OpenAI compatible API · Attested · Public status

DeepSeek V4 Pro 0423 vs Meta: Llama 3.3 70B Instruct

DeepSeek V4 Pro 0423 vs Meta: Llama 3.3 70B Instruct: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

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

Monthly evidence

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 V4 Pro 0423 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$4.1145/1MDeepSeek V4 Pro 0423 cheapest route
$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route
not enough dataDeepSeek V4 Pro 0423 fastest measured p50 TTFT
1096 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via tinfoil

Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

DeepSeek V4 Pro 0423Meta: Llama 3.3 70B Instruct
Model iddeepseek/deepseek-v4-pro-0423meta-llama/llama-3.3-70b-instruct
AI IQ
Context1,024,000 tokens131,072 tokens
Credits provider routes411
Cheapest route$4.1145/1M$0.564425/1M
Cached input$0.1055/1M to $0.34815/1M$0.1055/1M to $0.633/1M
Privacy posturehas ZDR routehas provider E2EE route
Fastest measured p50 TTFTnot enough data1096 ms via tinfoil
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

DeepSeek V4 Pro 0423 routes

Meta: Llama 3.3 70B Instruct routes

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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-v4-pro-0423",
    messages=messages,
)

Questions

Which should I use, DeepSeek V4 Pro 0423 or Meta: Llama 3.3 70B Instruct?

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 V4 Pro 0423 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

Is DeepSeek V4 Pro 0423 or Meta: Llama 3.3 70B Instruct cheaper?

The current cheapest TrustedRouter route is $4.1145/1M for DeepSeek V4 Pro 0423 and $0.564425/1M for Meta: Llama 3.3 70B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek V4 Pro 0423 or Meta: Llama 3.3 70B Instruct faster?

Current measured p50 time to first token is not enough data for DeepSeek V4 Pro 0423 and 1096 ms for Meta: Llama 3.3 70B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek V4 Pro 0423 and Meta: Llama 3.3 70B Instruct with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between deepseek/deepseek-v4-pro-0423 and meta-llama/llama-3.3-70b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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