Free to start

MiniMax: MiniMax M2.7 vs Qwen: Qwen3.6 35B A3B

Try both on us. Starter credit covers your first requests, then one key routes MiniMax M2.7 and Qwen3.6 35B A3B. 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

Qwen: Qwen3.6 35B A3B 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.

$1.48755/1MMiniMax: MiniMax M2.7 cheapest route

$0.363975/1MQwen: Qwen3.6 35B A3B cheapest route

not enough dataMiniMax: MiniMax M2.7 fastest measured p50 TTFT

not enough dataQwen: Qwen3.6 35B A3B 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 M2.7Qwen: Qwen3.6 35B A3B

Model idminimax/minimax-m2.7qwen/qwen3.6-35b-a3b

Publisher MiniMax Alibaba Cloud Model Studio

AI IQ IQ 105#95 IQ 104#105

Context196,608 tokens262,144 tokens

Credits provider routes414

Cheapest route$1.48755/1M$0.363975/1M

Cached input$0.03165/1M to $0.0633/1M$0.015825/1M to $0.19623/1M

Privacy posturehas ZDR routehas 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

MiniMax: MiniMax M2.7 routes

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

Qwen: Qwen3.6 35B A3B routes

Overview14 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

Qwen: Qwen3.6 35B A3B vs Z.ai: GLM 5.347 combined provider routes
Qwen: Qwen3.6 35B A3B vs Z.ai: GLM 5.246 combined provider routes
Qwen: Qwen3.6 35B A3B vs Z.ai: GLM 5.3 Flash46 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3.6 35B A3B42 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Qwen: Qwen3.6 35B A3B40 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs Qwen: Qwen3.6 35B A3B38 combined provider routes
MiniMax: MiniMax M2.7 vs Z.ai: GLM 5.337 combined provider routes
OpenAI: gpt-oss-120b vs Qwen: Qwen3.6 35B A3B37 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="minimax/minimax-m2.7",
    messages=messages,
)

Questions

Which should I use, MiniMax: MiniMax M2.7 or Qwen: Qwen3.6 35B A3B?

Qwen: Qwen3.6 35B A3B 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 MiniMax: MiniMax M2.7 or Qwen: Qwen3.6 35B A3B cheaper?

The current cheapest TrustedRouter route is $1.48755/1M for MiniMax: MiniMax M2.7 and $0.363975/1M for Qwen: Qwen3.6 35B A3B. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax: MiniMax M2.7 or Qwen: Qwen3.6 35B A3B faster?

Current measured p50 time to first token is not enough data for MiniMax: MiniMax M2.7 and not enough data for Qwen: Qwen3.6 35B A3B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MiniMax: MiniMax M2.7 and Qwen: Qwen3.6 35B A3B 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-m2.7 and qwen/qwen3.6-35b-a3b. This makes side-by-side evals possible without maintaining two provider integrations.