jishie

Qwen3.8 27B

berget/Qwen/Qwen3.8-27B-FP8 · family qwen · in: text, image → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text image.

$1.22
Blended $/1M (3:1)
$0.46
Input $/1M
$3.48
Output $/1M
$3.94
1M in + 1M out
—
Cache read $/1M
#4769 of 8,504
Cheapest rank
Provider
Berget.AI (berget)
Kind
text (outputs text)
Context
262,144 tokens
Max output
65,536 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
Berget.AI (this)$0.46$3.48$1.22262k

Call it

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

Most providers are OpenAI-compatible — point base_url at Berget.AI and pass this model id:

curl $BASE_URL/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
  -d '{"model":"Qwen/Qwen3.8-27B-FP8","messages":[{"role":"user","content":"hello"}]}'

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

← all Berget.AI models · model index · JSON