Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
Model details →inclusionAI: Ling 3.1 Flash vs OpenAI: GPT-5.1-Codex-Mini
inclusionAI: Ling 3.1 Flash and OpenAI: GPT-5.1-Codex-Mini are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
Model details →Side-by-side comparison
| Capability | inclusionAI: Ling 3.1 Flash | OpenAI: GPT-5.1-Codex-Mini | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 400K | 🏆 OpenAI: GPT-5.1-Codex-Mini |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.00 | $0.25 | 🏆 inclusionAI: Ling 3.1 Flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.00 | $2.00 | 🏆 inclusionAI: Ling 3.1 Flash |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 OpenAI: GPT-5.1-Codex-Mini |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is inclusionAI: Ling 3.1 Flash better than OpenAI: GPT-5.1-Codex-Mini?
inclusionAI: Ling 3.1 Flash and OpenAI: GPT-5.1-Codex-Mini are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between inclusionAI: Ling 3.1 Flash and OpenAI: GPT-5.1-Codex-Mini?
Input: $0.00 vs $0.25 per 1M tokens. Output: $0.00 vs $2.00 per 1M tokens.
What context windows do inclusionAI: Ling 3.1 Flash and OpenAI: GPT-5.1-Codex-Mini support?
inclusionAI: Ling 3.1 Flash supports up to 262K tokens. OpenAI: GPT-5.1-Codex-Mini supports up to 400K tokens.
Do both inclusionAI: Ling 3.1 Flash and OpenAI: GPT-5.1-Codex-Mini support tool calling?
inclusionAI: Ling 3.1 Flash: yes. OpenAI: GPT-5.1-Codex-Mini: yes.