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Ma-model nemitengo

Ma-model nemitengo

PA1M TOKENS

Model id imwe neimwe ye-API, zvainogamuchira uye zvainodhura: Shannon models 10 ne-hosted open-weight models 12, imwe neimwe ichiwanikwa pa-endpoints dzese nhatu. GET /v1/models inodzosa list imwechete se-JSON.

ma-model asina zvirambidzo
22
context window
256K
kubva pa
$0.50 /1M

Hosted open-weight models

262,144-token context pa-id imwe neimwe; input ne-output zvinobhadharwa zvakasiyana; id imwe neimwe inogamuchira zvinogamuchirwa ne-model yainotevedzera

ModelInputStructured outputMukati / yakachenzwa / kunze per 1MZvimwe
DeepSeek-V4-Pro-08133BIT-REAPDeepSeek · 1.6T MoE · 49B activeUncensoredText (in)JSON schema$1.95 / $0.488 / $3.90
GLM-5.23BIT-REAPZ.ai · 744B MoE · 40B activeUncensoredText (in)JSON schema$0.73 / $0.183 / $2.34
Kimi-K33BIT-REAPMoonshot AI · 2.8T MoE · 104B activeUncensoredText + mufananidzo (in)JSON schema$3.83 / $0.958 / $19.12
Nemotron3Ultra3BIT-REAPNVIDIA · 550B hybrid Mamba-Attention MoE · 55B activeUncensoredText (in)JSON schema$0.75 / $0.188 / $3.30
MiniMax-M33BIT-REAPMiniMax · 428B MoE · 23B active · sparse attentionUncensoredText + mufananidzo (in)JSON schema$0.50 / $0.125 / $2.00
DeepSeek-V4-Flash-0731W4A16-AUTOROUND-REAPDeepSeek · 284B MoE · 13B activeUncensoredText (in)JSON schema$0.50 / $0.125 / $2.00
Kimi-K2.6W4A16-AUTOROUND-REAPMoonshot AI · 1T MoE · 32B activeUncensoredText + mufananidzo (in)JSON schema$0.78 / $0.195 / $3.67
Laguna-S-2.1W4A16-AUTOROUND-REAPPoolside · 118B MoE · 8B activeUncensoredText (in)Hapana structured output$0.50 / $0.125 / $2.00
inklingW4A16-AUTOROUND-REAPThinking Machines · 975B MoE · 41B activeUncensoredText + mufananidzo (in)JSON object$1.42 / $0.355 / $6.07
MiMo-V2.5-ProW8A16Xiaomi · 1.02T MoE · 42B active · 8-bitUncensoredText (in)JSON schema$0.50 / $0.125 / $2.00
MiMo-V2.5W8A16Xiaomi · 8-bit multimodal · W8A16UncensoredText + mufananidzo (in)JSON schema$0.50 / $0.125 / $2.00
Hy3W8A16Tencent · 295B MoE · 21B active · 8-bitUncensoredText (in)JSON schema$0.50 / $0.125 / $2.00

Ma-model e-Shannon

mutengo mumwe wakatarwa we-input ne-output

ModelContextInputStructured outputMutengo / 1M tokens
Shannon 1.6 Liteshannon-1.6-liteUncensored192KText + mufananidzo (in)JSON schema$3.90
Shannon 1.6 Proshannon-1.6-proUncensored192KText + mufananidzo (in)JSON schema$7.80
Shannon 2 Liteshannon-2-liteUncensored192KText + mufananidzo (in)JSON schema$3.90
Shannon 2 Proshannon-2-proUncensored192KText + mufananidzo (in)JSON schema$5.85
Shannon 3shannon-3Uncensored192KText + mufananidzo (in)JSON schema$3.35
Shannon 3 Proshannon-3-proUncensored192KText + mufananidzo (in)JSON schema$3.35
Shannon 3.1shannon-3.1Uncensored192KText + mufananidzo (in)JSON schema$3.35
Shannon 3.1 Proshannon-3.1-proUncensored192KText + mufananidzo (in)JSON schema$3.35
Shannon 3.5shannon-3.5Uncensored192KText + mufananidzo (in)JSON schema$3.35
Shannon Coder 1shannon-coder-1Uncensored128KText (in)JSON schema$8.00

