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
#5086 of 7,009
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 25 providers — cheapest-effective first. Alibaba Token Plan is the cheapest at $0.00 blended.

ProviderInputOutputBlendedContext
Alibaba Token Planfreefree$0.001M
Kenarifreefree$0.001M
SCNet Token Planfreefree$0.001M
Alibaba Token Plan (China)freefree$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
Alibaba (China)$1.78$5.33$2.671M
SCX.ai$1.82$5.45$2.721M
CrossModel$1.88$5.63$2.821M
OrcaRouter$2$6$3.001M
NanoGPT$2$6$3.00991k
OpenRouter$2$6$3.001M

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):

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