Qwen 3.5 35B A3B
venice/qwen3-5-35b-a3b · family qwen · in: text, image, video → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text image video.
$0.55
Blended $/1M (3:1)
$0.3125
Input $/1M
$1.25
Output $/1M
$1.56
1M in + 1M out
$0.1563 −50%
Cache read $/1M
#3078 of 7,712
Cheapest rank
- Provider
- Venice AI (
venice) - Kind
- text (outputs text)
- Context
- 256,000 tokens
- Max output
- 16,384 tokens
- Capabilities
- tools reasoning text image video
Same model, other providers
“Qwen 3.5 35B A3B” is offered by 2 providers — cheapest-effective first. Deep Infra is the cheapest at $0.35 blended.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Deep Infra | $0.14 | $1 | $0.35 | 262k |
| Venice AI (this) | $0.3125 | $1.25 | $0.55 | 256k |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at Venice AI and pass this model id:
curl $BASE_URL/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
-d '{"model":"qwen3-5-35b-a3b","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):