Enda kuQuickstart Edza Playground

Kuverenga row

Column Zvainoreva
Model Zita rekuratidza. Mutsara uri pasi pazvo i-id yaunotumira se-model. Mu-hosted table id izita ne-tag iri padivi payo, zvakabatanidzwa ne-hyphen: MiniMax-M3 ne-3BIT-REAP zvinoita MiniMax-M3-3BIT-REAP. Mutsara uri pasi pezita unoratidza akagadzira model nesize yayo.
Context Context window: huwandu hwe-tokens dzehurukuro dzinoverengwa ne-model. K inomirira 1,024 tokens. Nhamba chaiyo ndi-context_window mu-GET /v1/models.
Input Text chete, kana text nemifananidzo. Model inoverenga mifananidzo inoratidza capabilities.vision: true. shannon-2-lite ne-shannon-2-pro dzinoverenga mifananidzo mu-requests dzinotumirawo tools kana response_format.
Structured output Zvinogona kukumbirwa ne-response_format kuna model: mhinduro inotevera JSON schema yako, mhinduro iri JSON object, kana hapana.
Mutengo USD pa-1,000,000 tokens. Shannon model ine mutengo mumwe we-input ne-output. Hosted open-weight model ine matatu: input, cached input ne-output.

Model imwe neimwe inoita streaming uye inogona kudanidzira tools. Dzimwe features dze-API dzakatsanangurwa papeji reCapabilities. Unyanzvi

Context window ne-output limits

  • Context window inofukidza zvese zvinoverengwa ne-model pamhinduro imwe: messages dzako, tool definitions nemifananidzo.
  • Mhuri ye-Shannon 3 inoita kuti hurukuro hurefu hukwane pachayo: inochengeta ma-turn matsva anokwana mu-window ndokupindura.
  • Mu-stream, prompt refu kwazvo inoratidzwa se-error frame ine type invalid_request_error ne-code: "context_length_exceeded".
  • max_tokens inotora values kubva ku-1 kusvika ku-65,536 pa-model imwe neimwe; max_output_tokens mu-GET /v1/models ndiyo nhanho yepamusoro ye-range iyoyo. Default i-4,096.
  • Pa-model imwe neimwe, max_tokens ndihwo huwandu hunochengetwa ne-request kubva mu-balance yako.
  • Selimit yekureba kwemhinduro, max_tokens inoshandiswa ne-hosted open-weight models, shannon-1.6-lite, shannon-1.6-pro ne-shannon-coder-1.
  • Pa-hosted open-weight models inogumira text yemhinduro. Reasoning iri pamberi pemhinduro haiverengwi pairi, uye value iri pazasi pe-256 inoshanda se-256.
  • Stream ye-shannon-1.6-lite, shannon-1.6-pro, shannon-coder-1 kana mhuri ye-Shannon 3 inopera ne-finish_reason: "length" kana mhinduro yadimburwa pa-limit yayo.

Limits ne-balance

Kuti mutengo unogadzirwa sei

  • Mitengo i-USD pa-1,000,000 tokens. Balance yako inoverengwa mu-tokens dzinokosha $5.00 pa1,000,000, saka mutengo we-model unoratidza kuti tokens dzayo dzinotora balance yakawanda sei.
  • Shannon models dzine mutengo mumwe. Call inobhadharwa usage.total_tokens pamutengo iwoyo.
  • Hosted open-weight models dzine mitengo mitatu. Input inoverengwa kubva ku-prompt cache inobhadharwa pa-cached price, iri 25% yemutengo we-input yakakwidziridzwa kusvika ku-$0.001. Zvasara ze-input zvinobhadharwa pa-input price, output pa-output price.
  • Hosted open-weight models dzinoverenga tokens ne-tokenizer ye-model imwe neimwe. GET /v1/models inoratidza izvi se-tokenizer: "original".
  • shannon-coder-1 inoverengwa mu-calls, kwete tokens, pa-/v1/chat/completions ne-/v1/messages. Mutengo wayo wakanyorwa unoshanda pa-/v1/responses.

