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MiniMax: MiniMax M3 vs @cf/mistralai/mistral-small-3.1-24b-instruct

Try both on us. Starter credit covers your first requests, then one key routes MiniMax M3 and @cf/mistralai/mistral-small-3.1-24b-instruct. 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 M3 has more Credits provider routes and the larger context window. @cf/mistralai/mistral-small-3.1-24b-instruct has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$1.25545/1MMiniMax: MiniMax M3 cheapest route

$0.95583/1M@cf/mistralai/mistral-small-3.1-24b-instruct cheapest route

1653 msMiniMax: MiniMax M3 fastest measured p50 TTFT via lyceum

not enough data@cf/mistralai/mistral-small-3.1-24b-instruct 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.

MiniMax: MiniMax M3@cf/mistralai/mistral-small-3.1-24b-instruct

Model idminimax/minimax-m3mistralai/mistral-small-3.1-24b-instruct

Publisher MiniMax Mistral

AI IQ IQ 115#55 —

Context1,048,576 tokens128,000 tokens

Credits provider routes151

Cheapest route$1.25545/1M$0.95583/1M

Cached input$0.05275/1M to $0.2532/1MNot published

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1653 ms via lyceumnot enough data

Highest measured throughput258 tok/s via fireworksnot enough data

Recent route uptime range100.00%not enough data

Modes chat chat

MiniMax: MiniMax M3 routes

Overview15 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

@cf/mistralai/mistral-small-3.1-24b-instruct routes

Overview1 Credits routes

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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-m3",
    messages=messages,
)

Questions

Which should I use, MiniMax: MiniMax M3 or @cf/mistralai/mistral-small-3.1-24b-instruct?

Is MiniMax: MiniMax M3 or @cf/mistralai/mistral-small-3.1-24b-instruct cheaper?

The current cheapest TrustedRouter route is $1.25545/1M for MiniMax: MiniMax M3 and $0.95583/1M for @cf/mistralai/mistral-small-3.1-24b-instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax: MiniMax M3 or @cf/mistralai/mistral-small-3.1-24b-instruct faster?

Current measured p50 time to first token is 1653 ms for MiniMax: MiniMax M3 and not enough data for @cf/mistralai/mistral-small-3.1-24b-instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MiniMax: MiniMax M3 and @cf/mistralai/mistral-small-3.1-24b-instruct 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-m3 and mistralai/mistral-small-3.1-24b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.