Qwen3.8 Flash Next
amd/Qwen3.8-Flash-Next · family qwen · in: text, image → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text image.
$0.23
Blended $/1M (3:1)
$0.15
Input $/1M
$0.47
Output $/1M
$0.62
1M in + 1M out
$0.016 −89%
Cache read $/1M
#1968 of 8,071
Cheapest rank
- Provider
- AMD (
amd) - Kind
- text (outputs text)
- Context
- 262,144 tokens
- Max output
- 131,072 tokens
- Capabilities
- tools reasoning text image
Same model, other providers
“Qwen3.8 Flash Next” is offered by 5 providers — cheapest-effective first. Vultr is the cheapest at $0.13 blended.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Vultr | $0.1 | $0.2 | $0.13 | 262k |
| AMD (this) | $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 AMD 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):