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DeepSeek: DeepSeek V4.1 Flash vs meta-models/Muse-Spark-Open-816B-A42B-NVFP4

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V4.1 Flash and meta-models/Muse-Spark-Open-816B-A42B-NVFP4. 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 V4.1 Flash has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$0.1266/1MDeepSeek: DeepSeek V4.1 Flash cheapest route

$5.8025/1Mmeta-models/Muse-Spark-Open-816B-A42B-NVFP4 cheapest route

957 msDeepSeek: DeepSeek V4.1 Flash fastest measured p50 TTFT via together

1820 msmeta-models/Muse-Spark-Open-816B-A42B-NVFP4 fastest measured p50 TTFT via makora

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 V4.1 Flashmeta-models/Muse-Spark-Open-816B-A42B-NVFP4

Model iddeepseek/deepseek-v4.1-flashmeta-models/muse-spark-open-816b-a42b-nvfp4

Publisher DeepSeek meta-models

AI IQ IQ 126#22 —

Context1,048,576 tokens1,048,576 tokens

Credits provider routes241

Cheapest route$0.1266/1M$5.8025/1M

Cached input$0.01/1M to $0.1899/1M$0.15825/1M

Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies

Fastest measured p50 TTFT957 ms via together1820 ms via makora

Highest measured throughputnot enough datanot enough data

Recent route uptime range98.56% to 100.00%100.00%

Modes chat decide chat

DeepSeek: DeepSeek V4.1 Flash routes

Overview24 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

meta-models/Muse-Spark-Open-816B-A42B-NVFP4 routes

Overview1 Credits routes

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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="deepseek/deepseek-v4.1-flash",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4.1 Flash or meta-models/Muse-Spark-Open-816B-A42B-NVFP4?

DeepSeek V4.1 Flash has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is DeepSeek: DeepSeek V4.1 Flash or meta-models/Muse-Spark-Open-816B-A42B-NVFP4 cheaper?

The current cheapest TrustedRouter route is $0.1266/1M for DeepSeek: DeepSeek V4.1 Flash and $5.8025/1M for meta-models/Muse-Spark-Open-816B-A42B-NVFP4. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash or meta-models/Muse-Spark-Open-816B-A42B-NVFP4 faster?

Current measured p50 time to first token is 957 ms for DeepSeek: DeepSeek V4.1 Flash and 1820 ms for meta-models/Muse-Spark-Open-816B-A42B-NVFP4. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4.1 Flash and meta-models/Muse-Spark-Open-816B-A42B-NVFP4 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-v4.1-flash and meta-models/muse-spark-open-816b-a42b-nvfp4. This makes side-by-side evals possible without maintaining two provider integrations.