OpenAI compatible API · Attested · Public status

MiniMax: MiniMax M3 vs Qwen: Qwen3 235B A22B Instruct 2507

Compare MiniMax: MiniMax M3 and Qwen: Qwen3 235B A22B Instruct 2507 by providers, context, price, and TrustedRouter route support.

Verify gateway

Onebase URL to migrate

100sof models and routes

Noneprompt logs by default

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

Qwen: Qwen3 235B A22B Instruct 2507 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. Current TrustedRouter probes show Qwen: Qwen3 235B A22B Instruct 2507 with the lower p50 TTFT.

$1.575/1MMiniMax: MiniMax M3 cheapest route

$0.987/1MQwen: Qwen3 235B A22B Instruct 2507 cheapest route

2571 msMiniMax: MiniMax M3 measured p50 TTFT

1550 msQwen: Qwen3 235B A22B Instruct 2507 measured p50 TTFT

MiniMax: MiniMax M3Qwen: Qwen3 235B A22B Instruct 2507

Model idminimax/minimax-m3qwen/qwen3-235b-a22b-2507

PublisherDeepInfraFriendliAI

AI IQ IQ 112#37 —

Context1,048,576 tokens262,144 tokens

Provider routes176

Cheapest route$1.575/1M$0.987/1M

Privacy posturehas ZDR routehas ZDR route

Modes chat chat

MiniMax: MiniMax M3 routes

Overview17 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen: Qwen3 235B A22B Instruct 2507 routes

Overview6 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

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,
)