OpenAI compatible API. Attested gateway. Public status.
DeepSeek: DeepSeek V4 Pro vs Meta: Llama 3.1 70B Instruct
Compare DeepSeek: DeepSeek V4 Pro and Meta: Llama 3.1 70B Instruct 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
Meta: Llama 3.1 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V4 Pro has more provider fallback routes, while DeepSeek: DeepSeek V4 Pro has the larger context window. Current TrustedRouter probes show DeepSeek: DeepSeek V4 Pro with the lower p50 TTFT.
$1.4355/1MDeepSeek: DeepSeek V4 Pro cheapest route
$0.88/1MMeta: Llama 3.1 70B Instruct cheapest route
2939 msDeepSeek: DeepSeek V4 Pro measured p50 TTFT
4117 msMeta: Llama 3.1 70B Instruct measured p50 TTFT
DeepSeek: DeepSeek V4 ProMeta: Llama 3.1 70B Instruct
Model id
deepseek/deepseek-v4-prometa-llama/llama-3.1-70b-instruct
PublisherDeepSeekCerebras
Context1,048,576 tokens131,072 tokens
Provider routes224
Cheapest route$1.4355/1M$0.88/1M
Privacy posturehas provider E2EE routehas ZDR route
Modes
chat
chat
DeepSeek: DeepSeek V4 Pro routes
- Overview22 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
Meta: Llama 3.1 70B Instruct routes
- Overview4 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="deepseek/deepseek-v4-pro",
messages=messages,
)