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black-forest-labs/FLUX-1-dev cover image
$0.009 x (width / 1024) x (height / 1024) x (iters / 25)
  • text-to-image

FLUX.1-dev is a state-of-the-art 12 billion parameter rectified flow transformer developed by Black Forest Labs. This model excels in text-to-image generation, providing highly accurate and detailed outputs. It is particularly well-regarded for its ability to follow complex prompts and generate anatomically accurate images, especially with challenging details like hands and faces.

black-forest-labs/FLUX-1-schnell cover image
$0.0005 x (width / 1024) x (height / 1024) x iters
  • text-to-image

FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. This model offers cutting-edge output quality and competitive prompt following, matching the performance of closed source alternatives. Trained using latent adversarial diffusion distillation, FLUX.1 [schnell] can generate high-quality images in only 1 to 4 steps.

black-forest-labs/FLUX-1.1-pro cover image
$0.04 / img
  • text-to-image

Black Forest Labs' latest state-of-the art proprietary model sporting top of the line prompt following, visual quality, details and output diversity.

black-forest-labs/FLUX-pro cover image
$0.05 / img
  • text-to-image

Black Forest Labs' first flagship model based on Flux latent rectified flow transformers

cognitivecomputations/dolphin-2.6-mixtral-8x7b cover image
bfloat16
32k
Replaced
  • text-generation

The Dolphin 2.6 Mixtral 8x7b model is a finetuned version of the Mixtral-8x7b model, trained on a variety of data including coding data, for 3 days on 4 A100 GPUs. It is uncensored and requires trust_remote_code. The model is very obedient and good at coding, but not DPO tuned. The dataset has been filtered for alignment and bias. The model is compliant with user requests and can be used for various purposes such as generating code or engaging in general chat.

cognitivecomputations/dolphin-2.9.1-llama-3-70b cover image
bfloat16
8k
Replaced
  • text-generation

Dolphin 2.9.1, a fine-tuned Llama-3-70b model. The new model, trained on filtered data, is more compliant but uncensored. It demonstrates improvements in instruction, conversation, coding, and function calling abilities.

deepinfra/airoboros-70b cover image
fp16
4k
Replaced
  • text-generation

Latest version of the Airoboros model fine-tunned version of llama-2-70b using the Airoboros dataset. This model is currently running jondurbin/airoboros-l2-70b-2.2.1

deepseek-ai/DeepSeek-R1 cover image
fp4
160k
$0.45/$2.15 in/out Mtoken
  • text-generation

We introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.

deepseek-ai/DeepSeek-R1-Distill-Qwen-32B cover image
fp8
128k
$0.075/$0.15 in/out Mtoken
  • text-generation

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models. Other benchmark results include: AIME 2024: 72.6 | MATH-500: 94.3 | CodeForces Rating: 1691.

deepseek-ai/DeepSeek-R1-Turbo cover image
fp4
32k
$1.00/$3.00 in/out Mtoken
  • text-generation

We introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.

deepseek-ai/Janus-Pro-1B cover image
$0.0005 / img
  • text-to-image

Janus-Pro is a novel autoregressive framework that unifies multimodal understanding and generation. It addresses the limitations of previous approaches by decoupling visual encoding into separate pathways, while still utilizing a single, unified transformer architecture for processing. The decoupling not only alleviates the conflict between the visual encoder’s roles in understanding and generation, but also enhances the framework’s flexibility. Janus-Pro surpasses previous unified model and matches or exceeds the performance of task-specific models. The simplicity, high flexibility, and effectiveness of Janus-Pro make it a strong candidate for next-generation unified multimodal models.

deepseek-ai/Janus-Pro-7B cover image
$0.002 / img
  • text-to-image

Janus-Pro is a novel autoregressive framework that unifies multimodal understanding and generation. It addresses the limitations of previous approaches by decoupling visual encoding into separate pathways, while still utilizing a single, unified transformer architecture for processing. The decoupling not only alleviates the conflict between the visual encoder’s roles in understanding and generation, but also enhances the framework’s flexibility. Janus-Pro surpasses previous unified model and matches or exceeds the performance of task-specific models. The simplicity, high flexibility, and effectiveness of Janus-Pro make it a strong candidate for next-generation unified multimodal models.

google/codegemma-7b-it cover image
fp16
8k
Replaced
  • text-generation

CodeGemma is a collection of lightweight open code models built on top of Gemma. CodeGemma models are text-to-text and text-to-code decoder-only models and are available as a 7 billion pretrained variant that specializes in code completion and code generation tasks, a 7 billion parameter instruction-tuned variant for code chat and instruction following and a 2 billion parameter pretrained variant for fast code completion.

google/gemini-1.5-flash cover image
976k
Deprecated
  • text-generation

Gemini 1.5 Flash is Google's foundation model that performs well at a variety of multimodal tasks such as visual understanding, classification, summarization, and creating content from image, audio and video. It's adept at processing visual and text inputs such as photographs, documents, infographics, and screenshots. Gemini 1.5 Flash is designed for high-volume, high-frequency tasks where cost and latency matter.

google/gemma-1.1-7b-it cover image
bfloat16
8k
Replaced
  • text-generation

Gemma is an open-source model designed by Google. This is Gemma 1.1 7B (IT), an update over the original instruction-tuned Gemma release. Gemma 1.1 was trained using a novel RLHF method, leading to substantial gains on quality, coding capabilities, factuality, instruction following and multi-turn conversation quality.

google/gemma-2-27b-it cover image
bfloat16
8k
Replaced
  • text-generation

Gemma is a family of lightweight, state-of-the-art open models from Google. Gemma-2-27B delivers the best performance for its size class, and even offers competitive alternatives to models more than twice its size.