jishie

Qwen3.8 27B

liquid/qwen3.8-27b · family qwen · in: text, image, video → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text image video.

$0.19
Blended $/1M (3:1)
$0.08
Input $/1M
$0.525
Output $/1M
$0.60
1M in + 1M out
$0.0525 −34%
Cache read $/1M
#1786 of 9,563
Cheapest rank
Provider
Liquid Inference (liquid)
Kind
text (outputs text)
Context
262,144 tokens
Max output
32,768 tokens
Capabilities
tools reasoning text image video

Same model, other providers

“Qwen3.8 27B” is offered by 65 providers — cheapest-effective first. AMD is the cheapest at $0.00 blended.

ProviderInputOutputBlendedContext
AMDfreefree$0.00262k
IteraComputefreefree$0.00131k
engy$0.045$0.32$0.111M
DevPass (LLM Gateway)$0.08$0.35$0.151M
Entrim$0.1$0.4$0.18262k
RunInfra$0.1$0.4$0.18262k
Cortecs$0.1$0.4$0.181M
Powerspring$0.1044$0.4166$0.181M
Liquid Inference (this)$0.08$0.525$0.19262k
EmpirioLabs AI$0.17$0.5$0.25262k
NanoGPT$0.15$0.7$0.291M
AKI.IO$0.1675$0.7257$0.31262k
CedarLLM$0.03$1.15$0.31262k

Call it

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

Most providers are OpenAI-compatible — point base_url at Liquid Inference and pass this model id:

curl $BASE_URL/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
  -d '{"model":"qwen3.8-27b","messages":[{"role":"user","content":"hello"}]}'

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

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