OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Flash 0731 vs Meta: Llama 3.1 70B Instruct

DeepSeek V4 Flash 0731 vs Meta: Llama 3.1 70B Instruct: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
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

Monthly evidence

DeepSeek: DeepSeek V4 Flash 0731 has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V4 Flash 0731 has more provider fallback routes, while DeepSeek: DeepSeek V4 Flash 0731 has the larger context window. Current TrustedRouter probes show DeepSeek: DeepSeek V4 Flash 0731 with the lower p50 TTFT.

$0.142425/1MDeepSeek: DeepSeek V4 Flash 0731 cheapest route
$0.844/1MMeta: Llama 3.1 70B Instruct cheapest route
707 msDeepSeek: DeepSeek V4 Flash 0731 fastest measured p50 TTFT via pearl
776 msMeta: Llama 3.1 70B Instruct fastest measured p50 TTFT via wandb

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 V4 Flash 0731Meta: Llama 3.1 70B Instruct
Model iddeepseek/deepseek-v4-flash-0731meta-llama/llama-3.1-70b-instruct
AI IQ
Context1,048,576 tokens131,072 tokens
Credits provider routes223
Cheapest route$0.142425/1M$0.844/1M
Cached input$0.01/1M to $0.135251/1M$0.633/1M
Privacy posturehas ZDR routeprovider posture varies
Fastest measured p50 TTFT707 ms via pearl776 ms via wandb
Highest measured throughput102 tok/s via pearlnot enough data
Recent route uptime range0.00% to 100.00%100.00%
Modes chat chat

DeepSeek: DeepSeek V4 Flash 0731 routes

Meta: Llama 3.1 70B Instruct routes

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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-0731",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4 Flash 0731 or Meta: Llama 3.1 70B Instruct?

DeepSeek: DeepSeek V4 Flash 0731 has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V4 Flash 0731 has more provider fallback routes, while DeepSeek: DeepSeek V4 Flash 0731 has the larger context window. Current TrustedRouter probes show DeepSeek: DeepSeek V4 Flash 0731 with the lower p50 TTFT.

Is DeepSeek: DeepSeek V4 Flash 0731 or Meta: Llama 3.1 70B Instruct cheaper?

The current cheapest TrustedRouter route is $0.142425/1M for DeepSeek: DeepSeek V4 Flash 0731 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: DeepSeek V4 Flash 0731 or Meta: Llama 3.1 70B Instruct faster?

Current measured p50 time to first token is 707 ms for DeepSeek: DeepSeek V4 Flash 0731 and 776 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: DeepSeek V4 Flash 0731 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-v4-flash-0731 and meta-llama/llama-3.1-70b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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