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Models & ọnụahịa

Models & ọnụahịa

KWA 1M TOKENS

Model id ọ bụla nke API, ihe ọ na-anabata na ihe ọ na-efu: Shannon models 10 na hosted open-weight models 12, nke ọ bụla dị na endpoints atọ ahụ niile. GET /v1/models na-eweghachi otu ndepụta dị ka JSON.

model na-enweghị mmachi
22
context window
256K
site na
$0.50 /1M

Hosted open-weight models

context nke tokens 262,144 na id ọ bụla; input na output na-akwụ ụgwọ n'otu n'otu; id ọ bụla na-anabata ihe model ọ na-eṅomi na-anabata

ModelInputStructured outputIn / cached / out kwa 1MNdị ọzọ
DeepSeek-V4-Pro-08133BIT-REAPDeepSeek · 1.6T MoE · 49B activeEnweghị mmachiText na inputJSON schema$1.95 / $0.488 / $3.90
GLM-5.23BIT-REAPZ.ai · 744B MoE · 40B activeEnweghị mmachiText na inputJSON schema$0.73 / $0.183 / $2.34
Kimi-K33BIT-REAPMoonshot AI · 2.8T MoE · 104B activeEnweghị mmachiText + foto na inputJSON schema$3.83 / $0.958 / $19.12
Nemotron3Ultra3BIT-REAPNVIDIA · 550B hybrid Mamba-Attention MoE · 55B activeEnweghị mmachiText na inputJSON schema$0.75 / $0.188 / $3.30
MiniMax-M33BIT-REAPMiniMax · 428B MoE · 23B active · sparse attentionEnweghị mmachiText + foto na inputJSON schema$0.50 / $0.125 / $2.00
DeepSeek-V4-Flash-0731W4A16-AUTOROUND-REAPDeepSeek · 284B MoE · 13B activeEnweghị mmachiText na inputJSON schema$0.50 / $0.125 / $2.00
Kimi-K2.6W4A16-AUTOROUND-REAPMoonshot AI · 1T MoE · 32B activeEnweghị mmachiText + foto na inputJSON schema$0.78 / $0.195 / $3.67
Laguna-S-2.1W4A16-AUTOROUND-REAPPoolside · 118B MoE · 8B activeEnweghị mmachiText na inputEnweghị structured output$0.50 / $0.125 / $2.00
inklingW4A16-AUTOROUND-REAPThinking Machines · 975B MoE · 41B activeEnweghị mmachiText + foto na inputJSON object$1.42 / $0.355 / $6.07
MiMo-V2.5-ProW8A16Xiaomi · 1.02T MoE · 42B active · 8-bitEnweghị mmachiText na inputJSON schema$0.50 / $0.125 / $2.00
MiMo-V2.5W8A16Xiaomi · 8-bit multimodal · W8A16Enweghị mmachiText + foto na inputJSON schema$0.50 / $0.125 / $2.00
Hy3W8A16Tencent · 295B MoE · 21B active · 8-bitEnweghị mmachiText na inputJSON schema$0.50 / $0.125 / $2.00

Models Shannon

otu ọnụego nkwụsi ike maka input na output

ModelContextInputStructured outputỌnụahịa / 1M tokens
Shannon 1.6 Liteshannon-1.6-liteEnweghị mmachi192KText + foto na inputJSON schema$3.90
Shannon 1.6 Proshannon-1.6-proEnweghị mmachi192KText + foto na inputJSON schema$7.80
Shannon 2 Liteshannon-2-liteEnweghị mmachi192KText + foto na inputJSON schema$3.90
Shannon 2 Proshannon-2-proEnweghị mmachi192KText + foto na inputJSON schema$5.85
Shannon 3shannon-3Enweghị mmachi192KText + foto na inputJSON schema$3.35
Shannon 3 Proshannon-3-proEnweghị mmachi192KText + foto na inputJSON schema$3.35
Shannon 3.1shannon-3.1Enweghị mmachi192KText + foto na inputJSON schema$3.35
Shannon 3.1 Proshannon-3.1-proEnweghị mmachi192KText + foto na inputJSON schema$3.35
Shannon 3.5shannon-3.5Enweghị mmachi192KText + foto na inputJSON schema$3.35
Shannon Coder 1shannon-coder-1Enweghị mmachi128KText na inputJSON schema$8.00

