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deepseek-ai/DeepSeek-V3.1 vs MiniMax: MiniMax M3

Try both on us. Starter credit covers your first requests, then one key routes deepseek-ai/DeepSeek-V3.1 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

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.

$1.266/1Mdeepseek-ai/DeepSeek-V3.1 cheapest route
$1.25545/1MMiniMax: MiniMax M3 cheapest route
not enough datadeepseek-ai/DeepSeek-V3.1 fastest measured p50 TTFT
not enough dataMiniMax: MiniMax M3 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.

deepseek-ai/DeepSeek-V3.1MiniMax: MiniMax M3
Model iddeepseek/deepseek-v3.1minimax/minimax-m3
Context163,840 tokens1,048,576 tokens
Credits provider routes415
Cheapest route$1.266/1M$1.25545/1M
Cached input$0.13715/1M to $0.241595/1M$0.05275/1M to $0.2532/1M
Privacy postureprovider posture varieshas ZDR route
Fastest measured p50 TTFTnot enough datanot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime rangenot enough datanot enough data
Modes chat chat

deepseek-ai/DeepSeek-V3.1 routes

MiniMax: MiniMax M3 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v3.1",
    messages=messages,
)

Questions

Which should I use, deepseek-ai/DeepSeek-V3.1 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 deepseek-ai/DeepSeek-V3.1 or MiniMax: MiniMax M3 cheaper?

The current cheapest TrustedRouter route is $1.266/1M for deepseek-ai/DeepSeek-V3.1 and $1.25545/1M for MiniMax: MiniMax M3. The comparison uses current catalog prices and updates as provider pricing changes.

Is deepseek-ai/DeepSeek-V3.1 or MiniMax: MiniMax M3 faster?

Current measured p50 time to first token is not enough data for deepseek-ai/DeepSeek-V3.1 and not enough data for MiniMax: MiniMax M3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test deepseek-ai/DeepSeek-V3.1 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 deepseek/deepseek-v3.1 and minimax/minimax-m3. This makes side-by-side evals possible without maintaining two provider integrations.

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