DeepSeek V3.1 vs Meta: Llama 3.1 70B Instruct
DeepSeek V3.1 vs Meta: Llama 3.1 70B Instruct: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.
Practical read
Monthly evidenceMeta: Llama 3.1 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek V3.1 has more provider fallback routes, while DeepSeek V3.1 has the larger context window. Current TrustedRouter probes show DeepSeek V3.1 with the lower p50 TTFT.
Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.
deepseek/deepseek-v3.1meta-llama/llama-3.1-70b-instruct
DeepSeek V3.1 routes
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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.
client = OpenAI(
base_url="https://api.trustedrouter.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="deepseek/deepseek-v3.1",
messages=messages,
)
Questions
Which should I use, DeepSeek V3.1 or Meta: Llama 3.1 70B Instruct?
Meta: Llama 3.1 70B Instruct has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek V3.1 has more provider fallback routes, while DeepSeek V3.1 has the larger context window. Current TrustedRouter probes show DeepSeek V3.1 with the lower p50 TTFT.
Is DeepSeek V3.1 or Meta: Llama 3.1 70B Instruct cheaper?
The current cheapest TrustedRouter route is $1.266/1M for DeepSeek V3.1 and $0.844/1M for Meta: Llama 3.1 70B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.
Is DeepSeek V3.1 or Meta: Llama 3.1 70B Instruct faster?
Current measured p50 time to first token is 1797 ms for DeepSeek V3.1 and 1804 ms for Meta: Llama 3.1 70B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.
Can I test DeepSeek V3.1 and Meta: Llama 3.1 70B Instruct with the same API?
Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between deepseek/deepseek-v3.1 and meta-llama/llama-3.1-70b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.