OpenAI compatible API. Attested gateway. Public status.

Meta: Llama 3.3 70B Instruct vs DeepSeek: DeepSeek V3.1

Compare Meta: Llama 3.3 70B Instruct and DeepSeek: DeepSeek V3.1 by providers, context, price, and TrustedRouter route support.

Verify gateway
1 URLbase_url migration
100smodels and routes
0prompt logs by default
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

Meta: Llama 3.3 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while DeepSeek: DeepSeek V3.1 has the larger context window. Current TrustedRouter probes show Meta: Llama 3.3 70B Instruct with the lower p50 TTFT.

$0.5885/1MMeta: Llama 3.3 70B Instruct cheapest route
$4.565/1MDeepSeek: DeepSeek V3.1 cheapest route
1981 msMeta: Llama 3.3 70B Instruct measured p50 TTFT
10416 msDeepSeek: DeepSeek V3.1 measured p50 TTFT
Meta: Llama 3.3 70B InstructDeepSeek: DeepSeek V3.1
Model idmeta-llama/llama-3.3-70b-instructdeepseek/deepseek-chat-v3.1
PublisherCerebrasDeepSeek
AI IQ
Context131,072 tokens163,840 tokens
Provider routes153
Cheapest route$0.5885/1M$4.565/1M
Privacy posturehas provider E2EE routehas provider E2EE route
Modes chat chat

Meta: Llama 3.3 70B Instruct routes

DeepSeek: DeepSeek V3.1 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://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="meta-llama/llama-3.3-70b-instruct",
    messages=messages,
)

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