Alibaba Qwen
Qwen3 Coder 480B
Released Jul 23, 2025 · 206B tokens this week · 5 providers
Overview
Qwen's flagship coding mixture-of-experts, trained heavily on repository-level tasks and tool use. It handles long files and multi-step edits well and is the most common open-weight substitute for proprietary coding models. Pairs nicely with agentic CLI harnesses.
Providers
Reference data — not yet measured from live traffic
| PROVIDER | MAX OUT | OUTPUT /M | QUANT | |||||
|---|---|---|---|---|---|---|---|---|
DeepInfraCheapest | 262K | 66K | $0.30 | $1.20 | 620ms | 88 | 98.70% | fp8 |
Novita AI | 262K | 66K | $0.32 | $1.30 | 680ms | 74 | 98.40% | fp8 |
Together AI | 262K | 66K | $0.34 | $1.34 | 195ms | 120 | 99.40% | Full |
Fireworks AI | 262K | 66K | $0.35 | $1.39 | 500ms | 140 | 99.50% | Full |
Cerebras | 131K | 66K | $0.36 | $1.44 | 210ms | 1300 | 99.55% | Full |
Latency p50 reflects a provider’s API endpoint responsiveness — the round-trip to its API, not per-token inference time. These figures, with throughput and uptime, are reference data until the gateway aggregates its own traffic.
Price comparison
Blended $ per 1M tokens
Blended rate per 1M tokens, weighted one part prompt to three parts completion — roughly the shape of a chat workload. Your mix will move the number.
Call it
OpenAI-compatible — swap the base URL and go
curl https://model.cards/api/v1/chat/completions \
-H "Authorization: Bearer $MODELCARDS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3-coder-480b",
"messages": [
{ "role": "user", "content": "Summarize the tradeoffs of speculative decoding." }
]
}'