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GPT-4.1 vs Claude 4.1 Opus

Compare pricing, context windows, and strengths for GPT-4.1 by OpenAI and Claude 4.1 Opus by Anthropic - and see how to put either to work in Appaca.

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GPT-4.1

A highly capable non-reasoning model that excels at instruction following, tool calling, and broad domain knowledge with a 1M-token context window.

View GPT-4.1
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Claude 4.1 Opus

A refined flagship model with improved coding, reasoning, research depth, and agentic task performance over Opus 4.

View Claude 4.1 Opus

GPT-4.1 vs Claude 4.1 Opus at a glance

Specs and pricing side by side, from the Appaca AI models directory.

Spec GPT-4.1 Claude 4.1 Opus
Provider OpenAI Anthropic
Model type Text Text
Context window 1.05M tokens 1M tokens
Input price $2 / 1M tokens $15 / 1M tokens
Output price $8 / 1M tokens $75 / 1M tokens
Status Superseded by GPT-5.1 Superseded by Claude 4.5 Opus
Key differences

How GPT-4.1 and Claude 4.1 Opus differ

What the numbers mean in practice when choosing between GPT-4.1 and Claude 4.1 Opus.

  • GPT-4.1 is 87% cheaper on input tokens ($2 vs $15 per million), which adds up quickly in document-heavy workloads.

  • GPT-4.1 is 89% cheaper on output tokens ($8 vs $75 per million) - the bigger factor for tools that generate long documents.

  • Context windows are close: GPT-4.1 handles 1.05M tokens and Claude 4.1 Opus handles 1M tokens.

  • GPT-4.1 has been superseded by GPT-5.1 - for new builds, consider the newer model first.

  • Claude 4.1 Opus has been superseded by Claude 4.5 Opus - for new builds, consider the newer model first.

Strengths side by side

Where each model shines, according to benchmarks and provider positioning.

GPT-4.1

1. Smartest non-reasoning model

  • Highest intelligence among models without a reasoning step.
  • Great for tasks where speed + accuracy matter without deep chain-of-thought.

2. Excellent instruction following

  • Very strong at structured tasks, formatting, and precise execution.
  • Ideal for productized workflows and deterministic outputs.

3. Reliable tool calling

  • Works smoothly with Web Search, File Search, Image Generation, and Code Interpreter.
  • Supports MCP and advanced tool-enabled API flows.

4. Large 1M-token context window

  • Allows extremely long conversations, large documents, and multi-file use cases.
  • Handles context-heavy tasks without requiring chunking.

5. Low latency (no reasoning step)

  • Faster responses than GPT-5 family when reasoning mode isn't required.
  • More predictable timing for production use.

6. Multimodal input

  • Accepts text + image.
  • Output is text only.

7. Supports fine-tuning

  • Can be fine-tuned for specialized tasks.
  • Also supports distillation for smaller custom models.

Claude 4.1 Opus

1. Advanced Coding Performance

  • Achieves 74.5% on SWE-bench Verified, improving the Claude family's state-of-the-art coding abilities.

  • Stronger at:

    • Multi-file code refactoring
    • Large codebase debugging
    • Pinpointing exact corrections without unnecessary edits
  • Outperforms Opus 4 and shows gains comparable to jumps seen in past major releases.

2. Improved Agentic & Research Capabilities

  • Better at maintaining detail accuracy in long research tasks.
  • Enhanced agentic search and step-by-step problem solving.
  • Performs reliably across complex multi-turn reasoning tasks.

3. Validated by Real-World Users

  • GitHub: Better multi-file refactoring and code adjustments.
  • Rakuten Group: High precision debugging with minimal collateral changes.
  • Windsurf: One standard deviation improvement on their junior dev benchmark - similar magnitude to Sonnet 3.7 → Sonnet 4.

4. Hybrid-Reasoning Benchmark Improvements

  • Improvements across TAU-bench, GPQA Diamond, MMMLU, MMMU, AIME (with extended thinking).
  • Stronger robustness in long-context reasoning tasks.
Appaca

Use GPT-4.1 or Claude 4.1 Opus - or both

Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-4.1 or Claude 4.1 Opus - connected to your real data and ready for your whole team. No code, no deployment.

Describe it, and it's built

Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT-4.1 or Claude 4.1 Opus. No code, no API keys, no deployment.

Switch models without rebuilding

Start on GPT-4.1, test the same tool on Claude 4.1 Opus, and keep whichever performs better - the rest of your app stays exactly as it is.

Automated for the whole team

Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.

Describe it, and it's built

Tell the Appaca agent what your team needs and it builds a working app powered by GPT-4.1 or Claude 4.1 Opus - connected to the tools you already use.

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FAQs

Is GPT-4.1 cheaper than Claude 4.1 Opus?

GPT-4.1 is generally cheaper: $2 input / $8 output per million tokens, versus $15 / $75 for Claude 4.1 Opus. Actual cost depends on how many tokens your workload reads and writes.

Which has the larger context window, GPT-4.1 or Claude 4.1 Opus?

GPT-4.1 has the larger context window at 1.05M tokens, compared to 1M tokens for Claude 4.1 Opus. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.

Should I use GPT-4.1 or Claude 4.1 Opus?

It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on GPT-4.1, test the same tool on Claude 4.1 Opus, and switch at any time without rebuilding anything.

Can I use GPT-4.1 and Claude 4.1 Opus without writing code?

Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT-4.1, Claude 4.1 Opus, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.

Build AI tools with GPT-4.1 or Claude 4.1 Opus

Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.