GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
Model details →OpenAI: GPT-5.1-Codex-Mini vs PrismML: Ternary Bonsai 2 27B
PrismML: Ternary Bonsai 2 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5.1-Codex-Mini | PrismML: Ternary Bonsai 2 27B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 400K | 262K | 🏆 OpenAI: GPT-5.1-Codex-Mini |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.25 | $0.07 | 🏆 PrismML: Ternary Bonsai 2 27B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.00 | $0.50 | 🏆 PrismML: Ternary Bonsai 2 27B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is OpenAI: GPT-5.1-Codex-Mini better than PrismML: Ternary Bonsai 2 27B?
PrismML: Ternary Bonsai 2 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-5.1-Codex-Mini and PrismML: Ternary Bonsai 2 27B?
Input: $0.25 vs $0.07 per 1M tokens. Output: $2.00 vs $0.50 per 1M tokens.
What context windows do OpenAI: GPT-5.1-Codex-Mini and PrismML: Ternary Bonsai 2 27B support?
OpenAI: GPT-5.1-Codex-Mini supports up to 400K tokens. PrismML: Ternary Bonsai 2 27B supports up to 262K tokens.
Do both OpenAI: GPT-5.1-Codex-Mini and PrismML: Ternary Bonsai 2 27B support tool calling?
OpenAI: GPT-5.1-Codex-Mini: yes. PrismML: Ternary Bonsai 2 27B: yes.