Claude 4.1 Opus vs Grok 3 Mini
Compare pricing, context windows, and strengths for Claude 4.1 Opus by Anthropic and Grok 3 Mini by xAI - and see how to put either to work in Appaca.
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 OpusGrok 3 Mini
A lightweight reasoning model that is fast, efficient, and ideal for logic-heavy tasks without deep domain requirements.
View Grok 3 MiniClaude 4.1 Opus vs Grok 3 Mini at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Claude 4.1 Opus | Grok 3 Mini |
|---|---|---|
| Provider | Anthropic | xAI |
| Model type | Text | Text |
| Context window | 1M tokens | 131.1K tokens |
| Input price | $15 / 1M tokens | $0.3 / 1M tokens |
| Output price | $75 / 1M tokens | $0.5 / 1M tokens |
| Status | Superseded by Claude 4.5 Opus | Current |
How Claude 4.1 Opus and Grok 3 Mini differ
What the numbers mean in practice when choosing between Claude 4.1 Opus and Grok 3 Mini.
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Grok 3 Mini is 98% cheaper on input tokens ($0.3 vs $15 per million), which adds up quickly in document-heavy workloads.
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Grok 3 Mini is 99% cheaper on output tokens ($0.5 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 7.6x larger than Grok 3 Mini's 131.1K 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Claude 4.1 Opus has been superseded by Claude 4.5 Opus - for new builds, consider the newer model first.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 4.1 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.
Grok 3 Mini
1. Lightweight but thoughtful reasoning
- Designed to 'think before responding' with accessible raw thought traces.
- Excellent for logic puzzles, lightweight reasoning, and systematic tasks.
2. Extremely cost-efficient
- Only $0.30 per 1M input tokens and $0.50 per 1M output tokens.
- Cached token support lowers cost to $0.075 per 1M tokens.
3. Fast and responsive
- Optimized for low-latency applications and high-throughput use cases.
- Suitable for chatbots, assistants, and automation flows.
4. Supports modern developer features
- Function calling for tool-augmented workflows.
- Structured outputs for schema-controlled responses.
- Integrates cleanly with agents and pipelines.
5. Large 131K context window
- Can understand and work with long documents, transcripts, or multi-turn sessions.
6. Great for non-domain-heavy tasks
- Useful for summarization, rewriting, extraction, everyday reasoning, and app logic.
- Does not require domain expertise to operate effectively.
7. Compatible with enterprise infrastructure
- Stable rate limits: 480 requests per minute.
- Same API structure as all Grok 3 models.
8. Optional Live Search support
- $25 per 1K sources for real-time search augmentation.
Use Claude 4.1 Opus or Grok 3 Mini - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Claude 4.1 Opus or Grok 3 Mini - 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 4.1 Opus or Grok 3 Mini. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Claude 4.1 Opus, test the same tool on Grok 3 Mini, 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 4.1 Opus or Grok 3 Mini - connected to the tools you already use.
Related comparisons
See how Claude 4.1 Opus and Grok 3 Mini stack up against other models in the directory.
FAQs
Grok 3 Mini is generally cheaper: $0.3 input / $0.5 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 131.1K tokens for Grok 3 Mini. 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 4.1 Opus, test the same tool on Grok 3 Mini, 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 4.1 Opus, Grok 3 Mini, 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 4.1 Opus or Grok 3 Mini
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.