Auto-generated comparison

OpenAI: GPT-5.1-Codex vs Relace: Relace Apply 3

OpenAI: GPT-5.1-Codex wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityOpenAI: GPT-5.1-CodexRelace: Relace Apply 3Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
400K256K🏆 OpenAI: GPT-5.1-Codex
Input price (per 1M)
Cost per million input tokens billed by the provider.
$1.25$0.85🏆 Relace: Relace Apply 3
Output price (per 1M)
Cost per million output tokens billed by the provider.
$10.00$1.25🏆 Relace: Relace Apply 3
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 OpenAI: GPT-5.1-Codex
Vision input
Accepts image inputs alongside text.
Yes🏆 OpenAI: GPT-5.1-Codex
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 OpenAI: GPT-5.1-Codex

Frequently asked questions

Is OpenAI: GPT-5.1-Codex better than Relace: Relace Apply 3?

OpenAI: GPT-5.1-Codex wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between OpenAI: GPT-5.1-Codex and Relace: Relace Apply 3?

Input: $1.25 vs $0.85 per 1M tokens. Output: $10.00 vs $1.25 per 1M tokens.

What context windows do OpenAI: GPT-5.1-Codex and Relace: Relace Apply 3 support?

OpenAI: GPT-5.1-Codex supports up to 400K tokens. Relace: Relace Apply 3 supports up to 256K tokens.

Do both OpenAI: GPT-5.1-Codex and Relace: Relace Apply 3 support tool calling?

OpenAI: GPT-5.1-Codex: yes. Relace: Relace Apply 3: not advertised.

Compare OpenAI: GPT-5.1-Codex with other models

Compare Relace: Relace Apply 3 with other models