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Jev 1.13 APIActive

jev-1.13.0
Get API key

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By:TypeSafe AIInput Type:Output Type:Publish time:-

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The same model is billed by channel discount. Copy a channel code to set your preference.

ChannelCache Hit RateContext
官方直连
92.0%¥0.3024/ M tokens¥0/ M tokensRead:¥0/ M tokensWrite:¥0/ M tokens64K0.0s

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Jev 1.13 API: price, model ID, and how to call it

Call Jev 1.13 through AI Code With. Use model ID jev-1.13.0 with 64K context. list price about $0.0420 / $0 per 1M tokens before channel discounts. About $0.0042 for 100,000 input / 10,000 output tokens at the cheapest live channel.

Model IDjev-1.13.0
ProtocolsOpenAI Chat Completions
Context64K
Max output65.54K

Next: Get API key · See integration guides · All model prices · All model prices

Cost calculator

Estimate at the cheapest live channel: $0.0420 / $0 per 1M tokens, cache read $0, cache write $0. Billed usage follows your prepaid balance.

Estimated cost$0.0042

cURL example

Set model to jev-1.13.0. The page slug is only the URL, not the API parameter.

curl https://api.aicodewith.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AICODEWITH_API_KEY" \
  -d '{
    "model": "jev-1.13.0",
    "messages": [
      { "role": "user", "content": "What is the meaning of life?" }
    ]
  }'

FAQ

What is the Jev 1.13 model ID?

Send model "jev-1.13.0" in the API request. The page path /jev-1.13.0 is only the URL, not the model parameter.

How do I call the Jev 1.13 API?

Use one AI Code With API key against https://api.aicodewith.ai/v1/chat/completions, and set model to jev-1.13.0. Supported protocols: OpenAI Chat Completions. See See integration guides.

How is Jev 1.13 priced?

Jev 1.13 is list price about $0.0420 / $0 per 1M tokens before channel discounts. The public page shows available channel discounts; billed usage follows your prepaid balance and the live channel. About $0.0042 for 100,000 input / 10,000 output tokens at the cheapest live channel.

How long is the Jev 1.13 context window?

Jev 1.13 has about 64K input context and up to 65.54K output tokens. Treat that as capacity, not a reason to fill every request.