OpenAI compatible API · Attested · Public status
DeepSeek: DeepSeek V3.2 Exp vs Meta: Llama 3.1 70B Instruct
Compare DeepSeek: DeepSeek V3.2 Exp and Meta: Llama 3.1 70B Instruct by providers, context, price, and TrustedRouter route support.
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
Compare routesProviders, price, context, and policy posture in one view.
Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.
Same API shapeUse the OpenAI client and set the model you want.
Practical read
DeepSeek: DeepSeek V3.2 Exp has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V3.2 Exp has more provider fallback routes, while DeepSeek: DeepSeek V3.2 Exp has the larger context window. Probe-backed speed data is shown when enough recent samples exist.
$0.714/1MDeepSeek: DeepSeek V3.2 Exp cheapest route
$0.84/1MMeta: Llama 3.1 70B Instruct cheapest route
not enough dataDeepSeek: DeepSeek V3.2 Exp measured p50 TTFT
not enough dataMeta: Llama 3.1 70B Instruct measured p50 TTFT
DeepSeek: DeepSeek V3.2 ExpMeta: Llama 3.1 70B Instruct
Model id
deepseek/deepseek-v3.2-expmeta-llama/llama-3.1-70b-instruct
PublisherDeepSeekCerebras
AI IQ
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Context163,840 tokens131,072 tokens
Provider routes54
Cheapest route$0.714/1M$0.84/1M
Privacy postureprovider posture variesprovider posture varies
Modes
chat
chat
DeepSeek: DeepSeek V3.2 Exp routes
Production choice
Pick a default model. Keep fallback enabled.
TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.
OpenAI clientPython
client = OpenAI(
base_url="https://gchircrcif.eu-west-3.awsapprunner.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="deepseek/deepseek-v3.2-exp",
messages=messages,
)