OpenAI compatible API · Attested · Public status

@cf/meta/llama-3.3-70b-instruct-fp8-fast vs MiniMax: MiniMax M3

MiniMax: MiniMax M3 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed. Compare price, speed, context, and privacy.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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 the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$2.68603/1M@cf/meta/llama-3.3-70b-instruct-fp8-fast cheapest route

$1.25545/1MMiniMax: MiniMax M3 cheapest route

not enough data@cf/meta/llama-3.3-70b-instruct-fp8-fast fastest measured p50 TTFT

600 msMiniMax: MiniMax M3 fastest measured p50 TTFT via together

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.

@cf/meta/llama-3.3-70b-instruct-fp8-fastMiniMax: MiniMax M3

Model idmeta-llama/llama-3.3-70b-instruct-fp8-fastminimax/minimax-m3

Publisher Meta MiniMax

AI IQ — IQ 115#54

Context24,000 tokens524,288 tokens

Credits provider routes115

Cheapest route$2.68603/1M$1.25545/1M

Cached inputNot published$0.05275/1M to $0.2532/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data600 ms via together

Highest measured throughputnot enough data333 tok/s via parasail

Recent route uptime range100.00%100.00%

Modes chat chat

@cf/meta/llama-3.3-70b-instruct-fp8-fast routes

Overview1 Credits routes

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="meta-llama/llama-3.3-70b-instruct-fp8-fast",
    messages=messages,
)

Questions

Which should I use, @cf/meta/llama-3.3-70b-instruct-fp8-fast or MiniMax: MiniMax M3?

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

Is @cf/meta/llama-3.3-70b-instruct-fp8-fast or MiniMax: MiniMax M3 cheaper?

The current cheapest TrustedRouter route is $2.68603/1M for @cf/meta/llama-3.3-70b-instruct-fp8-fast and $1.25545/1M for MiniMax: MiniMax M3. The comparison uses current catalog prices and updates as provider pricing changes.

Is @cf/meta/llama-3.3-70b-instruct-fp8-fast or MiniMax: MiniMax M3 faster?

Current measured p50 time to first token is not enough data for @cf/meta/llama-3.3-70b-instruct-fp8-fast and 600 ms for MiniMax: MiniMax M3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test @cf/meta/llama-3.3-70b-instruct-fp8-fast 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 meta-llama/llama-3.3-70b-instruct-fp8-fast and minimax/minimax-m3. This makes side-by-side evals possible without maintaining two provider integrations.