jishie

Qwen3.8 Max

vancine/qwen3.8-max · family qwen · in: text, image, video, pdf → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text image video pdf.

$2.40
Blended $/1M (3:1)
$1.6
Input $/1M
$4.8
Output $/1M
$6.40
1M in + 1M out
$0.2 −88%
Cache read $/1M
#5863 of 8,276
Cheapest rank
Provider
Vancine (vancine)
Kind
text (outputs text)
Context
1,000,000 tokens
Max output
131,072 tokens
Capabilities
tools reasoning text image video pdf

Same model, other providers

“Qwen3.8 Max” is offered by 29 providers — cheapest-effective first. Alibaba Token Plan is the cheapest at $0.00 blended.

ProviderInputOutputBlendedContext
Alibaba Token Planfreefree$0.001M
Alibaba Token Plan (China)freefree$0.001M
SCNet Token Planfreefree$0.001M
Kenarifreefree$0.001M
Vancine (this)$1.6$4.8$2.401M
Deep Infra$1.65$4.95$2.48256k
AIHubMix$1.69$5.07$2.54991k
Ofox$1.71$5.14$2.571M
Alibaba (China)$1.78$5.33$2.671M
SCX.ai$1.82$5.45$2.721M
CrossModel$1.88$5.63$2.821M
EmpirioLabs AI$2$6$3.001M
NanoGPT$2$6$3.00991k

Call it

jishie indexes & prices models; it does not proxy inference.

Most providers are OpenAI-compatible — point base_url at Vancine 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-max","messages":[{"role":"user","content":"hello"}]}'

Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):

← all Vancine models · model index · JSON