Open GPT reasoning model for self-hosted agents and controllable deployments
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
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...
Open GPT reasoning model for self-hosted agents and controllable deployments
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...
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...
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...
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...
Omni-era GPT for multimodal chat, practical coding, and general assistants
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| GPT OSS 120Bopenai/gpt-oss-120b | 1002.0 | 131.072K | $0.03 | $0.17 | 2025-08-05 | |||
| OpenAI: gpt-oss-120b (batch)openai/gpt-oss-120b:batch | 1002.0 | 131.072K | $0.15 | $0.6 | — | |||
| Qwen: Qwen3 235B A22B Thinking 2507qwen/qwen3-235b-a22b-thinking-2507 | 964.0 | 131.072K | $0.23 | $2.3 | — | |||
| OpenAI: gpt-oss-20b (free)openai/gpt-oss-20b:free | 953.0 | 131.072K | Free | Free | — | |||
| GPT OSS 20Bopenai/gpt-oss-20b | 947.0 | 131.072K | $0.02 | $0.1 | 2025-08-05 | |||
| OpenAI: gpt-oss-20b (batch)openai/gpt-oss-20b:batch | 947.0 | 131.072K | $0.05 | $0.2 | — | |||
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | 943.0 | 128K | $0.075 | $0.2 | — | |||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | 909.0 | 327.68K | $0.1 | $0.3 | — | |||
| GPT-4.1 nanoopenai/gpt-4.1-nano | 906.0 | 1.04758M | $0.1 | $0.4 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | 906.0 | 1.04758M | $0.05 | $0.2 | — | |||
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | 896.0 | 128K | $0.2 | $0.696 | — | |||
| OpenAI: GPT-4o (batch)openai/gpt-4o:batch | 871.0 | 128K | $1.25 | $5 | — | |||
| GPT-4oopenai/gpt-4o | 871.0 | 128K | $2.5 | $10 | 2024-05-13 |