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inclusionAI: Ling 3.0 Flash vs MiniMax: MiniMax M3

Try both on us. Starter credit covers your first requests, then one key routes Ling 3.0 Flash and MiniMax M3. 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

inclusionAI: Ling 3.0 Flash has the lower published input-plus-output rate. MiniMax: MiniMax M3 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.2532/1MinclusionAI: Ling 3.0 Flash cheapest route

$1.25545/1MMiniMax: MiniMax M3 cheapest route

not enough datainclusionAI: Ling 3.0 Flash fastest measured p50 TTFT

1653 msMiniMax: MiniMax M3 fastest measured p50 TTFT via lyceum

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.

inclusionAI: Ling 3.0 FlashMiniMax: MiniMax M3

Model idinclusionai/ling-3.0-flashminimax/minimax-m3

PublisherinclusionAI MiniMax

AI IQ IQ 105#94 IQ 115#55

Context262,144 tokens1,048,576 tokens

Credits provider routes215

Cheapest route$0.2532/1M$1.25545/1M

Cached input$0.01266/1M$0.05275/1M to $0.2532/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data1653 ms via lyceum

Highest measured throughputnot enough data258 tok/s via fireworks

Recent route uptime rangenot enough data100.00%

Modes chat chat

inclusionAI: Ling 3.0 Flash routes

Overview2 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

MiniMax: MiniMax M3 routes

Overview15 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
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="inclusionai/ling-3.0-flash",
    messages=messages,
)

Questions

Which should I use, inclusionAI: Ling 3.0 Flash or MiniMax: MiniMax M3?

Is inclusionAI: Ling 3.0 Flash or MiniMax: MiniMax M3 cheaper?

The current cheapest TrustedRouter route is $0.2532/1M for inclusionAI: Ling 3.0 Flash and $1.25545/1M for MiniMax: MiniMax M3. The comparison uses current catalog prices and updates as provider pricing changes.

Is inclusionAI: Ling 3.0 Flash or MiniMax: MiniMax M3 faster?

Current measured p50 time to first token is not enough data for inclusionAI: Ling 3.0 Flash and 1653 ms for MiniMax: MiniMax M3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test inclusionAI: Ling 3.0 Flash and MiniMax: MiniMax M3 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between inclusionai/ling-3.0-flash and minimax/minimax-m3. This makes side-by-side evals possible without maintaining two provider integrations.