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GPT-5.4 vs Claude 5 Sonnet

Compare pricing, context windows, and strengths for GPT-5.4 by OpenAI and Claude 5 Sonnet by Anthropic - and see how to put either to work in Appaca.

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GPT-5.4

OpenAI's frontier model for complex professional work with best intelligence at scale for agentic, coding, and professional workflows.

View GPT-5.4
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Claude 5 Sonnet

Anthropic's most agentic Sonnet yet, closing much of the gap to Opus 4.8 on reasoning, coding, and tool use while staying at Sonnet's speed and price.

View Claude 5 Sonnet

GPT-5.4 vs Claude 5 Sonnet at a glance

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

Spec GPT-5.4 Claude 5 Sonnet
Provider OpenAI Anthropic
Model type Text Text
Context window 1.05M tokens 1M tokens
Input price $2.5 / 1M tokens $3 / 1M tokens
Output price $15 / 1M tokens $15 / 1M tokens
Status Current Current
Key differences

How GPT-5.4 and Claude 5 Sonnet differ

What the numbers mean in practice when choosing between GPT-5.4 and Claude 5 Sonnet.

  • GPT-5.4 is 17% cheaper on input tokens ($2.5 vs $3 per million), which adds up quickly in document-heavy workloads.

  • Context windows are close: GPT-5.4 handles 1.05M tokens and Claude 5 Sonnet handles 1M tokens.

Strengths side by side

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

GPT-5.4

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.

Claude 5 Sonnet

1. Anthropic's most agentic Sonnet yet

  • A substantial upgrade over Sonnet 4.6 on reasoning, tool use, coding, and knowledge work - narrows the gap to Opus 4.8 while staying at Sonnet pricing.
  • Early partners describe it finishing multi-step jobs end to end where prior Sonnet models used to stall halfway.

2. Clear benchmark gains over Sonnet 4.6

  • 63.2% on SWE-bench Pro (vs 58.1%), 80.4% on Terminal-Bench 2.1 (vs 67.0%), 81.2% on OSWorld-Verified (vs 78.5%), and 57.4% on Humanity's Last Exam with tools (vs 46.8%).
  • On the GDPval-AA v2 knowledge-work benchmark it edges past Opus 4.8 (1,618 vs 1,615).

3. Near-Opus performance at a fraction of the price

  • Priced at $3/M input and $15/M output - 40% cheaper than Opus 4.8's $5/$25 - with introductory pricing of $2/$10 through Aug 31, 2026 during the rollout.
  • Supports low, medium, high, and xhigh effort levels, covering a wider cost-performance range than Sonnet 4.6 and matching Opus 4.8 on some tasks at higher effort.

4. Long-context, long-horizon reliability

  • Full 1M token context window with up to 128K output tokens.
  • Adaptive thinking automatically decides how long to reason; better self-correction, fewer tool errors, and steadier follow-through across long agent sessions in Claude Code and Cowork.

5. Safer and more honest than its predecessor

  • Lower rates of hallucination, sycophancy, and misaligned behavior than Sonnet 4.6 on Anthropic's automated safety audits.
  • Deliberately limited cyber capability compared with Opus-class models, shipped with cyber safeguards enabled by default.

6. Updated tokenizer

  • Uses a new tokenizer (shared with the Opus 4.7/4.8 line) that can map the same text to up to 1.35x more tokens than Sonnet 4.6 - introductory pricing is set so the switch is roughly cost-neutral.
Appaca

Use GPT-5.4 or Claude 5 Sonnet - or both

Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.4 or Claude 5 Sonnet - 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-5.4 or Claude 5 Sonnet. No code, no API keys, no deployment.

Switch models without rebuilding

Start on GPT-5.4, test the same tool on Claude 5 Sonnet, 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-5.4 or Claude 5 Sonnet - connected to the tools you already use.

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FAQs

Is GPT-5.4 cheaper than Claude 5 Sonnet?

GPT-5.4 is generally cheaper: $2.5 input / $15 output per million tokens, versus $3 / $15 for Claude 5 Sonnet. Actual cost depends on how many tokens your workload reads and writes.

Which has the larger context window, GPT-5.4 or Claude 5 Sonnet?

GPT-5.4 has the larger context window at 1.05M tokens, compared to 1M tokens for Claude 5 Sonnet. 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-5.4 or Claude 5 Sonnet?

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-5.4, test the same tool on Claude 5 Sonnet, and switch at any time without rebuilding anything.

Can I use GPT-5.4 and Claude 5 Sonnet 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-5.4, Claude 5 Sonnet, 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-5.4 or Claude 5 Sonnet

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.