OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V3.2 vs @cf/meta/llama-3.2-1b-instruct

DeepSeek V3.2 vs @cf/meta/llama-3.2-1b-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

@cf/meta/llama-3.2-1b-instruct has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V3.2 has more provider fallback routes, while DeepSeek: DeepSeek V3.2 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

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

$0.24054/1M@cf/meta/llama-3.2-1b-instruct cheapest route

1179 msDeepSeek: DeepSeek V3.2 fastest measured p50 TTFT via friendli

not enough data@cf/meta/llama-3.2-1b-instruct fastest measured p50 TTFT

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 V3.2@cf/meta/llama-3.2-1b-instruct

Model iddeepseek/deepseek-v3.2meta-llama/llama-3.2-1b-instruct

Publisher DeepSeek Cerebras

AI IQ IQ 103#66 —

Context163,840 tokens60,000 tokens

Provider routes191

Cheapest route$0.6752/1M$0.24054/1M

Privacy posturehas provider E2EE routeprovider posture varies

Fastest measured p50 TTFT1179 ms via friendlinot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime range60.00% to 100.00%100.00%

Modes chat chat

DeepSeek: DeepSeek V3.2 routes

Overview19 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

@cf/meta/llama-3.2-1b-instruct routes

Overview1 endpoints

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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 @cf/meta/llama-3.2-1b-instruct?

Is DeepSeek: DeepSeek V3.2 or @cf/meta/llama-3.2-1b-instruct cheaper?

The current cheapest TrustedRouter route is $0.6752/1M for DeepSeek: DeepSeek V3.2 and $0.24054/1M for @cf/meta/llama-3.2-1b-instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V3.2 or @cf/meta/llama-3.2-1b-instruct faster?

Current measured p50 time to first token is 1179 ms for DeepSeek: DeepSeek V3.2 and not enough data for @cf/meta/llama-3.2-1b-instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V3.2 and @cf/meta/llama-3.2-1b-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-3.2-1b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.