OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Flash 0423 vs Meta: Llama 3.1 8B Instruct

DeepSeek V4 Flash 0423 vs Meta: Llama 3.1 8B 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

Meta: Llama 3.1 8B Instruct has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V4 Flash 0423 has more provider fallback routes, while DeepSeek: DeepSeek V4 Flash 0423 has the larger context window. Current TrustedRouter probes show DeepSeek: DeepSeek V4 Flash 0423 with the lower p50 TTFT.

$0.2478/1MDeepSeek: DeepSeek V4 Flash 0423 cheapest route
$0.0735/1MMeta: Llama 3.1 8B Instruct cheapest route
374 msDeepSeek: DeepSeek V4 Flash 0423 fastest measured p50 TTFT via pearl
1450 msMeta: Llama 3.1 8B Instruct fastest measured p50 TTFT via telnyx
DeepSeek: DeepSeek V4 Flash 0423Meta: Llama 3.1 8B Instruct
Model iddeepseek/deepseek-v4-flashmeta-llama/llama-3.1-8b-instruct
AI IQ IQ 113#35
Context1,048,576 tokens131,072 tokens
Provider routes295
Cheapest route$0.2478/1M$0.0735/1M
Privacy posturehas provider E2EE routeprovider posture varies
Fastest measured p50 TTFT374 ms via pearl1450 ms via telnyx
Highest measured throughput113 tok/s via makoranot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

DeepSeek: DeepSeek V4 Flash 0423 routes

Meta: Llama 3.1 8B Instruct routes

Related comparisons

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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",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4 Flash 0423 or Meta: Llama 3.1 8B Instruct?

Meta: Llama 3.1 8B Instruct has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V4 Flash 0423 has more provider fallback routes, while DeepSeek: DeepSeek V4 Flash 0423 has the larger context window. Current TrustedRouter probes show DeepSeek: DeepSeek V4 Flash 0423 with the lower p50 TTFT.

Is DeepSeek: DeepSeek V4 Flash 0423 or Meta: Llama 3.1 8B Instruct cheaper?

The current cheapest TrustedRouter route is $0.2478/1M for DeepSeek: DeepSeek V4 Flash 0423 and $0.0735/1M for Meta: Llama 3.1 8B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Flash 0423 or Meta: Llama 3.1 8B Instruct faster?

Current measured p50 time to first token is 374 ms for DeepSeek: DeepSeek V4 Flash 0423 and 1450 ms for Meta: Llama 3.1 8B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Flash 0423 and Meta: Llama 3.1 8B 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 and meta-llama/llama-3.1-8b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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