OpenAI compatible API · Attested · Public status

DeepSeek V3.1 vs Meta: Llama 3.1 8B Instruct

DeepSeek V3.1 vs Meta: Llama 3.1 8B 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

DeepSeek V3.1 has more Credits provider routes and the lower measured p50 time to first token. Meta: Llama 3.1 8B Instruct has the lower published input-plus-output rate. Their context windows are the same size.

$1.266/1MDeepSeek V3.1 cheapest route

$0.07385/1MMeta: Llama 3.1 8B Instruct cheapest route

1343 msDeepSeek V3.1 fastest measured p50 TTFT via wandb

1765 msMeta: Llama 3.1 8B Instruct fastest measured p50 TTFT via databricks

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 V3.1Meta: Llama 3.1 8B Instruct

Model iddeepseek/deepseek-v3.1meta-llama/llama-3.1-8b-instruct

Publisher DeepSeek Cerebras

AI IQ IQ 99#111 —

Context131,072 tokens131,072 tokens

Credits provider routes54

Cheapest route$1.266/1M$0.07385/1M

Cached input$0.13715/1M to $0.142425/1M$0.211/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFT1343 ms via wandb1765 ms via databricks

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

DeepSeek V3.1 routes

Overview5 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Meta: Llama 3.1 8B Instruct routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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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-v3.1",
    messages=messages,
)

Questions

Which should I use, DeepSeek V3.1 or Meta: Llama 3.1 8B Instruct?

Is DeepSeek V3.1 or Meta: Llama 3.1 8B Instruct cheaper?

The current cheapest TrustedRouter route is $1.266/1M for DeepSeek V3.1 and $0.07385/1M for Meta: Llama 3.1 8B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek V3.1 or Meta: Llama 3.1 8B Instruct faster?

Current measured p50 time to first token is 1343 ms for DeepSeek V3.1 and 1765 ms for Meta: Llama 3.1 8B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek V3.1 and Meta: Llama 3.1 8B 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-v3.1 and meta-llama/llama-3.1-8b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.