Free to start

Qwen: Qwen3.8 27B vs 0GM-1.0-35B-A3B

Try both on us. Starter credit covers your first requests, then one key routes Qwen3.8 27B and 0GM-1.0-35B-A3B. 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: Qwen3.8 27B has the lower published input-plus-output rate and more Credits provider routes. 0GM-1.0-35B-A3B has the larger context window. There is not enough recent probe data to compare speed.

$0.385075/1MQwen: Qwen3.8 27B cheapest route

$0.5908/1M0GM-1.0-35B-A3B cheapest route

not enough dataQwen: Qwen3.8 27B fastest measured p50 TTFT

not enough data0GM-1.0-35B-A3B fastest measured p50 TTFT

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.

Qwen: Qwen3.8 27B0GM-1.0-35B-A3B

Model idqwen/qwen3.8-27bzero-g/0gm-1.0-35b-a3b

Publisher Alibaba Cloud Model Studio 0G Private Computer

AI IQ IQ 116#52 —

Context65,536 tokens262,144 tokens

Credits provider routes191

Cheapest route$0.385075/1M$0.5908/1M

Cached input$0.01/1M to $0.19834/1M$0.028134/1M

Privacy posturehas Confidential route (E2EE + ZDR)has provider TEE claim

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat

Qwen: Qwen3.8 27B routes

Overview19 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

0GM-1.0-35B-A3B routes

Overview1 Credits routes

Related comparisons

Browse every comparison

Qwen: Qwen3.8 27B vs Z.ai: GLM 5.352 combined provider routes
Qwen: Qwen3.8 27B vs Z.ai: GLM 5.251 combined provider routes
Qwen: Qwen3.8 27B vs Z.ai: GLM 5.3 Flash51 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 27B43 combined provider routes
OpenAI: gpt-oss-120b vs Qwen: Qwen3.8 27B42 combined provider routes
MoonshotAI: Kimi K2.6 vs Qwen: Qwen3.8 27B36 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3.8 27B or 0GM-1.0-35B-A3B?

Is Qwen: Qwen3.8 27B or 0GM-1.0-35B-A3B cheaper?

The current cheapest TrustedRouter route is $0.385075/1M for Qwen: Qwen3.8 27B and $0.5908/1M for 0GM-1.0-35B-A3B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.8 27B or 0GM-1.0-35B-A3B faster?

Current measured p50 time to first token is not enough data for Qwen: Qwen3.8 27B and not enough data for 0GM-1.0-35B-A3B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3.8 27B and 0GM-1.0-35B-A3B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between qwen/qwen3.8-27b and zero-g/0gm-1.0-35b-a3b. This makes side-by-side evals possible without maintaining two provider integrations.