Dense 27B vision-language model for coding, agent tasks, and image and video understanding
27 providers
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Dense 27B vision-language model for coding, agent tasks, and image and video understanding
Qwen vision-language model for visual reasoning, documents, and agent tasks
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...
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...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen3.8 27Balibaba/qwen3.8-27b | 262.144K | $0.1 | $0.4 | 2026-08-14 | |||
| Qwen3.6 27Balibaba/qwen3.6-27b | 262.144K | $0.6 | $3.6 | 2026-04-22 | |||
| OpenAI: gpt-oss-120bopenai/gpt-oss-120b | 131.072K | $0.037 | $0.17 | 2025-08-05 | |||
| OpenAI: gpt-oss-20bopenai/gpt-oss-20b | 131.072K | $0.03 | $0.13 | 2025-08-05 |