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Google: Gemini 2.5 Flash vs OpenAI: GPT-6 Luna

Try both on us. Starter credit covers your first requests, then one key routes Gemini 2.5 Flash and GPT-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

Google: Gemini 2.5 Flash has more Credits provider routes and the lower measured p50 time to first token. GPT-6 Luna has the lower published input-plus-output rate and the larger context window.

$2.954/1MGoogle: Gemini 2.5 Flash cheapest route

$0.633/1MOpenAI: GPT-6 Luna cheapest route

1144 msGoogle: Gemini 2.5 Flash fastest measured p50 TTFT via google-vertex

1393 msOpenAI: GPT-6 Luna fastest measured p50 TTFT via openai

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.

Google: Gemini 2.5 FlashOpenAI: GPT-6 Luna

Model idgoogle/gemini-2.5-flashopenai/gpt-6-luna

Publisher Google AI Studio OpenAI

AI IQ — IQ 125#27

Context1,048,576 tokens1,050,000 tokens

Credits provider routes42

Cheapest route$2.954/1M$0.633/1M

Cached input$0.03165/1M$0.01055/1M to $0.0211/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1144 ms via google-vertex1393 ms via openai

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Google: Gemini 2.5 Flash routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

OpenAI: GPT-6 Luna routes

Overview2 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="google/gemini-2.5-flash",
    messages=messages,
)

Questions

Which should I use, Google: Gemini 2.5 Flash or OpenAI: GPT-6 Luna?

Google: Gemini 2.5 Flash has more Credits provider routes and the lower measured p50 time to first token. GPT-6 Luna has the lower published input-plus-output rate and the larger context window.

Is Google: Gemini 2.5 Flash or OpenAI: GPT-6 Luna cheaper?

The current cheapest TrustedRouter route is $2.954/1M for Google: Gemini 2.5 Flash and $0.633/1M for OpenAI: GPT-6 Luna. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemini 2.5 Flash or OpenAI: GPT-6 Luna faster?

Current measured p50 time to first token is 1144 ms for Google: Gemini 2.5 Flash and 1393 ms for OpenAI: GPT-6 Luna. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemini 2.5 Flash and OpenAI: GPT-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 google/gemini-2.5-flash and openai/gpt-6-luna. This makes side-by-side evals possible without maintaining two provider integrations.