Free to start

MiniMax: MiniMax M2.5 vs Tencent: Hy4 preview

Try both on us. Starter credit covers your first requests, then one key routes MiniMax M2.5 and Hy4 preview. 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 M2.5 has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Tencent: Hy4 preview has the larger context window.

$1.577225/1MMiniMax: MiniMax M2.5 cheapest route

$3.518425/1MTencent: Hy4 preview cheapest route

1052 msMiniMax: MiniMax M2.5 fastest measured p50 TTFT via amazon-bedrock

1891 msTencent: Hy4 preview fastest measured p50 TTFT via tencent

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 M2.5Tencent: Hy4 preview

Model idminimax/minimax-m2.5tencent/hy4-preview

Publisher MiniMax Tencent Cloud TokenHub

AI IQ IQ 103#111 IQ 112#70

Context196,608 tokens1,000,000 tokens

Credits provider routes64

Cheapest route$1.577225/1M$3.518425/1M

Cached input$0.03165/1M to $0.186735/1M$0.04431/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1052 ms via amazon-bedrock1891 ms via tencent

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

MiniMax: MiniMax M2.5 routes

Overview6 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Tencent: Hy4 preview routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

MiniMax: MiniMax M2.5 vs Z.ai: GLM 5.339 combined provider routes
MiniMax: MiniMax M2.5 vs Z.ai: GLM 5.238 combined provider routes
MiniMax: MiniMax M2.5 vs Z.ai: GLM 5.3 Flash38 combined provider routes
Tencent: Hy4 preview vs Z.ai: GLM 5.337 combined provider routes
Tencent: Hy4 preview vs Z.ai: GLM 5.236 combined provider routes
Tencent: Hy4 preview vs Z.ai: GLM 5.3 Flash36 combined provider routes
MiniMax: MiniMax M2.5 vs MoonshotAI: Kimi K334 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs MiniMax: MiniMax M2.532 combined provider routes

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-m2.5",
    messages=messages,
)

Questions

Which should I use, MiniMax: MiniMax M2.5 or Tencent: Hy4 preview?

MiniMax: MiniMax M2.5 has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Tencent: Hy4 preview has the larger context window.

Is MiniMax: MiniMax M2.5 or Tencent: Hy4 preview cheaper?

The current cheapest TrustedRouter route is $1.577225/1M for MiniMax: MiniMax M2.5 and $3.518425/1M for Tencent: Hy4 preview. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax: MiniMax M2.5 or Tencent: Hy4 preview faster?

Current measured p50 time to first token is 1052 ms for MiniMax: MiniMax M2.5 and 1891 ms for Tencent: Hy4 preview. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MiniMax: MiniMax M2.5 and Tencent: Hy4 preview 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-m2.5 and tencent/hy4-preview. This makes side-by-side evals possible without maintaining two provider integrations.