OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V3.2 vs Meta: Llama 3.3 70B Instruct

Compare DeepSeek: DeepSeek V3.2 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
Noneprompt 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. DeepSeek: DeepSeek V3.2 has more provider fallback routes, while DeepSeek: DeepSeek V3.2 has the larger context window. Current TrustedRouter probes show Meta: Llama 3.3 70B Instruct with the lower p50 TTFT.

$0.672/1MDeepSeek: DeepSeek V3.2 cheapest route
$0.526575/1MMeta: Llama 3.3 70B Instruct cheapest route
2419 msDeepSeek: DeepSeek V3.2 measured p50 TTFT
2242 msMeta: Llama 3.3 70B Instruct measured p50 TTFT
DeepSeek: DeepSeek V3.2Meta: Llama 3.3 70B Instruct
Model iddeepseek/deepseek-v3.2meta-llama/llama-3.3-70b-instruct
PublisherDeepSeekCerebras
AI IQ IQ 104#54
Context163,840 tokens131,072 tokens
Provider routes1514
Cheapest route$0.672/1M$0.526575/1M
Privacy posturehas confidential-compute routehas provider E2EE route
Modes chat chat

DeepSeek: DeepSeek V3.2 routes

Meta: Llama 3.3 70B Instruct 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="deepseek/deepseek-v3.2",
    messages=messages,
)
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