Free to start

MiniMax M2.7 vs OpenAI: gpt-oss-120b

Try both on us. Starter credit covers your first requests, then one key routes MiniMax M2.7 and gpt-oss-120b. 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 M2.7 has the larger context window. gpt-oss-120b has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$1.978125/1MMiniMax M2.7 cheapest route

$0.211/1MOpenAI: gpt-oss-120b cheapest route

not enough dataMiniMax M2.7 fastest measured p50 TTFT

693 msOpenAI: gpt-oss-120b fastest measured p50 TTFT via privatemode

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 M2.7OpenAI: gpt-oss-120b

Model idminimax/minimax-m27openai/gpt-oss-120b

Publisher MiniMax OpenAI

AI IQ — IQ 98#132

Context198,000 tokens131,072 tokens

Credits provider routes124

Cheapest route$1.978125/1M$0.211/1M

Cached input$0.072532/1M$0.015825/1M to $0.1055/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data693 ms via privatemode

Highest measured throughputnot enough data284 tok/s via cerebras

Recent route uptime rangenot enough data100.00%

Modes chat chat

MiniMax M2.7 routes

Overview1 Credits routes

OpenAI: gpt-oss-120b routes

Overview24 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

OpenAI: gpt-oss-120b vs Z.ai: GLM 5.357 combined provider routes
OpenAI: gpt-oss-120b vs Z.ai: GLM 5.256 combined provider routes
OpenAI: gpt-oss-120b vs Z.ai: GLM 5.3 Flash56 combined provider routes
MoonshotAI: Kimi K3 vs OpenAI: gpt-oss-120b52 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs OpenAI: gpt-oss-120b50 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs OpenAI: gpt-oss-120b48 combined provider routes
OpenAI: gpt-oss-120b vs Qwen: Qwen3.8 27B44 combined provider routes
MoonshotAI: Kimi K2.6 vs OpenAI: gpt-oss-120b41 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-m27",
    messages=messages,
)

Questions

Which should I use, MiniMax M2.7 or OpenAI: gpt-oss-120b?

MiniMax M2.7 has the larger context window. gpt-oss-120b has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is MiniMax M2.7 or OpenAI: gpt-oss-120b cheaper?

The current cheapest TrustedRouter route is $1.978125/1M for MiniMax M2.7 and $0.211/1M for OpenAI: gpt-oss-120b. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax M2.7 or OpenAI: gpt-oss-120b faster?

Current measured p50 time to first token is not enough data for MiniMax M2.7 and 693 ms for OpenAI: gpt-oss-120b. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MiniMax M2.7 and OpenAI: gpt-oss-120b 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-m27 and openai/gpt-oss-120b. This makes side-by-side evals possible without maintaining two provider integrations.