gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Tiny GPT-4.1 option for classification, routing, and very high-volume tasks
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Omni-era GPT for multimodal chat, practical coding, and general assistants
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| OpenAI: gpt-oss-20b (batch)openai/gpt-oss-20b:batch | 933.0 | 131.072K | $0.024 | $0.112 | — | |||
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | 929.0 | 128K | $0.075 | $0.2 | — | |||
| Qwen: Qwen3 30B A3B Thinking 2507qwen/qwen3-30b-a3b-thinking-2507 | 928.0 | 81.92K | $0.2 | $2.4 | — | |||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | 896.0 | 327.68K | $0.1 | $0.3 | — | |||
| GPT-4.1 nanoopenai/gpt-4.1-nano | 891.0 | 1.04758M | $0.1 | $0.4 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | 891.0 | 1.04758M | $0.05 | $0.2 | — | |||
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | 882.0 | 128K | $0.188 | $0.652 | — | |||
| GPT-4oopenai/gpt-4o | 858.0 | 128K | $2.5 | $10 | 2024-05-13 | |||
| OpenAI: GPT-4o (batch)openai/gpt-4o:batch | 858.0 | 128K | $1.25 | $5 | — |