Zvinochengetwa ne-request, mienzaniso yakaitwa yemutengo ne-Shannon Coder call allowance zviri pa-Limits ne-balance. Limits ne-balance

Model ids

Tumira imwe yema-id aya se-model.

Model ids
shannon-1.6-lite
shannon-1.6-pro
shannon-2-lite
shannon-2-pro
shannon-3
shannon-3-pro
shannon-3.1
shannon-3.1-pro
shannon-3.5
shannon-coder-1
DeepSeek-V4-Pro-0813-3BIT-REAP
GLM-5.2-3BIT-REAP
Kimi-K3-3BIT-REAP
Nemotron3Ultra-3BIT-REAP
MiniMax-M3-3BIT-REAP
DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP
Kimi-K2.6-W4A16-AUTOROUND-REAP
Laguna-S-2.1-W4A16-AUTOROUND-REAP
inkling-W4A16-AUTOROUND-REAP
MiMo-V2.5-Pro-W8A16
MiMo-V2.5-W8A16
Hy3-W8A16
  • Mavara makuru nemadiki haana basa, uye zvikamu zvisina chinhu (spaces) padivi pe-id zvinobviswa: SHANNON-3 ne-shannon-3 i-model imwechete.
  • Mhinduro inogara ichitakura published id mu-model, chero manyorerwo api awakatumira.
  • Display name sa-Shannon 3 haisi id.

Manyorerwo mapfupi mana anogamuchirwawo.

Unotumira Model inopindura
shannon-1.6 shannon-1.6-lite
shannon-3-lite shannon-3
shannon-3.1-lite shannon-3.1
shannon-coder shannon-coder-1

Id isiri published inopindurwa ne-status 400, type invalid_request_error ne-message unknown model: <id> pa-endpoints dzese nhatu. Hapana model imwe inopindura panzvimbo payo.

{
  "error": {
    "type": "invalid_request_error",
    "message": "unknown model: gpt-4o"
  }
}
  • Tumira model nguva dzese. /v1/responses inopindura request isina iyo ne-400. Pa-/v1/chat/completions ne-/v1/messages request yakadaro inopindurwa ne-shannon-1.6-lite.
  • POST /v1/tokenize ne-POST /v1/messages/count_tokens dzinotora hosted open-weight ids.

Rondedzera ma-model

GET /v1/models inodzosa ma-model epeji rino se-JSON, ane context windows, mitengo ne-capabilities zvakafanana. Shandisa kuzadza model picker kana kutarisa mutengo mu-code.

GET https://api.shannon-ai.com/v1/models

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.shannon-ai.com/v1"
)

for model in client.models.list():
    print(model.id)

Mhinduro, yakapfupiswa kuita entry imwe yemhando imwe neimwe:

