Claude 4.5 Haiku vs Claude 4.1 Opus
Compare pricing, context windows, and strengths for Claude 4.5 Haiku by Anthropic and Claude 4.1 Opus by Anthropic - and see how to put either to work in Appaca.
Claude 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 HaikuClaude 4.1 Opus
A refined flagship model with improved coding, reasoning, research depth, and agentic task performance over Opus 4.
View Claude 4.1 OpusClaude 4.5 Haiku vs Claude 4.1 Opus at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Claude 4.5 Haiku | Claude 4.1 Opus |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Model type | Text | Text |
| Context window | 200K tokens | 1M tokens |
| Input price | $1 / 1M tokens | $15 / 1M tokens |
| Output price | $5 / 1M tokens | $75 / 1M tokens |
| Status | Current | Superseded by Claude 4.5 Opus |
How Claude 4.5 Haiku and Claude 4.1 Opus differ
What the numbers mean in practice when choosing between Claude 4.5 Haiku and Claude 4.1 Opus.
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Claude 4.5 Haiku is 93% cheaper on input tokens ($1 vs $15 per million), which adds up quickly in document-heavy workloads.
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Claude 4.5 Haiku is 93% cheaper on output tokens ($5 vs $75 per million) - the bigger factor for tools that generate long documents.
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Claude 4.1 Opus's 1M tokens context window is roughly 5x larger than Claude 4.5 Haiku's 200K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
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Claude 4.1 Opus has been superseded by Claude 4.5 Opus - for new builds, consider the newer model first.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.
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).
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.
Use Claude 4.5 Haiku or Claude 4.1 Opus - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Claude 4.5 Haiku 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 Claude 4.5 Haiku or Claude 4.1 Opus. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Claude 4.5 Haiku, 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 Claude 4.5 Haiku or Claude 4.1 Opus - connected to the tools you already use.
Related comparisons
See how Claude 4.5 Haiku and Claude 4.1 Opus stack up against other models in the directory.
FAQs
Claude 4.5 Haiku is generally cheaper: $1 input / $5 output per million tokens, versus $15 / $75 for Claude 4.1 Opus. Actual cost depends on how many tokens your workload reads and writes.
Claude 4.1 Opus has the larger context window at 1M 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 Claude 4.5 Haiku, test the same tool on Claude 4.1 Opus, 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 Claude 4.5 Haiku, 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 Claude 4.5 Haiku 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.