LLM ComparisonClaude 4.5 OpusGrok 3 Mini

Claude 4.5 Opus vs Grok 3 Mini

Compare Claude 4.5 Opus and Grok 3 Mini. Build AI products powered by either model on Appaca.

Model Comparison

FeatureClaude 4.5 OpusGrok 3 Mini
ProviderAnthropicxAI
Model Typetexttext
Context Window200,000 tokens131,072 tokens
Input Cost
$5.00/ 1M tokens
$0.30/ 1M tokens
Output Cost
$25.00/ 1M tokens
$0.50/ 1M tokens

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Strengths & Best Use Cases

Claude 4.5 Opus

Anthropic

1. Maximum capability with more practical pricing

  • Anthropic introduced Opus 4.5 as its most intelligent model, combining maximum capability with practical performance.
  • It was positioned as the best model in the world for coding, agents, and computer use at launch, with pricing reduced to $5/M input and $25/M output.

2. Step-change gains for coding and advanced agent work

  • Anthropic describes Opus 4.5 as state-of-the-art on real-world software engineering tests.
  • It also improved everyday knowledge-work tasks like deep research, slides, and spreadsheets while staying strong on long-horizon agent workflows.

3. Better control over reasoning depth

  • Opus 4.5 introduced the effort parameter, letting developers trade off response thoroughness against token efficiency.
  • This made it easier to use one flagship model across both high-depth analysis and more cost-sensitive production workloads.

4. Stronger computer use and continuity

  • Added enhanced computer use with a zoom action for inspecting detailed screen regions.
  • Preserves prior thinking blocks across turns, helping the model maintain reasoning continuity in extended multi-step tasks.

Grok 3 Mini

xAI

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.

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