OpenAI compatible API · Attested · Public status
Meta: Llama 3.3 70B Instruct vs MiniMax: MiniMax M3
Compare Meta: Llama 3.3 70B Instruct and MiniMax: MiniMax M3 by providers, context, price, and TrustedRouter route support.
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 3.3 70B Instruct 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.
$0.56175/1MMeta: Llama 3.3 70B Instruct cheapest route
$1.4385/1MMiniMax: MiniMax M3 cheapest route
not enough dataMeta: Llama 3.3 70B Instruct measured p50 TTFT
not enough dataMiniMax: MiniMax M3 measured p50 TTFT
Meta: Llama 3.3 70B InstructMiniMax: MiniMax M3
Model id
meta-llama/llama-3.3-70b-instructminimax/minimax-m3
PublisherCerebrasDeepInfra
Context131,072 tokens1,048,576 tokens
Provider routes1421
Cheapest route$0.56175/1M$1.4385/1M
Privacy posturehas provider E2EE routehas ZDR route
Modes
chat
chat
Meta: Llama 3.3 70B Instruct routes
- Overview14 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
MiniMax: MiniMax M3 routes
- Overview21 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://gchircrcif.eu-west-3.awsapprunner.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="meta-llama/llama-3.3-70b-instruct",
messages=messages,
)