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MiniMax: MiniMax M2.5 vs OpenAI: GPT-5.6 Luna

Try both on us. Starter credit covers your first requests, then one key routes MiniMax M2.5 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

MiniMax: MiniMax M2.5 has more Credits provider routes and the lower measured p50 time to first token. GPT-5.6 Luna has the lower published input-plus-output rate and the larger context window.

$1.577225/1MMiniMax: MiniMax M2.5 cheapest route

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

1052 msMiniMax: MiniMax M2.5 fastest measured p50 TTFT via amazon-bedrock

1774 msOpenAI: GPT-5.6 Luna fastest measured p50 TTFT via boundless

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.

MiniMax: MiniMax M2.5OpenAI: GPT-5.6 Luna

Model idminimax/minimax-m2.5openai/gpt-5.6-luna

Publisher MiniMax OpenAI

AI IQ IQ 103#111 IQ 124#31

Context196,608 tokens1,050,000 tokens

Credits provider routes63

Cheapest route$1.577225/1M$1.477/1M

Cached input$0.03165/1M to $0.186735/1M$0.0211/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1052 ms via amazon-bedrock1774 ms via boundless

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

MiniMax: MiniMax M2.5 routes

Overview6 Credits routes
PricingInput, cached input, and output rates
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="minimax/minimax-m2.5",
    messages=messages,
)

Questions

Which should I use, MiniMax: MiniMax M2.5 or OpenAI: GPT-5.6 Luna?

MiniMax: MiniMax M2.5 has more Credits provider routes and the lower measured p50 time to first token. GPT-5.6 Luna has the lower published input-plus-output rate and the larger context window.

Is MiniMax: MiniMax M2.5 or OpenAI: GPT-5.6 Luna cheaper?

The current cheapest TrustedRouter route is $1.577225/1M for MiniMax: MiniMax M2.5 and $1.477/1M for OpenAI: GPT-5.6 Luna. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax: MiniMax M2.5 or OpenAI: GPT-5.6 Luna faster?

Current measured p50 time to first token is 1052 ms for MiniMax: MiniMax M2.5 and 1774 ms for OpenAI: GPT-5.6 Luna. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MiniMax: MiniMax M2.5 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 minimax/minimax-m2.5 and openai/gpt-5.6-luna. This makes side-by-side evals possible without maintaining two provider integrations.