OpenAI compatible API · Attested · Public status

MiniMax: MiniMax M3 vs OpenAI Text Embedding Ada 002

MiniMax: MiniMax M3 vs OpenAI Text Embedding Ada 002: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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

OpenAI Text Embedding Ada 002 has the lower cheapest prompt+completion route on TrustedRouter. MiniMax: MiniMax M3 has more provider fallback routes, while MiniMax: MiniMax M3 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$1.44535/1MMiniMax: MiniMax M3 cheapest route

$0.1055/1MOpenAI Text Embedding Ada 002 cheapest route

876 msMiniMax: MiniMax M3 fastest measured p50 TTFT via telnyx

not enough dataOpenAI Text Embedding Ada 002 fastest measured p50 TTFT

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 M3OpenAI Text Embedding Ada 002

Model idminimax/minimax-m3openai/text-embedding-ada-002

Publisher DeepInfra OpenAI

AI IQ IQ 114#40 —

Context1,048,576 tokens8,191 tokens

Provider routes192

Cheapest route$1.44535/1M$0.1055/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFT876 ms via telnyxnot enough data

Highest measured throughput137 tok/s via siliconflownot enough data

Recent route uptime range100.00%not enough data

Modes chat embeddings

MiniMax: MiniMax M3 routes

Overview19 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

OpenAI Text Embedding Ada 002 routes

Overview2 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

MiniMax: MiniMax M3 vs Z.ai: GLM 5.271 combined provider routes
MiniMax: MiniMax M3 vs MoonshotAI: Kimi K356 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs MiniMax: MiniMax M352 combined provider routes
MiniMax: MiniMax M3 vs MoonshotAI: Kimi K2.650 combined provider routes
MiniMax: MiniMax M3 vs OpenAI: gpt-oss-120b50 combined provider routes
DeepSeek: DeepSeek V4 Flash 0423 vs MiniMax: MiniMax M348 combined provider routes
DeepSeek: DeepSeek V4 Pro 0423 vs MiniMax: MiniMax M347 combined provider routes
Google: Gemma 4 31B vs MiniMax: MiniMax M346 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-m3",
    messages=messages,
)

Questions

Which should I use, MiniMax: MiniMax M3 or OpenAI Text Embedding Ada 002?

Is MiniMax: MiniMax M3 or OpenAI Text Embedding Ada 002 cheaper?

The current cheapest TrustedRouter route is $1.44535/1M for MiniMax: MiniMax M3 and $0.1055/1M for OpenAI Text Embedding Ada 002. The comparison uses current catalog prices and updates as provider pricing changes.

Is MiniMax: MiniMax M3 or OpenAI Text Embedding Ada 002 faster?

Current measured p50 time to first token is 876 ms for MiniMax: MiniMax M3 and not enough data for OpenAI Text Embedding Ada 002. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MiniMax: MiniMax M3 and OpenAI Text Embedding Ada 002 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-m3 and openai/text-embedding-ada-002. This makes side-by-side evals possible without maintaining two provider integrations.