Gaa na Quickstart Nwale Playground

Otu esi agụ ahịrị

Kọlụm Ihe ọ na-ekwu
Model Aha maka ngosi. Ahịrị dị n'okpuru ya bụ id ị na-ezipu dị ka model. Na hosted table id bụ aha na tag dị n'akụkụ ya, jikọtara site na hyphen: MiniMax-M3 na 3BIT-REAP na-eme MiniMax-M3-3BIT-REAP. Ahịrị dị n'okpuru aha na-egosi onye mere model na nha ya.
Context Context window: ole tokens nke mkparịta ụka model na-agụ. K pụtara tokens 1,024. Ọnụọgụ ziri ezi bụ context_window na GET /v1/models.
Input Text naanị, ma ọ bụ text na images. Model na-agụ images na-akọ capabilities.vision: true. shannon-2-lite na shannon-2-pro na-agụ images na requests na-ezipukwa tools ma ọ bụ response_format.
Structured output Ihe response_format nwere ike ịrịọ site na model: azịza na-eso JSON schema gị, azịza bụ JSON object, ma ọ bụ ọ nweghị nke ọ bụla.
Ọnụahịa USD kwa tokens 1,000,000. Shannon model nwere otu ọnụahịa maka input na output. Hosted open-weight model nwere atọ: input, cached input na output.

Model ọ bụla na-eme streaming ma nwee ike ikpọ tools. Atụmatụ ndị ọzọ nke API ka akọwara na peeji Capabilities. Ikike

Context window na output limits

  • Context window na-ekpuchi ihe niile model na-agụ maka otu azịza: ozi gị, tool definitions na images.
  • Shannon 3 family na-eme ka mkparịta ụka ka ogologo baa n'onwe ya: ọ na-edebe turns ọhụrụ kacha ndị na-abanye n'ime window ma zaa.
  • Na stream, a na-akọ prompt toro ogologo dị ka error frame nwere ụdị invalid_request_error na code: "context_length_exceeded".
  • max_tokens na-anara uru site na 1 ruo 65,536 na model ọ bụla; max_output_tokens na GET /v1/models bụ elu nke oke ahụ. Default bụ 4,096.
  • Na model ọ bụla, max_tokens bụ ego request na-edebe site na balance gị.
  • Dị ka oke maka ogologo azịza, hosted open-weight models, shannon-1.6-lite, shannon-1.6-pro na shannon-coder-1 na-etinye max_tokens.
  • Na hosted open-weight models ọ na-ejedebe ederede azịza. A naghị agụ reasoning tupu azịza megide ya, uru dị n'okpuru 256 na-arụ ọrụ dị ka 256.
  • Stream nke shannon-1.6-lite, shannon-1.6-pro, shannon-coder-1 ma ọ bụ Shannon 3 family na-ejedebe na finish_reason: "length" mgbe e bipụrụ azịza na oke ya.

Limits na balance

Otu esi akpụ ọnụahịa

  • Ọnụahịa dị na USD kwa tokens 1,000,000. A na-agụ balance gị na tokens bara uru $5.00 kwa 1,000,000, ya mere ọnụahịa model na-ekwu ole balance tokens ya na-ewe.
  • Shannon models nwere otu ọnụahịa. A na-akwụ ụgwọ call maka usage.total_tokens na ọnụahịa ahụ.
  • Hosted open-weight models nwere ọnụahịa atọ. A na-akwụ ụgwọ input e sitere na prompt cache gụọ na cached price, nke bụ 25% nke input price gbagoro ruo $0.001. A na-akwụ ụgwọ input ndị ọzọ na input price, output na output price.
  • Hosted open-weight models na-agụ tokens site na tokenizer nke model ọ bụla. GET /v1/models na-akaa nke a dị ka tokenizer: "original".
  • A na-agụ shannon-coder-1 na calls, ọ bụghị tokens, na /v1/chat/completions na /v1/messages. Ọnụahịa edepụtara ya na-emetụta /v1/responses.

Ihe request na-edebe, ihe atụ nke ụgwọ na Shannon Coder call allowance dị na Limits na balance. Limits na balance

Model ids

Zipụ otu n'ime ids ndị a dị ka 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
  • Mkpụrụedemede nta na nnukwu adịghị mkpa, a na-ewepụkwa oghere gburugburu id: SHANNON-3 na shannon-3 bụ otu model.
  • Azịza na-ebu id e bipụtara mgbe niile na model, ma ọ bụ ụdị ederede ọ bụla i zipụrụ.
  • Aha ngosi dị ka Shannon 3 abụghị id.

