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DeepSeek: DeepSeek V3.2 vs Meta: Llama 4 Maverick

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V3.2 and Llama 4 Maverick. 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 the lower published input-plus-output rate, more Credits provider routes and the larger context window. Meta: Llama 4 Maverick has the lower measured p50 time to first token.

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

$1.1816/1MMeta: Llama 4 Maverick cheapest route

1793 msDeepSeek: DeepSeek V3.2 fastest measured p50 TTFT via digitalocean

1469 msMeta: Llama 4 Maverick fastest measured p50 TTFT via digitalocean

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 V3.2Meta: Llama 4 Maverick

Model iddeepseek/deepseek-v3.2meta-llama/llama-4-maverick

Publisher DeepSeek Meta

AI IQ IQ 102#110 IQ 87#160

Context131,072 tokens128,000 tokens

Credits provider routes93

Cheapest route$0.6752/1M$1.1816/1M

Cached input$0.1055/1M to $0.714109/1M$0.05275/1M to $0.17935/1M

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

Fastest measured p50 TTFT1793 ms via digitalocean1469 ms via digitalocean

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

DeepSeek: DeepSeek V3.2 routes

Overview9 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Meta: Llama 4 Maverick 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 Meta: Llama 4 Maverick?

DeepSeek V3.2 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. Meta: Llama 4 Maverick has the lower measured p50 time to first token.

Is DeepSeek: DeepSeek V3.2 or Meta: Llama 4 Maverick cheaper?

The current cheapest TrustedRouter route is $0.6752/1M for DeepSeek: DeepSeek V3.2 and $1.1816/1M for Meta: Llama 4 Maverick. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V3.2 or Meta: Llama 4 Maverick faster?

Current measured p50 time to first token is 1793 ms for DeepSeek: DeepSeek V3.2 and 1469 ms for Meta: Llama 4 Maverick. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V3.2 and Meta: Llama 4 Maverick 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-maverick. This makes side-by-side evals possible without maintaining two provider integrations.