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Meta: Llama 3.3 70B Instruct vs MiniMax: MiniMax M3.1 Flash

Try both on us. Starter credit covers your first requests, then one key routes Llama 3.3 70B Instruct and MiniMax M3.1 Flash. 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

Meta: Llama 3.3 70B Instruct has the lower published input-plus-output rate. MiniMax: MiniMax M3.1 Flash has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route

$0.79125/1MMiniMax: MiniMax M3.1 Flash cheapest route

1433 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via sambanova

1423 msMiniMax: MiniMax M3.1 Flash fastest measured p50 TTFT via minimax

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.

Meta: Llama 3.3 70B InstructMiniMax: MiniMax M3.1 Flash

Model idmeta-llama/llama-3.3-70b-instructminimax/minimax-m3.1-flash

Publisher Meta MiniMax

AI IQ — IQ 120#49

Context131,072 tokens1,048,576 tokens

Credits provider routes1012

Cheapest route$0.564425/1M$0.79125/1M

Cached input$0.1055/1M to $0.633/1M$0.01266/1M to $0.019782/1M

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

Fastest measured p50 TTFT1433 ms via sambanova1423 ms via minimax

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%0.00% to 100.00%

Modes chat decide chat

Meta: Llama 3.3 70B Instruct routes

Overview10 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

MiniMax: MiniMax M3.1 Flash routes

Overview12 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="meta-llama/llama-3.3-70b-instruct",
    messages=messages,
)

Questions

Which should I use, Meta: Llama 3.3 70B Instruct or MiniMax: MiniMax M3.1 Flash?

Is Meta: Llama 3.3 70B Instruct or MiniMax: MiniMax M3.1 Flash cheaper?

The current cheapest TrustedRouter route is $0.564425/1M for Meta: Llama 3.3 70B Instruct and $0.79125/1M for MiniMax: MiniMax M3.1 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is Meta: Llama 3.3 70B Instruct or MiniMax: MiniMax M3.1 Flash faster?

Current measured p50 time to first token is 1433 ms for Meta: Llama 3.3 70B Instruct and 1423 ms for MiniMax: MiniMax M3.1 Flash. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Meta: Llama 3.3 70B Instruct and MiniMax: MiniMax M3.1 Flash 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 and minimax/minimax-m3.1-flash. This makes side-by-side evals possible without maintaining two provider integrations.