jishie

Qwen3.8 27B

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

$1.13
Blended $/1M (3:1)
$0.5
Input $/1M
$3
Output $/1M
$3.50
1M in + 1M out
$0.1 −80%
Cache read $/1M
#4681 of 8,511
Cheapest rank
Provider
Charm Hyper (hyper)
Kind
text (outputs text)
Context
1,000,000 tokens
Max output
128,000 tokens
Capabilities
tools reasoning text image

Same model, other providers

“Qwen3.8 27B” is offered by 46 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$0.15262k
Cortecs$0.1$0.4$0.181M
RunInfra$0.1$0.4$0.18262k
EmpirioLabs AI$0.17$0.5$0.25262k
NanoGPT$0.15$0.7$0.291M
Vultr$0.15$1$0.36262k
NEAR AI Cloud$0.04$1.35$0.37262k
OpenRouter$0.15$1.88$0.581M
Vercel AI Gateway$0.06$2.3$0.62262k
Charm Hyper (this)$0.5$3$1.131M

Call it

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

Most providers are OpenAI-compatible — point base_url at Charm Hyper 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):

← all Charm Hyper models · model index · JSON