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Build with Claude 4 Opus freeGPT-5.4 vs Claude 4 Opus for Summarisation
Which AI model is better for summarisation? We compare GPT-5.4 and Claude 4 Opus on the criteria that matter most - with a clear verdict.
Why your summarisation LLM choice matters
Effective summarisation requires more than shortening text - it demands identifying what is genuinely important, preserving key nuance, and structuring the output for its intended use. For long documents, large context windows are essential: models that truncate input or hallucinate information they did not actually process are actively counterproductive.
Key evaluation criteria for summarisation
Side-by-Side Comparison
| Feature | GPT-5.4 | Claude 4 OpusWinner |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 1,050,000 tokens | 200,000 tokens |
| Input Cost | $2.50/ 1M tokens | $15.00/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $75.00/ 1M tokens |
| Top pick for Summarisation |
Strengths for Summarisation
GPT-5.4
OpenAI1. 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.
Claude 4 Opus
Anthropic- Highest capability in the family: described as “our most powerful model yet” by Anthropic.
- Exceptional at long-running tasks requiring thousands of steps and sustained focus (e.g., continuous codebase work for hours).
- Excellent performance on benchmarks: e.g., SWE-bench 72.5 % and Terminal-bench 43.2 %.
- Designed for complex agentic workflows, deep reasoning, tool use, and large context windows.
- Placed under a higher safety classification (ASL-3) due to its frontier capability and risk profile.
Verdict: Best LLM for Summarisation
For summarisation tasks, Claude 4 Opus edges ahead based on its performance profile and design priorities. It scores higher on accuracy and completeness of key information - the criterion that matters most for summarisation workflows.
That said, GPT-5.4 remains a strong option. If reduction ratio without information loss is a higher priority than raw performance, or if your team is already using OpenAI's tooling, GPT-5.4 can deliver strong results for summarisation workloads.
With Appaca, you can build summarisation 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 Claude 4 Opus wins for summarisation. Now build with it.
Most teams spend days comparing models and hours copy-pasting prompts. With Appaca, you build a dedicated summarisation app - powered by Claude 4 Opus - in minutes. No code, no re-prompting, runs on any device.
Free to start. Switch models any time. No rebuild required.
Build a summarisation app with Claude 4 Opus - freeFrequently asked questions
Is GPT-5.4 or Claude 4 Opus better for summarisation?
For summarisation tasks, Claude 4 Opus has the edge based on its performance profile and design priorities. It ranks higher on accuracy and completeness of key information, which is the most important criterion for summarisation workflows. That said, both models can handle summarisation workloads - the best choice depends on your specific requirements and budget.
What are the key differences between GPT-5.4 and Claude 4 Opus for summarisation?
The main differences are in accuracy and completeness of key information, context window size for long document handling, structured output formats (bullets, sections). GPT-5.4 is developed by OpenAI and comes from a different provider than Claude 4 Opus. 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 Claude 4 Opus?
GPT-5.4 is cheaper at $2.50/million input tokens, versus $15.00/million for Claude 4 Opus. For summarisation workloads, the total cost difference depends on your average prompt length and volume.
Can I build a summarisation app with GPT-5.4 or Claude 4 Opus?
Yes. Both models can power summarisation applications. With Appaca, you can build a summarisation app using either GPT-5.4 or Claude 4 Opus - 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 accuracy and completeness of key information?
Claude 4 Opus is the stronger choice when accuracy and completeness of key information is your top priority. It ranks #2 overall for summarisation tasks. If cost or latency are constraints, GPT-5.4 may still meet your needs at a lower cost.