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Models

Open-weight models for chat, reasoning, code, embeddings, vision and images, behind one API. Models on the same endpoint share a request shape, so switching between them is a one-string change.

All 24 models

  • BGE-M3

    BAAI · embeddings

    Input / 1M
    $0.01
    Output / 1M
    —
    p50
    18 ms
    Context
    8K
    Speed
    —
  • DeepSeek R1 0528

    DeepSeek · reasoning

    Input / 1M
    $0.70
    Output / 1M
    $2.40
    p50
    520 ms
    Context
    128K
    Speed
    48 tok/s
  • DeepSeek R1 Distill Llama 70B

    DeepSeek · reasoning

    Input / 1M
    $0.58
    Output / 1M
    $0.78
    p50
    230 ms
    Context
    128K
    Speed
    90 tok/s
  • DeepSeek V3.1

    DeepSeek · chatcode

    Input / 1M
    $0.55
    Output / 1M
    $1.65
    p50
    280 ms
    Context
    128K
    Speed
    62 tok/s
  • Devstral Small 2

    Mistral AI · code

    Input / 1M
    $0.09
    Output / 1M
    $0.30
    p50
    120 ms
    Context
    128K
    Speed
    160 tok/s
  • FLUX.1 [dev]

    Black Forest Labs · image

    Price
    $0.025 / image
    p50
    4.2 s
    Context
    —
    Speed
    —
  • FLUX.1 [schnell]

    Black Forest Labs · image

    Price
    $0.003 / image
    p50
    900 ms
    Context
    —
    Speed
    —
  • Gemma 3 27B

    Google · chatvision

    Input / 1M
    $0.20
    Output / 1M
    $0.40
    p50
    135 ms
    Context
    128K
    Speed
    140 tok/s
  • Input / 1M
    $0.10
    Output / 1M
    $0.14
    p50
    74 ms
    Context
    128K
    Speed
    240 tok/s
  • Input / 1M
    $0.54
    Output / 1M
    $0.72
    p50
    212 ms
    Context
    128K
    Speed
    96 tok/s
  • Llama 4 Maverick

    Meta · chatvision

    Input / 1M
    $0.27
    Output / 1M
    $0.85
    p50
    165 ms
    Context
    1M
    Speed
    118 tok/s
  • Llama 4 Scout

    Meta · chatvision

    Input / 1M
    $0.18
    Output / 1M
    $0.59
    p50
    130 ms
    Context
    1M
    Speed
    150 tok/s
  • Mistral Large 3

    Mistral AI · chatvision

    Input / 1M
    $0.65
    Output / 1M
    $1.60
    p50
    270 ms
    Context
    256K
    Speed
    58 tok/s
  • Mistral Small 3.2 24B

    Mistral AI · chatvision

    Input / 1M
    $0.10
    Output / 1M
    $0.25
    p50
    110 ms
    Context
    128K
    Speed
    170 tok/s
  • Nomic Embed Text v1.5

    Nomic · embeddings

    Input / 1M
    $0.008
    Output / 1M
    —
    p50
    14 ms
    Context
    8K
    Speed
    —
  • Phi-4 14B

    Microsoft · chatreasoning

    Input / 1M
    $0.07
    Output / 1M
    $0.14
    p50
    85 ms
    Context
    16K
    Speed
    200 tok/s
  • Input / 1M
    $0.28
    Output / 1M
    $0.44
    p50
    140 ms
    Context
    128K
    Speed
    125 tok/s
  • Qwen2.5 VL 72B Instruct

    Alibaba · visionchat

    Input / 1M
    $0.60
    Output / 1M
    $0.80
    p50
    330 ms
    Context
    32K
    Speed
    80 tok/s
  • Qwen3 235B A22B

    Alibaba · chatreasoning

    Input / 1M
    $0.22
    Output / 1M
    $0.88
    p50
    240 ms
    Context
    128K
    Speed
    85 tok/s
  • Qwen3 32B

    Alibaba · chatreasoning

    Input / 1M
    $0.30
    Output / 1M
    $0.50
    p50
    150 ms
    Context
    128K
    Speed
    130 tok/s
  • Qwen3 8B

    Alibaba · chat

    Input / 1M
    $0.07
    Output / 1M
    $0.12
    p50
    68 ms
    Context
    128K
    Speed
    270 tok/s
  • Qwen3 Coder 480B A35B

    Alibaba · code

    Input / 1M
    $0.95
    Output / 1M
    $1.90
    p50
    290 ms
    Context
    256K
    Speed
    70 tok/s
  • Qwen3 Embedding 8B

    Alibaba · embeddings

    Input / 1M
    $0.02
    Output / 1M
    —
    p50
    41 ms
    Context
    32K
    Speed
    —
  • Stable Diffusion 3.5 Large

    Stability AI · image

    Price
    $0.035 / image
    p50
    5.6 s
    Context
    —
    Speed
    —

Prices in USD: token models per 1M tokens, image models per image. Price order blends input and output tokens 50/50, with image models after. p50 is the median time to first token (full response for embeddings and images) over the last 24 hours; speed is decode tokens per second for one request.