OpenAI compatible API. Attested gateway. Public status.
Meta: Llama 3.3 70B Instruct vs DeepSeek: DeepSeek V4 Flash
Compare Meta: Llama 3.3 70B Instruct and DeepSeek: DeepSeek V4 Flash by providers, context, price, and TrustedRouter route support.
1 URLbase_url migration
100smodels and routes
0prompt 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
DeepSeek: DeepSeek V4 Flash has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V4 Flash has more provider fallback routes, while DeepSeek: DeepSeek V4 Flash has the larger context window. Current TrustedRouter probes show Meta: Llama 3.3 70B Instruct with the lower p50 TTFT.
$0.5885/1MMeta: Llama 3.3 70B Instruct cheapest route
$0.297/1MDeepSeek: DeepSeek V4 Flash cheapest route
1075 msMeta: Llama 3.3 70B Instruct measured p50 TTFT
3137 msDeepSeek: DeepSeek V4 Flash measured p50 TTFT
Meta: Llama 3.3 70B InstructDeepSeek: DeepSeek V4 Flash
Model id
meta-llama/llama-3.3-70b-instructdeepseek/deepseek-v4-flash
PublisherCerebrasDeepSeek
Context131,072 tokens1,048,576 tokens
Provider routes1318
Cheapest route$0.5885/1M$0.297/1M
Privacy posturehas provider E2EE routehas provider E2EE route
Modes
chat
chat
Meta: Llama 3.3 70B Instruct routes
- Overview13 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
DeepSeek: DeepSeek V4 Flash routes
- Overview18 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-3.3-70b-instruct",
messages=messages,
)