 Coder 32b: —
GPQA Diamond
Graduate-level science questions
- Qwen 3 Coder 480B: 61.8%
- Qwen 2.5 Coder 32b: —
MMLU-Pro
Multi-subject knowledge and reasoning
- Qwen 3 Coder 480B: 78.8%
- Qwen 2.5 Coder 32b: —
IFBench
Following precise output instructions
- Qwen 3 Coder 480B: 40.5%
- Qwen 2.5 Coder 32b: —
Coding
LiveCodeBench
Recent competitive programming problems
- Qwen 3 Coder 480B: 58.5%
- Qwen 2.5 Coder 32b: —
Math
AIME 2025
Competition mathematics, 2025 problems
- Qwen 3 Coder 480B: 39.3%
- Qwen 2.5 Coder 32b: —
AIME
Competition mathematics
- Qwen 3 Coder 480B: 47.7%
- Qwen 2.5 Coder 32b: —
MATH-500
Competition math problems
- Qwen 3 Coder 480B: 94.2%
- Qwen 2.5 Coder 32b: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Qwen 3 Coder 480B: 18.9%
- Qwen 2.5 Coder 32b: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- Qwen 3 Coder 480B: 43.6%
- Qwen 2.5 Coder 32b: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Qwen 3 Coder 480B: 45.7%
- Qwen 2.5 Coder 32b: —
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 109.8 tok/s
- Faster than 64% of 250 models
- Time to first token
- 2.1 s
- Quicker than 74% of 250 models
- Prompt cache hits
- 75.3%
- Request success (24h)
- 95.1%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3-coder",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="qwen/qwen3-coder",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Qwen
Related models
Other Qwen models, starting with the same family.