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DeepSeek: R1 0528 vs Qwen: Qwen3 Next 80B A3B Instruct

Try both on us. Starter credit covers your first requests, then one key routes R1 0528 and Qwen3 Next 80B A3B Instruct. Switch by changing the model name.

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

Qwen: Qwen3 Next 80B A3B Instruct has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$2.79575/1MDeepSeek: R1 0528 cheapest route

$1.25545/1MQwen: Qwen3 Next 80B A3B Instruct cheapest route

not enough dataDeepSeek: R1 0528 fastest measured p50 TTFT

1276 msQwen: Qwen3 Next 80B A3B Instruct fastest measured p50 TTFT via databricks

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: R1 0528Qwen: Qwen3 Next 80B A3B Instruct

Model iddeepseek/deepseek-r1-0528qwen/qwen3-next-80b-a3b-instruct

Publisher DeepSeek Alibaba Cloud Model Studio

AI IQ — —

Context163,840 tokens262,144 tokens

Credits provider routes35

Cheapest route$2.79575/1M$1.25545/1M

Cached input$0.276235/1M to $0.36925/1M$0.062641/1M to $0.07385/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough data1276 ms via databricks

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

DeepSeek: R1 0528 routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Qwen: Qwen3 Next 80B A3B Instruct routes

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

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Qwen: Qwen3 Next 80B A3B Instruct vs Z.ai: GLM 5.237 combined provider routes
Qwen: Qwen3 Next 80B A3B Instruct vs Z.ai: GLM 5.3 Flash37 combined provider routes
DeepSeek: R1 0528 vs Z.ai: GLM 5.336 combined provider routes
DeepSeek: R1 0528 vs Z.ai: GLM 5.235 combined provider routes
DeepSeek: R1 0528 vs Z.ai: GLM 5.3 Flash35 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3 Next 80B A3B Instruct33 combined provider routes
DeepSeek: R1 0528 vs MoonshotAI: Kimi K331 combined provider routes

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-r1-0528",
    messages=messages,
)

Questions

Which should I use, DeepSeek: R1 0528 or Qwen: Qwen3 Next 80B A3B Instruct?

Qwen: Qwen3 Next 80B A3B Instruct has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is DeepSeek: R1 0528 or Qwen: Qwen3 Next 80B A3B Instruct cheaper?

The current cheapest TrustedRouter route is $2.79575/1M for DeepSeek: R1 0528 and $1.25545/1M for Qwen: Qwen3 Next 80B A3B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: R1 0528 or Qwen: Qwen3 Next 80B A3B Instruct faster?

Current measured p50 time to first token is not enough data for DeepSeek: R1 0528 and 1276 ms for Qwen: Qwen3 Next 80B A3B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: R1 0528 and Qwen: Qwen3 Next 80B A3B 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-r1-0528 and qwen/qwen3-next-80b-a3b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.