OpenAI compatible API · Attested · Public status

DeepSeek V3 0324 vs Meta: Llama 3.3 70B Instruct

Compare DeepSeek V3 0324 and Meta: Llama 3.3 70B Instruct by providers, context, price, and TrustedRouter route support.

Verify gateway

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

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 V3 0324 has the larger context window. Current TrustedRouter probes show Meta: Llama 3.3 70B Instruct with the lower p50 TTFT.

$1.4595/1MDeepSeek V3 0324 cheapest route

$0.56175/1MMeta: Llama 3.3 70B Instruct cheapest route

1716 msDeepSeek V3 0324 measured p50 TTFT

849 msMeta: Llama 3.3 70B Instruct measured p50 TTFT

DeepSeek V3 0324Meta: Llama 3.3 70B Instruct

Model iddeepseek/deepseek-v3-0324meta-llama/llama-3.3-70b-instruct

PublisherDeepSeekCerebras

AI IQ — —

Context163,840 tokens131,072 tokens

Provider routes414

Cheapest route$1.4595/1M$0.56175/1M

Privacy postureprovider posture varieshas provider E2EE route

Modes chat chat

DeepSeek V3 0324 routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Meta: Llama 3.3 70B Instruct routes

Overview14 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

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="deepseek/deepseek-v3-0324",
    messages=messages,
)