GPT-4 Turbo vs Claude 3.5 Haiku
Compare pricing, context windows, and strengths for GPT-4 Turbo by OpenAI and Claude 3.5 Haiku by Anthropic - and see how to put either to work in Appaca.
GPT-4 Turbo
Older high-intelligence GPT-4 generation model offering strong reasoning and image input support, now superseded by newer 4o-based models.
View GPT-4 TurboClaude 3.5 Haiku
A fast, affordable model matching Claude 3 Opus on many tasks while delivering major improvements in coding, accuracy, and tool use.
View Claude 3.5 HaikuGPT-4 Turbo vs Claude 3.5 Haiku at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-4 Turbo | Claude 3.5 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model type | Text | Text |
| Context window | 128K tokens | 200K tokens |
| Input price | $10 / 1M tokens | $0.8 / 1M tokens |
| Output price | $30 / 1M tokens | $4 / 1M tokens |
| Status | Current | Superseded by Claude 4.5 Haiku |
How GPT-4 Turbo and Claude 3.5 Haiku differ
What the numbers mean in practice when choosing between GPT-4 Turbo and Claude 3.5 Haiku.
-
Claude 3.5 Haiku is 92% cheaper on input tokens ($0.8 vs $10 per million), which adds up quickly in document-heavy workloads.
-
Claude 3.5 Haiku is 87% cheaper on output tokens ($4 vs $30 per million) - the bigger factor for tools that generate long documents.
-
Claude 3.5 Haiku's 200K tokens context window is roughly 1.6x larger than GPT-4 Turbo's 128K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
-
Claude 3.5 Haiku has been superseded by Claude 4.5 Haiku - for new builds, consider the newer model first.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-4 Turbo
1. Strong reasoning for its generation
- Next-gen version of GPT-4 designed to be cheaper and faster than the original.
- Good for analytical tasks, structured writing, coding guidance, and multi-step reasoning.
2. Image input support
- Accepts images and provides text-only outputs.
- Useful for OCR, visual Q&A, document extraction, UI analysis, and design interpretation.
3. Stable performance
- Predictable model behavior suitable for legacy systems still built on GPT-4.
- Works reliably for established pipelines and enterprise workloads.
4. Large 128K context window
- Handles long documents, multi-file inputs, or extended conversational sessions.
- Allows complex prompt chaining and large instruction sets.
5. Broad endpoint compatibility
- Works with Chat Completions, Responses API, Realtime API, Assistants, Batch, Fine-tuning, Embeddings, and more.
- Supports streaming and function calling.
6. Good choice for cost-controlled GPT-4-class workloads
- Although older, still useful for teams who want GPT-4-level reasoning without upgrading immediately.
- A midpoint between legacy GPT-4 and modern GPT-4o/5.1 models.
7. Text-only output simplifies downstream use
- Ensures deterministic outputs for applications that need reliable text generation.
- Good for RAG, data pipelines, automation tools, and enterprise systems.
8. Recommended migration path
- OpenAI now recommends using GPT-4o or GPT-5.1 for improved speed, cost, reasoning, and multimodal capability.
- GPT-4 Turbo remains available for backward compatibility and stability.
Claude 3.5 Haiku
1. Intelligence & Benchmark Performance
- Matches Claude 3 Opus (previous largest model) on many intelligence tasks.
- Surpasses Claude 3 Opus on multiple evaluations despite being a smaller, faster model.
- Major improvements across every skill category vs previous Haiku.
2. Coding Strength
Scores 40.6% on SWE-bench Verified, outperforming:
- Claude 3.5 Sonnet (original version)
- GPT-4o
- Many agent-driven systems
Excellent for engineering assistants, agent coding tasks, and bug fixing.
3. Speed & Latency
- Same speed class as Claude 3 Haiku (ultra-fast).
- Ideal for real-time interactions, high request volumes, and UI responsiveness.
4. Tool Use & Instruction Following
- Better at following instructions than previous Haiku.
- Stronger at tool use accuracy, making it reliable for agents and workflows.
5. Best Use Cases
- High-volume, low-latency tasks
- User-facing products
- Sub-agent tasks in larger workflows
- Processing large structured datasets (pricing, inventory, purchase history)
- Rapid content or code generation where speed matters
Use GPT-4 Turbo or Claude 3.5 Haiku - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-4 Turbo or Claude 3.5 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-4 Turbo or Claude 3.5 Haiku. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-4 Turbo, test the same tool on Claude 3.5 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-4 Turbo or Claude 3.5 Haiku - connected to the tools you already use.
Related comparisons
See how GPT-4 Turbo and Claude 3.5 Haiku stack up against other models in the directory.
FAQs
Claude 3.5 Haiku is generally cheaper: $0.8 input / $4 output per million tokens, versus $10 / $30 for GPT-4 Turbo. Actual cost depends on how many tokens your workload reads and writes.
Claude 3.5 Haiku has the larger context window at 200K tokens, compared to 128K tokens for GPT-4 Turbo. 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-4 Turbo, test the same tool on Claude 3.5 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-4 Turbo, Claude 3.5 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-4 Turbo or Claude 3.5 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.