OpenAI compatible API · Attested · Public status
DeepSeek: DeepSeek V4 Flash vs Meta: Llama 3.3 70B Instruct
Compare DeepSeek: DeepSeek V4 Flash and Meta: Llama 3.3 70B Instruct by providers, context, price, and TrustedRouter route support.
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
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 DeepSeek: DeepSeek V4 Flash with the lower p50 TTFT.
$0.2835/1MDeepSeek: DeepSeek V4 Flash cheapest route
$0.526575/1MMeta: Llama 3.3 70B Instruct cheapest route
1153 msDeepSeek: DeepSeek V4 Flash measured p50 TTFT
2217 msMeta: Llama 3.3 70B Instruct measured p50 TTFT
DeepSeek: DeepSeek V4 FlashMeta: Llama 3.3 70B Instruct
Model id
deepseek/deepseek-v4-flashmeta-llama/llama-3.3-70b-instruct
PublisherDeepSeekCerebras
Context1,048,576 tokens131,072 tokens
Provider routes1914
Cheapest route$0.2835/1M$0.526575/1M
Privacy posturehas ZDR routehas provider E2EE route
Modes
chat
chat
DeepSeek: DeepSeek V4 Flash routes
- Overview19 endpoints
- PricingPrompt and completion rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
Meta: Llama 3.3 70B Instruct routes
- Overview14 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-flash",
messages=messages,
)