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DeepSeek: DeepSeek V3.2 vs Meta: Llama 3.3 70B Instruct

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V3.2 and Llama 3.3 70B 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

Meta: Llama 3.3 70B Instruct has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

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

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route

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

1186 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via scaleway

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 3.3 70B Instruct

Model iddeepseek/deepseek-v3.2meta-llama/llama-3.3-70b-instruct

Publisher DeepSeek Meta

AI IQ IQ 102#110 —

Context131,072 tokens131,072 tokens

Credits provider routes910

Cheapest route$0.6752/1M$0.564425/1M

Cached input$0.1055/1M to $0.714109/1M$0.1055/1M to $0.633/1M

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

Fastest measured p50 TTFT1793 ms via digitalocean1186 ms via scaleway

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat decide

DeepSeek: DeepSeek V3.2 routes

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

Meta: Llama 3.3 70B Instruct routes

Overview10 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Related comparisons

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Meta: Llama 3.3 70B Instruct vs Z.ai: GLM 5.343 combined provider routes
DeepSeek: DeepSeek V3.2 vs Z.ai: GLM 5.342 combined provider routes
Meta: Llama 3.3 70B Instruct vs Z.ai: GLM 5.242 combined provider routes
Meta: Llama 3.3 70B Instruct vs Z.ai: GLM 5.3 Flash42 combined provider routes
DeepSeek: DeepSeek V3.2 vs Z.ai: GLM 5.241 combined provider routes
DeepSeek: DeepSeek V3.2 vs Z.ai: GLM 5.3 Flash41 combined provider routes
Meta: Llama 3.3 70B Instruct vs MoonshotAI: Kimi K338 combined provider routes
DeepSeek: DeepSeek V3.2 vs MoonshotAI: Kimi K337 combined provider routes

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 3.3 70B Instruct?

Meta: Llama 3.3 70B Instruct has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is DeepSeek: DeepSeek V3.2 or Meta: Llama 3.3 70B Instruct cheaper?

The current cheapest TrustedRouter route is $0.6752/1M for DeepSeek: DeepSeek V3.2 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: DeepSeek V3.2 or Meta: Llama 3.3 70B Instruct faster?

Current measured p50 time to first token is 1793 ms for DeepSeek: DeepSeek V3.2 and 1186 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: DeepSeek V3.2 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-v3.2 and meta-llama/llama-3.3-70b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.