| Signal | Claude Opus 4.6 | Delta | Grok 4.20 |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 87 | +1 | |
Pricing | 75 | -22 | |
Context window size | 86 | -4 | |
Recency | 100 | -- | |
Output Capacity | 85 | +65 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
90
current score
Claude Opus 4.6
right now
88.3
current score
Anthropic
xAI
Grok 4.20 saves you $1500.00/month
That's $18000.00/year compared to Claude Opus 4.6 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4.6 | Grok 4.20 | Winner |
|---|---|---|---|
| Overall Score | 90 | 88 | Claude Opus 4.6 |
| Rank | #13 | #14 | Claude Opus 4.6 |
| Quality Rank | #13 | #14 | Claude Opus 4.6 |
| Adoption Rank | #13 | #14 | Claude Opus 4.6 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 2000K | Grok 4.20 |
| Pricing | $5.00/$25.00/M | $1.25/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Opus 4.6 |
| Benchmarks | 87 | 86 | Claude Opus 4.6 |
| Pricing | 75 | 98 | Grok 4.20 |
| Context window size | 86 | 90 | Grok 4.20 |
| Recency | 100 | 100 | Claude Opus 4.6 |
| Output Capacity | 85 | 20 | Claude Opus 4.6 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 90/100 (rank #13), placing it in the top 96% of all 290 models tracked.
Scores 88/100 (rank #14), placing it in the top 96% of all 290 models tracked.
With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Grok 4.20 offers 88% better value per quality point. At 1M tokens/day, you'd spend $56.25/month with Grok 4.20 vs $450.00/month with Claude Opus 4.6 - a $393.75 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Grok 4.20 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (2000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (90/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Claude Opus 4.6 and Grok 4.20 are extremely close in overall performance (only 1.7000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude Opus 4.6
Marginally better benchmark scores; both are excellent
Best for Cost
Grok 4.20
88% lower pricing; better value at scale
Best for Reliability
Claude Opus 4.6
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4.6
Stronger community support and better developer experience
Best for Production
Claude Opus 4.6
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4.6 | Grok 4.20 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
xAI
Grok 4.20 saves you $33.75/month
That's 87% cheaper than Claude Opus 4.6 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Claude Opus 4.6 | Grok 4.20 |
|---|---|---|
| Context Window | 1M | 2M |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | No |
| Created | Feb 4, 2026 | Mar 31, 2026 |
Grok 4.20's architecture appears optimized specifically for code generation tasks, ranking #3 overall versus Claude's #7, while maintaining lower operational costs at $6/M output tokens. The 8-point performance gap suggests xAI has made different engineering tradeoffs focused purely on coding performance rather than general-purpose capabilities.
With 2M output tokens monthly, you'd pay $50,000/year with Claude Opus 4.6 versus $12,000/year with Grok 4.20, saving $38,000 annually. The 4.2x price difference in output tokens makes Grok particularly cost-effective for code generation workloads where output often exceeds input length.
Grok's 2x larger context enables analyzing entire large codebases (500K+ lines) in single prompts, while Claude would require chunking the same analysis across multiple calls. This matters for enterprise refactoring tasks where understanding cross-file dependencies is critical, though Claude's explicit 128K output limit provides more predictable generation boundaries.
Anthropic's established enterprise contracts and longer market presence may justify the premium for risk-averse organizations, especially given Claude's explicit 128K token output guarantee versus Grok's undefined maximum. The $20/M output price differential becomes negligible for low-volume, high-stakes applications where provider stability matters more than the 8-point performance gap.
Grok 4.20's native file support allows direct processing of zip archives, tarballs, and binary formats without base64 encoding overhead, effectively extending its 2M context window even further. This architectural difference, combined with the 74/100 performance score, suggests xAI optimized specifically for real-world development workflows rather than benchmark scenarios.