DeepSeek V3.1 vs Llama 4 Maverick Instruct
DeepSeek V3.1 vs Llama 4 Maverick Instruct: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.
Practical read
Monthly evidenceDeepSeek V3.1 has more Credits provider routes. Llama 4 Maverick Instruct has the lower published input-plus-output rate and the larger context window. There is not enough recent probe data to compare speed.
The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. 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-4-maverick-17b-128e-instruct-fp8
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 Llama 4 Maverick Instruct?
DeepSeek V3.1 has more Credits provider routes. Llama 4 Maverick Instruct has the lower published input-plus-output rate and the larger context window. There is not enough recent probe data to compare speed.
Is DeepSeek V3.1 or Llama 4 Maverick Instruct cheaper?
The current cheapest TrustedRouter route is $1.266/1M for DeepSeek V3.1 and $1.055/1M for Llama 4 Maverick Instruct. The comparison uses current catalog prices and updates as provider pricing changes.
Is DeepSeek V3.1 or Llama 4 Maverick Instruct faster?
Current measured p50 time to first token is 2515 ms for DeepSeek V3.1 and not enough data for Llama 4 Maverick Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.
Can I test DeepSeek V3.1 and Llama 4 Maverick 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-4-maverick-17b-128e-instruct-fp8. This makes side-by-side evals possible without maintaining two provider integrations.