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DeepSeek: DeepSeek V3.2 vs OpenAI: GPT-5.6 Luna

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V3.2 and GPT-5.6 Luna. 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 and more Credits provider routes. GPT-5.6 Luna has the larger context window. There is not enough recent probe data to compare speed.

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

$1.477/1MOpenAI: GPT-5.6 Luna cheapest route

3474 msDeepSeek: DeepSeek V3.2 fastest measured p50 TTFT via friendli

not enough dataOpenAI: GPT-5.6 Luna fastest measured p50 TTFT

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 V3.2OpenAI: GPT-5.6 Luna

Model iddeepseek/deepseek-v3.2openai/gpt-5.6-luna

Publisher DeepSeek OpenAI

AI IQ IQ 102#110 IQ 124#29

Context131,072 tokens1,050,000 tokens

Credits provider routes93

Cheapest route$0.6752/1M$1.477/1M

Cached input$0.1055/1M to $0.714109/1M$0.0211/1M

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

Fastest measured p50 TTFT3474 ms via friendlinot enough data

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

OpenAI: GPT-5.6 Luna 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 OpenAI: GPT-5.6 Luna?

DeepSeek V3.2 has the lower published input-plus-output rate and more Credits provider routes. GPT-5.6 Luna has the larger context window. There is not enough recent probe data to compare speed.

Is DeepSeek: DeepSeek V3.2 or OpenAI: GPT-5.6 Luna cheaper?

The current cheapest TrustedRouter route is $0.6752/1M for DeepSeek: DeepSeek V3.2 and $1.477/1M for OpenAI: GPT-5.6 Luna. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V3.2 or OpenAI: GPT-5.6 Luna faster?

Current measured p50 time to first token is 3474 ms for DeepSeek: DeepSeek V3.2 and not enough data for OpenAI: GPT-5.6 Luna. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V3.2 and OpenAI: GPT-5.6 Luna 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 openai/gpt-5.6-luna. This makes side-by-side evals possible without maintaining two provider integrations.