200 JSON
{
  "object": "list",
  "data": [
    {
      "id": "shannon-3",
      "object": "model",
      "created": 1700000000,
      "owned_by": "shannon-ai",
      "display_name": "Shannon 3",
      "context_window": 196608,
      "max_output_tokens": 65536,
      "pricing": {
        "input_per_million_usd": 3.35,
        "output_per_million_usd": 3.35,
        "currency": "USD"
      },
      "capabilities": {
        "tools": true,
        "vision": true,
        "reasoning": true,
        "reasoning_effort": false,
        "streaming": true,
        "json_schema": true
      },
      "endpoints": [
        "/v1/chat/completions",
        "/v1/messages",
        "/v1/responses"
      ]
    },
    {
      "id": "MiniMax-M3-3BIT-REAP",
      "object": "model",
      "created": 1700000000,
      "owned_by": "shannon-ai",
      "display_name": "MiniMax-M3 · 3BIT-REAP",
      "context_window": 262144,
      "max_output_tokens": 65536,
      "pricing": {
        "input_per_million_usd": 0.5,
        "cached_input_per_million_usd": 0.125,
        "output_per_million_usd": 2,
        "currency": "USD"
      },
      "tokenizer": "original",
      "capabilities": {
        "tools": true,
        "vision": true,
        "reasoning": true,
        "reasoning_effort": true,
        "streaming": true,
        "response_format": true,
        "json_schema": true,
        "prompt_caching": true
      },
      "endpoints": [
        "/v1/chat/completions",
        "/v1/messages",
        "/v1/responses",
        "/v1/messages/count_tokens",
        "/v1/tokenize"
      ]
    }
  ]
}
Field Mhando Tsananguro Iripo pa
object string Inogara iri list.
data array Entry imwe pa-model imwe inogona kudanidzirwa.
data[].id string Id yaunotumira se-model. Model imwe neimwe
data[].object string Inogara iri model. Model imwe neimwe
data[].created integer Nhamba yakatarwa, yakafanana pa-model imwe neimwe: 1700000000. Model imwe neimwe
data[].owned_by string Inogara iri shannon-ai. Model imwe neimwe
data[].display_name string Zita rekuratidza. Hagamuchirwi se-model. Model imwe neimwe
data[].context_window integer Context window mu-tokens. Model imwe neimwe
data[].max_output_tokens integer Output budget huru kupfuura dzese request inogona kukumbira: 65536 pa-model imwe neimwe. Model imwe neimwe
data[].pricing.input_per_million_usd number Mutengo we-1,000,000 input tokens mu-USD. Model imwe neimwe
data[].pricing.cached_input_per_million_usd number Mutengo we-1,000,000 input tokens dzinoverengwa kubva ku-prompt cache. Hosted open-weight models
data[].pricing.output_per_million_usd number Mutengo we-1,000,000 output tokens mu-USD. Pa-Shannon model wakaenzana nemutengo we-input. Model imwe neimwe
data[].pricing.currency string Inogara iri USD. Model imwe neimwe
data[].tokenizer string original: tokens dzinoverengwa ne-tokenizer ye-model pachayo. Hosted open-weight models
data[].capabilities.tools boolean Model inogona kudanidzira tools dzaunoratidza. true pa-model imwe neimwe. Model imwe neimwe
data[].capabilities.vision boolean Model inoverenga mifananidzo. Model imwe neimwe
data[].capabilities.reasoning boolean Model inofunga isati yapindura. Model imwe neimwe
data[].capabilities.reasoning_effort boolean Request field reasoning_effort inoshanda pa-model iyi. Model imwe neimwe
data[].capabilities.streaming boolean true pa-model imwe neimwe. Model imwe neimwe
data[].capabilities.json_schema boolean response_format ye-type json_schema inoshanda. Model imwe neimwe
data[].capabilities.response_format boolean response_format inoshanda zvachose, kunyanya se-JSON object. Hosted open-weight models
data[].capabilities.prompt_caching boolean Prompt prefixes dzinodzokororwa dzinochenzwa uye dzinobhadharwa pa-cached price. Hosted open-weight models
data[].endpoints array Paths dzinotora id iyi. Model imwe neimwe
  • GET /v1/models haidi key. Mhinduro yakafanana kune munhu wese anodanidzira uye haienderani ne-plan yako.
  • List ine ma-id anogona kudanidzirwa. Model isingakwanisi kushandirwa panguva ino inosiiwa.
  • Hapana endpoint ye-model imwe: GET /v1/models/{id} inopindura 404 ine type not_found_error.