OpenAI compatible API · Attested · Public status

Meta: Llama 3.1 70B Instruct vs Xiaomi: MiMo-V2.5-Pro

Compare Meta: Llama 3.1 70B Instruct and Xiaomi: MiMo-V2.5-Pro by providers, context, price, and TrustedRouter route support.

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

Meta: Llama 3.1 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. Xiaomi: MiMo-V2.5-Pro has more provider fallback routes, while Xiaomi: MiMo-V2.5-Pro has the larger context window. Current TrustedRouter probes show Xiaomi: MiMo-V2.5-Pro with the lower p50 TTFT.

$0.84/1MMeta: Llama 3.1 70B Instruct cheapest route

$1.37025/1MXiaomi: MiMo-V2.5-Pro cheapest route

3008 msMeta: Llama 3.1 70B Instruct measured p50 TTFT

2802 msXiaomi: MiMo-V2.5-Pro measured p50 TTFT

Meta: Llama 3.1 70B InstructXiaomi: MiMo-V2.5-Pro

Model idmeta-llama/llama-3.1-70b-instructxiaomi/mimo-v2.5-pro

PublisherCerebrasXiaomi MiMo

AI IQ — IQ 116#27

Context131,072 tokens1,050,000 tokens

Provider routes45

Cheapest route$0.84/1M$1.37025/1M

Privacy postureprovider posture variesprovider posture varies

Modes chat chat

Meta: Llama 3.1 70B Instruct routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Xiaomi: MiMo-V2.5-Pro routes

Overview5 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
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="meta-llama/llama-3.1-70b-instruct",
    messages=messages,
)