Qwen3.8 Flash Next
tensorx/qwen/qwen3.8-flash-next · family qwen · in: text, image, video → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text image video.
$0.28
Blended $/1M (3:1)
$0.2
Input $/1M
$0.5
Output $/1M
$0.70
1M in + 1M out
$0.05 −75%
Cache read $/1M
#2061 of 7,412
Cheapest rank
- Provider
- TensorX (
tensorx) - Kind
- text (outputs text)
- Context
- 262,144 tokens
- Max output
- 64,000 tokens
- Capabilities
- tools reasoning text image video
Same model, other providers
“Qwen3.8 Flash Next” is offered by 4 providers — cheapest-effective first. AMD is the cheapest at $0.23 blended.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| AMD | $0.15 | $0.47 | $0.23 | 262k |
| TensorX (this) | $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 TensorX and pass this model id:
curl $BASE_URL/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
-d '{"model":"qwen/qwen3.8-flash-next","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):