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LLM for Use CaseLegalGPT-5.4 vs GPT-5.1 Codex

GPT-5.4 vs GPT-5.1 Codex for Legal

Which AI model is better for legal? We compare GPT-5.4 and GPT-5.1 Codex on the criteria that matter most - with a clear verdict.

Why your legal LLM choice matters

Legal applications demand precision above all else - a poorly worded clause or missed risk can have significant financial and legal consequences. The best legal LLMs combine large context windows for full-document review with careful, disclaimer-aware output and the ability to identify ambiguous or missing language.

Key evaluation criteria for legal

1Precision and accuracy in legal language
2Ability to identify risks and ambiguous clauses
3Appropriate caveats and professional disclaimers
4Handling long documents within context window

Side-by-Side Comparison

FeatureGPT-5.4WinnerGPT-5.1 Codex
ProviderOpenAIOpenAI
Model Typetexttext
Context Window1,050,000 tokens400,000 tokens
Input Cost
$2.50/ 1M tokens
$1.25/ 1M tokens
Output Cost
$15.00/ 1M tokens
$10.00/ 1M tokens
Top pick for Legal

Strengths for Legal

GPT-5.4

OpenAI

1. Best Intelligence at Scale

  • OpenAI positions GPT-5.4 as its frontier model for agentic, coding, and professional workflows.
  • Built for complex professional work where stronger reasoning and higher answer quality matter.

2. Configurable Reasoning + Multimodal Input

  • Supports configurable reasoning effort from none to xhigh, letting teams balance speed and depth.
  • Accepts both text and image inputs while producing text output.

3. Massive Context for Long-Running Work

  • 1.05M token context window supports very large codebases, documents, and multi-step workflows.
  • Allows up to 128 k output tokens for long-form answers and larger generations.

4. Updated Knowledge & Broad Tool Support

  • Knowledge cut-off of Aug 31 2025 keeps it current for newer frameworks and business context.
  • Supports tools like web search, file search, code interpreter, hosted shell, computer use, and MCP in the Responses API.

GPT-5.1 Codex

OpenAI

1. Purpose-Built for Agentic Coding

  • Designed specifically for environments where the model acts as an autonomous or semi-autonomous coding agent.
  • Optimized for multi-step reasoning in code tasks such as planning, refactoring, debugging, file generation, and tool coordination.

2. Enhanced Coding Intelligence

  • Extends GPT-5.1's advanced reasoning capabilities to handle complex software architecture decisions.
  • Better accuracy in code generation across languages (JavaScript, Python, TypeScript, Go, Rust, etc.).
  • Produces cleaner, more idiomatic code aligned with modern frameworks and best practices.

3. Superior Tool Use & Code Navigation

  • Excels at reading, understanding, and transforming multi-file codebases.
  • Works well with Codex workflows that simulate real developer tooling.
  • Strong at following function signatures, constraints, and code patterns within an existing project.

4. Long-Range Context Awareness

  • 400,000-token context window enables the model to ingest large repositories or multiple files simultaneously.
  • Supports deep analysis of project structures, dependencies, and cross-file logic.

5. Multi-Modal Development Capabilities

  • Accepts text + image input and output - suitable for tasks like:
    • Reading UI mockups or screenshots to generate code
    • Understanding architectural diagrams
    • Reviewing images of whiteboard sessions

6. Agentic Workflow Optimization

  • Built to manage longer chains of thought and execution typically required in:
    • Automated code repair
    • Project bootstrapping
    • Linting and migration tasks
    • Long-running coding agents using planning + execution loops

7. Continually Updated Model Snapshot

  • Codex-specific version receives regular upgrades behind the scenes.
  • Ensures the latest coding improvements without requiring developers to update model names.

8. Reliable Instruction Following

  • Highly consistent in honoring explicit constraints:
    • Code styles
    • Folder structures
    • API contracts
    • Framework conventions

9. Broad API Support

  • Works across Chat Completions, Responses API, Realtime, Assistants, and more.
  • Ideal for apps that need live, reasoning-heavy coding agents or generative dev environments.

Verdict: Best LLM for Legal

For legal tasks, GPT-5.4 edges ahead based on its performance profile and design priorities. It scores higher on precision and accuracy in legal language - the criterion that matters most for legal workflows.

That said, GPT-5.1 Codex remains a strong option. If handling long documents within context window is a higher priority than raw performance, or if your team is already using OpenAI's tooling, GPT-5.1 Codex can deliver strong results for legal workloads.

With Appaca, you can build legal apps powered by either model and switch between them at any time - no rebuild required. Test what actually performs best for your users before committing.

You know GPT-5.4 wins for legal. Now build with it.

Most teams spend days comparing models and hours copy-pasting prompts. With Appaca, you build a dedicated legal app - powered by GPT-5.4 - in minutes. No code, no re-prompting, runs on any device.

Free to start. Switch models any time. No rebuild required.

Build a legal app with GPT-5.4 - free

Frequently asked questions

Is GPT-5.4 or GPT-5.1 Codex better for legal?

For legal tasks, GPT-5.4 has the edge based on its performance profile and design priorities. It ranks higher on precision and accuracy in legal language, which is the most important criterion for legal workflows. That said, both models can handle legal workloads - the best choice depends on your specific requirements and budget.

What are the key differences between GPT-5.4 and GPT-5.1 Codex for legal?

The main differences are in precision and accuracy in legal language, ability to identify risks and ambiguous clauses, appropriate caveats and professional disclaimers. GPT-5.4 is developed by OpenAI and shares the same provider as GPT-5.1 Codex. Context window, pricing, and speed all differ - check the comparison table above for a side-by-side breakdown.

How much does it cost to use GPT-5.4 vs GPT-5.1 Codex?

GPT-5.1 Codex is cheaper at $1.25/million input tokens, versus $2.50/million for GPT-5.4. For legal workloads, the total cost difference depends on your average prompt length and volume.

Can I build a legal app with GPT-5.4 or GPT-5.1 Codex?

Yes. Both models can power legal applications. With Appaca, you can build a legal app using either GPT-5.4 or GPT-5.1 Codex - and switch between them at any time to find the model that performs best for your specific workflow, without rebuilding your product.

Which model should I choose if I care most about precision and accuracy in legal language?

GPT-5.4 is the stronger choice when precision and accuracy in legal language is your top priority. It ranks #3 overall for legal tasks. If cost or latency are constraints, GPT-5.1 Codex may still meet your needs at a lower cost.