Alibaba Qwen
Qwen3 235B A22B
Released Apr 29, 2025 · 118B tokens this week · 5 providers
Overview
A large mixture-of-experts with only about 22B active parameters per token, so it serves far more cheaply than its size suggests. Supports switchable thinking and non-thinking modes in one checkpoint. A strong open-weight generalist.
Providers
Reference data — not yet measured from live traffic
| PROVIDER | MAX OUT | OUTPUT /M | QUANT | |||||
|---|---|---|---|---|---|---|---|---|
DeepInfraCheapest | 262K | 33K | $0.13 | $0.60 | 540ms | 105 | 98.80% | fp8 |
Novita AI | 262K | 33K | $0.14 | $0.64 | 600ms | 90 | 98.50% | fp8 |
Together AI | 262K | 33K | $0.15 | $0.67 | 195ms | 135 | 99.40% | Full |
Fireworks AI | 262K | 33K | $0.15 | $0.69 | 460ms | 150 | 99.50% | Full |
Cerebras | 131K | 33K | $0.16 | $0.72 | 200ms | 1400 | 99.60% | 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/qwen3-235b-a22b",
"messages": [
{ "role": "user", "content": "Summarize the tradeoffs of speculative decoding." }
]
}'