OpenChat 3 Models by Alignment Lab AI
Last refreshed 2026-05-19. Next refresh: weekly.
Details
Capabilities
About
The OpenChat 3 family consists of open-source large language models (LLMs) that are fine-tuned using a novel approach called C-RLFT, inspired by offline reinforcement learning. These models are trained on a diverse dataset without needing explicit preference labels, enabling them to achieve comparable performance to models like ChatGPT, even with smaller sizes such as 7 billion parameters. The family includes versions like OpenChat 3.5 and 3.6, featuring improved coding capabilities and overall performance enhancements. These models are designed for tasks like chat, conversation, text generation, and coding, and are licensed under Apache 2.0. They are highly optimized for efficiency and speed, often utilizing quantization methods, and are compatible with a wide range of clients and libraries, making them accessible to many users 27.
Decision facts
- Best fit
- structured outputscodingmath-heavy prompts
- Capability starting point
- OpenChat 3.6 8B with 8k context and structured outputs
- Lowest tracked input
- OpenChat 3.6 8B · $0.05/1M · DeepInfra
- Closest related family
- MOSS-Audio
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 8k context, 8B parameters, and structured outputs.
Use when the workload needs 4k context and 13B parameters.
Use when the workload needs 4k context and 13B parameters.
Use when the workload needs 4k context and 13B parameters.
Use when the workload needs 8k context, 7B parameters, and structured outputs.
Use when the workload needs 8k context and 7B parameters.
Use when the workload needs 8k context and 7B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| OpenChat 3.6 8B | Use when the workload needs 8k context, 8B parameters, and structured outputs. | 2024-05 | 8k context8B parametersstructured outputs | Current |
| OpenChat 3.1 | Use when the workload needs 4k context and 13B parameters. | 2024-01 | 4k context13B parameters | Current |
| OpenChat 3.2 | Use when the workload needs 4k context and 13B parameters. | 2024-01 | 4k context13B parameters | Current |
| OpenChat 3.2 Super | Use when the workload needs 4k context and 13B parameters. | 2024-01 | 4k context13B parameters | Current |
| OpenChat 3.5 (0106) | Use when the workload needs 8k context, 7B parameters, and structured outputs. | 2024-01 | 8k context7B parametersstructured outputs | Current |
| OpenChat 3.5 Gemma | Use when the workload needs 8k context and 7B parameters. | 2024-01 | 8k context7B parameters | Current |
| OpenChat 3.5 (1210) | Use when the workload needs 8k context and 7B parameters. | 2023-12 | 8k context7B parameters | Current |
Release Timeline
3 release groupsSpecifications(7 models)
| Model | Released | Context | Parameters | Structured Outputs |
|---|---|---|---|---|
| OpenChat 3.6 8B | 2024-05 | 8k | 8B | Yes |
| OpenChat 3.1 | 2024-01 | 4k | 13B | No |
| OpenChat 3.2 | 2024-01 | 4k | 13B | No |
| OpenChat 3.2 Super | 2024-01 | 4k | 13B | No |
| OpenChat 3.5 (0106) | 2024-01 | 8k | 7B | Yes |
| OpenChat 3.5 Gemma | 2024-01 | 8k | 7B | No |
| OpenChat 3.5 (1210) | 2023-12 | 8k | 7B | No |
Available From(4 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| OpenChat 3.6 8B | DeepInfra | $0.05 | $0.15 | Serverless |
| OpenChat 3.5 (0106) | Lepton AI API | $0.07 | $0.07 | Serverless |
| OpenChat 3.5 (0106) | Together AI | $0.2 | $0.2 | Serverless |
| OpenChat 3.5 (0106) | Fireworks AI | $0.2 | $0.2 | Provisioned |
