OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Pro 0423 vs @cf/meta/llama-3.3-70b-instruct-fp8-fast

DeepSeek V4 Pro 0423 vs @cf/meta/llama-3.3-70b-instruct-fp8-fast: 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

DeepSeek V4 Pro 0423 has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.79125/1MDeepSeek: DeepSeek V4 Pro 0423 cheapest route

$2.68603/1M@cf/meta/llama-3.3-70b-instruct-fp8-fast cheapest route

1070 msDeepSeek: DeepSeek V4 Pro 0423 fastest measured p50 TTFT via venice

1480 ms@cf/meta/llama-3.3-70b-instruct-fp8-fast fastest measured p50 TTFT via cloudflare-workers-ai

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. 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: DeepSeek V4 Pro 0423@cf/meta/llama-3.3-70b-instruct-fp8-fast

Model iddeepseek/deepseek-v4-prometa-llama/llama-3.3-70b-instruct-fp8-fast

Publisher DeepSeek Cerebras

AI IQ IQ 114#45 —

Context1,048,576 tokens24,000 tokens

Credits provider routes171

Cheapest route$0.79125/1M$2.68603/1M

Cached input$0.01/1M to $0.91574/1MNot published

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1070 ms via venice1480 ms via cloudflare-workers-ai

Highest measured throughputnot enough datanot enough data

Recent route uptime range50.00% to 100.00%100.00%

Modes chat chat

DeepSeek: DeepSeek V4 Pro 0423 routes

Overview17 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

@cf/meta/llama-3.3-70b-instruct-fp8-fast routes

Overview1 Credits 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",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4 Pro 0423 or @cf/meta/llama-3.3-70b-instruct-fp8-fast?

DeepSeek V4 Pro 0423 has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is DeepSeek: DeepSeek V4 Pro 0423 or @cf/meta/llama-3.3-70b-instruct-fp8-fast cheaper?

The current cheapest TrustedRouter route is $0.79125/1M for DeepSeek: DeepSeek V4 Pro 0423 and $2.68603/1M for @cf/meta/llama-3.3-70b-instruct-fp8-fast. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Pro 0423 or @cf/meta/llama-3.3-70b-instruct-fp8-fast faster?

Current measured p50 time to first token is 1070 ms for DeepSeek: DeepSeek V4 Pro 0423 and 1480 ms for @cf/meta/llama-3.3-70b-instruct-fp8-fast. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Pro 0423 and @cf/meta/llama-3.3-70b-instruct-fp8-fast 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 and meta-llama/llama-3.3-70b-instruct-fp8-fast. This makes side-by-side evals possible without maintaining two provider integrations.