Qwen3.8 Flash Next
vultr/qwen3.8-flash-next · family qwen · in: text, image, video → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text image video.
$0.13
Blended $/1M (3:1)
$0.1
Input $/1M
$0.2
Output $/1M
$0.30
1M in + 1M out
—
Cache read $/1M
#1127 of 7,872
Cheapest rank
- Provider
- Vultr (
vultr) - Kind
- text (outputs text)
- Context
- 262,144 tokens
- Max output
- 131,072 tokens
- Capabilities
- tools reasoning text image video
Same model, other providers
“Qwen3.8 Flash Next” is offered by 5 providers — cheapest-effective first. This one (Vultr) is the cheapest.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Vultr (this) | $0.1 | $0.2 | $0.13 | 262k |
| AMD | $0.15 | $0.47 | $0.23 | 262k |
| TensorX | $0.2 | $0.5 | $0.28 | 262k |
| Requesty | $0.2 | $0.5 | $0.28 | 262k |
| Cortecs | $0.201 | $0.5 | $0.28 | 262k |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at Vultr and pass this model id:
curl $BASE_URL/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
-d '{"model":"qwen3.8-flash-next","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):