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DeepSeek: DeepSeek V3.2 vs Llama 4 Scout Instruct

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V3.2 and Llama 4 Scout Instruct. Switch by changing the model name.

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 V3.2 has more Credits provider routes and the lower measured p50 time to first token. Llama 4 Scout Instruct has the lower published input-plus-output rate. Their context windows are the same size.

$0.6752/1MDeepSeek: DeepSeek V3.2 cheapest route

$0.422/1MLlama 4 Scout Instruct cheapest route

1463 msDeepSeek: DeepSeek V3.2 fastest measured p50 TTFT via amazon-bedrock

2387 msLlama 4 Scout Instruct 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 V3.2Llama 4 Scout Instruct

Model iddeepseek/deepseek-v3.2meta-llama/llama-4-scout-17b-16e-instruct

Publisher DeepSeek Meta

AI IQ IQ 101#118 —

Context131,072 tokens131,072 tokens

Credits provider routes73

Cheapest route$0.6752/1M$0.422/1M

Cached input$0.1055/1M to $0.714109/1MNot published

Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies

Fastest measured p50 TTFT1463 ms via amazon-bedrock2387 ms via cloudflare-workers-ai

Highest measured throughputnot enough datanot enough data

Recent route uptime range66.67% to 100.00%0.00% to 100.00%

Modes chat chat

DeepSeek: DeepSeek V3.2 routes

Overview7 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Llama 4 Scout Instruct routes

Overview3 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-v3.2",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V3.2 or Llama 4 Scout Instruct?

Is DeepSeek: DeepSeek V3.2 or Llama 4 Scout Instruct cheaper?

The current cheapest TrustedRouter route is $0.6752/1M for DeepSeek: DeepSeek V3.2 and $0.422/1M for Llama 4 Scout Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V3.2 or Llama 4 Scout Instruct faster?

Current measured p50 time to first token is 1463 ms for DeepSeek: DeepSeek V3.2 and 2387 ms for Llama 4 Scout Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V3.2 and Llama 4 Scout 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-v3.2 and meta-llama/llama-4-scout-17b-16e-instruct. This makes side-by-side evals possible without maintaining two provider integrations.