Free to start

DeepSeek: DeepSeek V3.2 vs Qwen: Qwen3 14B

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V3.2 and Qwen3 14B. 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

DeepSeek V3.2 has more Credits provider routes and the larger context window. Qwen: Qwen3 14B has the lower published input-plus-output rate and the lower measured p50 time to first token.

$0.6752/1MDeepSeek: DeepSeek V3.2 cheapest route

$0.28485/1MQwen: Qwen3 14B cheapest route

3474 msDeepSeek: DeepSeek V3.2 fastest measured p50 TTFT via friendli

1329 msQwen: Qwen3 14B fastest measured p50 TTFT via greenference

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 V3.2Qwen: Qwen3 14B

Model iddeepseek/deepseek-v3.2qwen/qwen3-14b

Publisher DeepSeek Alibaba Cloud Model Studio

AI IQ IQ 102#110 —

Context131,072 tokens40,960 tokens

Credits provider routes95

Cheapest route$0.6752/1M$0.28485/1M

Cached input$0.1055/1M to $0.714109/1M$0.04009/1M

Privacy posturehas Confidential route (E2EE + ZDR)has ZDR route

Fastest measured p50 TTFT3474 ms via friendli1329 ms via greenference

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

DeepSeek: DeepSeek V3.2 routes

Overview9 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen: Qwen3 14B routes

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

Related comparisons

Browse every comparison

DeepSeek: DeepSeek V3.2 vs Z.ai: GLM 5.342 combined provider routes
DeepSeek: DeepSeek V3.2 vs Z.ai: GLM 5.241 combined provider routes
DeepSeek: DeepSeek V3.2 vs Z.ai: GLM 5.3 Flash41 combined provider routes
Qwen: Qwen3 14B vs Z.ai: GLM 5.338 combined provider routes
DeepSeek: DeepSeek V3.2 vs MoonshotAI: Kimi K337 combined provider routes
Qwen: Qwen3 14B vs Z.ai: GLM 5.237 combined provider routes
Qwen: Qwen3 14B vs Z.ai: GLM 5.3 Flash37 combined provider routes
DeepSeek: DeepSeek V3.2 vs DeepSeek: DeepSeek V4 Flash 073135 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-v3.2",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V3.2 or Qwen: Qwen3 14B?

DeepSeek V3.2 has more Credits provider routes and the larger context window. Qwen: Qwen3 14B has the lower published input-plus-output rate and the lower measured p50 time to first token.

Is DeepSeek: DeepSeek V3.2 or Qwen: Qwen3 14B cheaper?

The current cheapest TrustedRouter route is $0.6752/1M for DeepSeek: DeepSeek V3.2 and $0.28485/1M for Qwen: Qwen3 14B. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V3.2 or Qwen: Qwen3 14B faster?

Current measured p50 time to first token is 3474 ms for DeepSeek: DeepSeek V3.2 and 1329 ms for Qwen: Qwen3 14B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V3.2 and Qwen: Qwen3 14B 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-v3.2 and qwen/qwen3-14b. This makes side-by-side evals possible without maintaining two provider integrations.