A na-anabatakwa ụdị ederede anọ dị mkpụmkpụ.

Ị na-ezipu Model na-aza
shannon-1.6 shannon-1.6-lite
shannon-3-lite shannon-3
shannon-3.1-lite shannon-3.1
shannon-coder shannon-coder-1

A na-aza id e bipụtaghị na status 400, ụdị invalid_request_error na ozi unknown model: <id> na endpoints atọ ahụ niile. Enweghị model ọzọ na-aza n'ọnọdụ ya.

{
  "error": {
    "type": "invalid_request_error",
    "message": "unknown model: gpt-4o"
  }
}
  • Zipụ model mgbe niile. /v1/responses na-aza request na-enweghị ya na 400. Na /v1/chat/completions na /v1/messages shannon-1.6-lite na-aza request dị otú ahụ.
  • POST /v1/tokenize na POST /v1/messages/count_tokens na-anara hosted open-weight ids.

Depụta models

GET /v1/models na-eweghachi models nke peeji a dị ka JSON, na otu context windows, ọnụahịa na ikike. Jiri ya dejupụta model picker ma ọ bụ lelee ọnụahịa na koodu.

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)

Azịza ahụ, ekelelatara n'otu entry nke ụdị ọ bụla:

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 Ụdị Nkọwa Dị na
object string Mgbe niile list.
data array Otu entry maka model ọ bụla enwere ike ịkpọ.
data[].id string Id ị na-ezipu dị ka model. Model ọ bụla
data[].object string Mgbe niile model. Model ọ bụla
data[].created integer Ọnụọgụ kwụsiri ike, otu maka model ọ bụla: 1700000000. Model ọ bụla
data[].owned_by string Mgbe niile shannon-ai. Model ọ bụla
data[].display_name string Aha maka ngosi. A naghị anabata ya dị ka model. Model ọ bụla
data[].context_window integer Context window na tokens. Model ọ bụla
data[].max_output_tokens integer Output budget kacha ukwuu request nwere ike ịrịọ: 65536 na model ọ bụla. Model ọ bụla
data[].pricing.input_per_million_usd number Ọnụahịa input tokens 1,000,000 na USD. Model ọ bụla
data[].pricing.cached_input_per_million_usd number Ọnụahịa input tokens 1,000,000 e sitere na prompt cache gụọ. Hosted open-weight models
data[].pricing.output_per_million_usd number Ọnụahịa output tokens 1,000,000 na USD. Na Shannon model ọ hà nhata input price. Model ọ bụla
data[].pricing.currency string Mgbe niile USD. Model ọ bụla
data[].tokenizer string original: a na-agụ tokens site na tokenizer nke model n'onwe ya. Hosted open-weight models
data[].capabilities.tools boolean Model nwere ike ikpọ tools i kwupụtara. true na model ọ bụla. Model ọ bụla
data[].capabilities.vision boolean Model na-agụ images. Model ọ bụla
data[].capabilities.reasoning boolean Model na-eche echiche tupu ọ zaa. Model ọ bụla
data[].capabilities.reasoning_effort boolean Request field reasoning_effort na-arụ ọrụ na model a. Model ọ bụla
data[].capabilities.streaming boolean true na model ọ bụla. Model ọ bụla
data[].capabilities.json_schema boolean response_format nke ụdị json_schema na-arụ ọrụ. Model ọ bụla
data[].capabilities.response_format boolean response_format na-arụ ọrụ ma ọlị, opekata mpe dị ka JSON object. Hosted open-weight models
data[].capabilities.prompt_caching boolean A na-edebe prompt prefixes ejikọtara ugboro ugboro n'ime cache ma na-akwụ ụgwọ na cached price. Hosted open-weight models
data[].endpoints array Paths na-anara id a. Model ọ bụla
  • GET /v1/models achọghị key. Azịza ahụ bụ otu maka onye ọ bụla na-akpọ ma ọ dabereghị na plan gị.
  • Ndepụta ahụ nwere ids enwere ike ịkpọ. A na-ahapụ model enweghị ike ijere ozi n'oge a n'ime ya.
  • Enweghị endpoint maka otu model: GET /v1/models/{id} na-aza 404 nwere ụdị not_found_error.