GPT-5.3 Codex vs Claude 4.5 Haiku
Compare pricing, context windows, and strengths for GPT-5.3 Codex by OpenAI and Claude 4.5 Haiku by Anthropic - and see how to put either to work in Appaca.
GPT-5.3 Codex
Most capable agentic coding model to date, optimized for long-horizon software engineering tasks with configurable reasoning and multimodal input.
View GPT-5.3 CodexClaude 4.5 Haiku
A fast, small model delivering near-frontier coding and computer-use performance at ultra-low cost with exceptional speed and strong safety.
View Claude 4.5 HaikuGPT-5.3 Codex vs Claude 4.5 Haiku at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-5.3 Codex | Claude 4.5 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model type | Text | Text |
| Context window | 400K tokens | 200K tokens |
| Input price | $1.75 / 1M tokens | $1 / 1M tokens |
| Output price | $14 / 1M tokens | $5 / 1M tokens |
| Status | Current | Current |
How GPT-5.3 Codex and Claude 4.5 Haiku differ
What the numbers mean in practice when choosing between GPT-5.3 Codex and Claude 4.5 Haiku.
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Claude 4.5 Haiku is 43% cheaper on input tokens ($1 vs $1.75 per million), which adds up quickly in document-heavy workloads.
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Claude 4.5 Haiku is 64% cheaper on output tokens ($5 vs $14 per million) - the bigger factor for tools that generate long documents.
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GPT-5.3 Codex's 400K tokens context window is roughly 2x larger than Claude 4.5 Haiku's 200K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-5.3 Codex
1. Strongest Codex Model for Agentic Engineering
- OpenAI positions GPT-5.3 Codex as its most capable agentic coding model to date.
- Built for long-horizon software engineering tasks that require planning, iteration, and reliable code transformation across files.
2. Configurable Reasoning + Multimodal Input
- Supports configurable reasoning effort from low to xhigh so teams can trade off depth against latency.
- Accepts both text and image inputs while producing text output.
3. Large Context for Real Codebases
- 400 k token context window helps it work across larger repositories, implementation plans, and supporting documentation.
- Allows up to 128 k output tokens for longer code generations, patches, and technical write-ups.
4. Current Knowledge for Modern Dev Workflows
- Knowledge cut-off of Aug 31 2025 keeps it aligned with newer frameworks, libraries, and tooling.
- Supports streaming, function calling, and structured outputs for agent-style coding workflows.
Claude 4.5 Haiku
1. Frontier-level coding at small-model speed
- Similar coding performance to Claude Sonnet 4 at one-third the cost.
- Runs 4-5x faster than Sonnet 4.5 for many tasks.
- Ideal for real-time pair programming, prototyping, and rapid iteration.
2. Excellent computer-use abilities
- Surpasses Claude Sonnet 4 in certain computer-control tasks.
- Great for agents requiring low-latency tool use (Chrome automation, coding agents, etc.).
3. Perfect for real-time, low-latency applications
- Chat assistants
- Customer support agents
- Interactive development loops
- Multi-agent orchestration
4. Works seamlessly with Sonnet 4.5 in hybrid agent setups
- Sonnet 4.5 plans complex workflows.
- Haiku 4.5 executes subtasks in parallel for speed and cost-efficiency.
5. High alignment & safest Claude model by metric
- Lower misaligned behavior rates than Haiku 3.5, Sonnet 4.5, and Opus 4.1.
- Limited CBRN risk → released under AI Safety Level 2 (ASL-2).
Use GPT-5.3 Codex or Claude 4.5 Haiku - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.3 Codex or Claude 4.5 Haiku - 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-5.3 Codex or Claude 4.5 Haiku. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-5.3 Codex, test the same tool on Claude 4.5 Haiku, 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-5.3 Codex or Claude 4.5 Haiku - connected to the tools you already use.
Related comparisons
See how GPT-5.3 Codex and Claude 4.5 Haiku stack up against other models in the directory.
FAQs
Claude 4.5 Haiku is generally cheaper: $1 input / $5 output per million tokens, versus $1.75 / $14 for GPT-5.3 Codex. Actual cost depends on how many tokens your workload reads and writes.
GPT-5.3 Codex has the larger context window at 400K tokens, compared to 200K tokens for Claude 4.5 Haiku. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
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-5.3 Codex, test the same tool on Claude 4.5 Haiku, and switch at any time without rebuilding anything.
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-5.3 Codex, Claude 4.5 Haiku, 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-5.3 Codex or Claude 4.5 Haiku
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.