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ByteDance: UI-TARS 7B vs DeepSeek: DeepSeek V4 Pro 0423

Try both on us. Starter credit covers your first requests, then one key routes UI-TARS 7B and DeepSeek V4 Pro 0423. 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

ByteDance: UI-TARS 7B has the lower published input-plus-output rate. DeepSeek V4 Pro 0423 has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.3165/1MByteDance: UI-TARS 7B cheapest route

$0.79125/1MDeepSeek: DeepSeek V4 Pro 0423 cheapest route

not enough dataByteDance: UI-TARS 7B fastest measured p50 TTFT

588 msDeepSeek: DeepSeek V4 Pro 0423 fastest measured p50 TTFT via wafer

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.

ByteDance: UI-TARS 7B DeepSeek: DeepSeek V4 Pro 0423

Model idbytedance/ui-tars-1.5-7bdeepseek/deepseek-v4-pro

Publisher BytePlus ModelArk DeepSeek

AI IQ — IQ 123#31

Context128,000 tokens1,048,576 tokens

Credits provider routes115

Cheapest route$0.3165/1M$0.79125/1M

Cached input$0.1055/1M$0.01/1M to $0.739555/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFTnot enough data588 ms via wafer

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough data66.67% to 100.00%

Modes chat chat

ByteDance: UI-TARS 7B routes

Overview1 Credits routes

DeepSeek: DeepSeek V4 Pro 0423 routes

Overview15 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
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="bytedance/ui-tars-1.5-7b",
    messages=messages,
)

Questions

Which should I use, ByteDance: UI-TARS 7B or DeepSeek: DeepSeek V4 Pro 0423?

Is ByteDance: UI-TARS 7B or DeepSeek: DeepSeek V4 Pro 0423 cheaper?

The current cheapest TrustedRouter route is $0.3165/1M for ByteDance: UI-TARS 7B and $0.79125/1M for DeepSeek: DeepSeek V4 Pro 0423. The comparison uses current catalog prices and updates as provider pricing changes.

Is ByteDance: UI-TARS 7B or DeepSeek: DeepSeek V4 Pro 0423 faster?

Current measured p50 time to first token is not enough data for ByteDance: UI-TARS 7B and 588 ms for DeepSeek: DeepSeek V4 Pro 0423. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test ByteDance: UI-TARS 7B and DeepSeek: DeepSeek V4 Pro 0423 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between bytedance/ui-tars-1.5-7b and deepseek/deepseek-v4-pro. This makes side-by-side evals possible without maintaining two provider integrations.