OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Flash 0731 vs mistralai/Mistral-Small-3.2-24B-Instruct-2506

DeepSeek V4 Flash 0731 vs mistralai/Mistral-Small-3.2-24B-Instruct-2506: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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 Flash 0731 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.142425/1MDeepSeek: DeepSeek V4 Flash 0731 cheapest route

$0.290125/1Mmistralai/Mistral-Small-3.2-24B-Instruct-2506 cheapest route

1525 msDeepSeek: DeepSeek V4 Flash 0731 fastest measured p50 TTFT via atlas-cloud

not enough datamistralai/Mistral-Small-3.2-24B-Instruct-2506 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.

DeepSeek: DeepSeek V4 Flash 0731mistralai/Mistral-Small-3.2-24B-Instruct-2506

Model iddeepseek/deepseek-v4-flash-0731mistralai/mistral-small-3.2-24b-instruct-2506

Publisher DeepSeek Mistral

AI IQ — —

Context1,048,576 tokens128,000 tokens

Credits provider routes242

Cheapest route$0.142425/1M$0.290125/1M

Cached input$0.01/1M to $0.101559/1MNot published

Privacy posturehas confidential-compute routeprovider posture varies

Fastest measured p50 TTFT1525 ms via atlas-cloudnot enough data

Highest measured throughput205 tok/s via fireworksnot enough data

Recent route uptime range50.00% to 100.00%100.00%

Modes chat chat

DeepSeek: DeepSeek V4 Flash 0731 routes

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

mistralai/Mistral-Small-3.2-24B-Instruct-2506 routes

Overview2 Credits routes
PricingInput, cached input, and output rates
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="deepseek/deepseek-v4-flash-0731",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V4 Flash 0731 or mistralai/Mistral-Small-3.2-24B-Instruct-2506?

DeepSeek V4 Flash 0731 has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is DeepSeek: DeepSeek V4 Flash 0731 or mistralai/Mistral-Small-3.2-24B-Instruct-2506 cheaper?

The current cheapest TrustedRouter route is $0.142425/1M for DeepSeek: DeepSeek V4 Flash 0731 and $0.290125/1M for mistralai/Mistral-Small-3.2-24B-Instruct-2506. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4 Flash 0731 or mistralai/Mistral-Small-3.2-24B-Instruct-2506 faster?

Current measured p50 time to first token is 1525 ms for DeepSeek: DeepSeek V4 Flash 0731 and not enough data for mistralai/Mistral-Small-3.2-24B-Instruct-2506. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4 Flash 0731 and mistralai/Mistral-Small-3.2-24B-Instruct-2506 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-flash-0731 and mistralai/mistral-small-3.2-24b-instruct-2506. This makes side-by-side evals possible without maintaining two provider integrations.