@cf/deepseek-ai/deepseek-r1-distill-qwen-32b vs Qwen: Qwen3.8 27B
@cf/deepseek-ai/deepseek-r1-distill-qwen-32b has the larger context window. Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Compare price, speed, context, and privacy.
Practical read
Monthly evidence@cf/deepseek-ai/deepseek-r1-distill-qwen-32b has the larger context window. Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.
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-r1-distill-qwen-32bqwen/qwen3.8-27b
@cf/deepseek-ai/deepseek-r1-distill-qwen-32b routes
- Overview1 Credits routes
Related comparisons
Browse every comparison- Qwen: Qwen3.8 27B vs Z.ai: GLM 5.3 Flash52 combined provider routes
- Qwen: Qwen3.8 27B vs Z.ai: GLM 5.351 combined provider routes
- Qwen: Qwen3.8 27B vs Z.ai: GLM 5.250 combined provider routes
- MoonshotAI: Kimi K3 vs Qwen: Qwen3.8 27B47 combined provider routes
- DeepSeek: DeepSeek V4 Flash 0731 vs Qwen: Qwen3.8 27B45 combined provider routes
- DeepSeek: DeepSeek V4.1 Flash vs Qwen: Qwen3.8 27B42 combined provider routes
- OpenAI: gpt-oss-120b vs Qwen: Qwen3.8 27B41 combined provider routes
- Google: Gemma 4 31B vs Qwen: Qwen3.8 27B35 combined provider routes
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-r1-distill-qwen-32b",
messages=messages,
)
Questions
Which should I use, @cf/deepseek-ai/deepseek-r1-distill-qwen-32b or Qwen: Qwen3.8 27B?
@cf/deepseek-ai/deepseek-r1-distill-qwen-32b has the larger context window. Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.
Is @cf/deepseek-ai/deepseek-r1-distill-qwen-32b or Qwen: Qwen3.8 27B cheaper?
The current cheapest TrustedRouter route is $5.67379/1M for @cf/deepseek-ai/deepseek-r1-distill-qwen-32b and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.
Is @cf/deepseek-ai/deepseek-r1-distill-qwen-32b or Qwen: Qwen3.8 27B faster?
Current measured p50 time to first token is 2690 ms for @cf/deepseek-ai/deepseek-r1-distill-qwen-32b and 852 ms for Qwen: Qwen3.8 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.
Can I test @cf/deepseek-ai/deepseek-r1-distill-qwen-32b and Qwen: Qwen3.8 27B 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-distill-qwen-32b and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.