OpenAI compatible API · Attested · Public status

DeepSeek V3.1 vs Qwen3.8 Max

DeepSeek V3.1 vs Qwen3.8 Max: 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 V3.1 has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek V3.1 has more provider fallback routes, while Qwen3.8 Max has the larger context window. Current TrustedRouter probes show Qwen3.8 Max with the lower p50 TTFT.

$1.266/1MDeepSeek V3.1 cheapest route

$6.964055/1MQwen3.8 Max cheapest route

1797 msDeepSeek V3.1 fastest measured p50 TTFT via atlas-cloud

1710 msQwen3.8 Max fastest measured p50 TTFT via fireworks

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 V3.1Qwen3.8 Max

Model iddeepseek/deepseek-v3.1qwen/qwen3.8-max

Publisher DeepSeek Novita AI

AI IQ IQ 95#105 IQ 122#25

Context131,072 tokens1,000,000 tokens

Credits provider routes54

Cheapest route$1.266/1M$6.964055/1M

Cached input$0.13715/1M to $0.142425/1M$0.21733/1M to $0.26375/1M

Privacy postureprovider posture variesprovider posture varies

Fastest measured p50 TTFT1797 ms via atlas-cloud1710 ms via fireworks

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

DeepSeek V3.1 routes

Overview5 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen3.8 Max routes

Overview4 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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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-v3.1",
    messages=messages,
)

Questions

Which should I use, DeepSeek V3.1 or Qwen3.8 Max?

Is DeepSeek V3.1 or Qwen3.8 Max cheaper?

The current cheapest TrustedRouter route is $1.266/1M for DeepSeek V3.1 and $6.964055/1M for Qwen3.8 Max. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek V3.1 or Qwen3.8 Max faster?

Current measured p50 time to first token is 1797 ms for DeepSeek V3.1 and 1710 ms for Qwen3.8 Max. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek V3.1 and Qwen3.8 Max 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 qwen/qwen3.8-max. This makes side-by-side evals possible without maintaining two provider integrations.