| Signal | Anthropic Claude Sonnet Latest | Delta | Grok 4.20 Multi-Agent |
|---|---|---|---|
Capabilities | 100 | +17 | |
Pricing | 85 | -9 | |
Context window size | 86 | -4 | |
Recency | 100 | -- | |
Output Capacity | 85 | +65 | |
Benchmarks | 0 | -86 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
40
current score
Grok 4.20 Multi-Agent
right now
87.4
current score
~anthropic
xAI
Grok 4.20 Multi-Agent saves you $550.00/month
That's $6600.00/year compared to Anthropic Claude Sonnet Latest at your current usage level of 100K calls/month.
| Metric | Anthropic Claude Sonnet Latest | Grok 4.20 Multi-Agent | Winner |
|---|---|---|---|
| Overall Score | 40 | 87 | Grok 4.20 Multi-Agent |
| Rank | #191 | #18 | Grok 4.20 Multi-Agent |
| Quality Rank | #191 | #18 | Grok 4.20 Multi-Agent |
| Adoption Rank | #191 | #18 | Grok 4.20 Multi-Agent |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 2000K | Grok 4.20 Multi-Agent |
| Pricing | $3.00/$15.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Anthropic Claude Sonnet Latest |
| Pricing | 85 | 94 | Grok 4.20 Multi-Agent |
| Context window size | 86 | 90 | Grok 4.20 Multi-Agent |
| Recency | 100 | 100 | Anthropic Claude Sonnet Latest |
| Output Capacity | 85 | 20 | Anthropic Claude Sonnet Latest |
| Benchmarks | -- | 86 | Grok 4.20 Multi-Agent |
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 40/100 (rank #191), placing it in the top 34% of all 290 models tracked.
Scores 87/100 (rank #18), placing it in the top 94% of all 290 models tracked.
Grok 4.20 Multi-Agent has a 47-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Grok 4.20 Multi-Agent offers 56% better value per quality point. At 1M tokens/day, you'd spend $120.00/month with Grok 4.20 Multi-Agent vs $270.00/month with Anthropic Claude Sonnet Latest - a $150.00 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 Multi-Agent 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 ($6.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (87/100) 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
Grok 4.20 Multi-Agent clearly outperforms Anthropic Claude Sonnet Latest with a significant 47.400000000000006-point lead. For most general use cases, Grok 4.20 Multi-Agent is the stronger choice. However, Anthropic Claude Sonnet Latest may still excel in niche scenarios.
Best for Quality
Anthropic Claude Sonnet Latest
Marginally better benchmark scores; both are excellent
Best for Cost
Grok 4.20 Multi-Agent
56% lower pricing; better value at scale
Best for Reliability
Anthropic Claude Sonnet Latest
Higher uptime and faster response speeds
Best for Prototyping
Anthropic Claude Sonnet Latest
Stronger community support and better developer experience
Best for Production
Anthropic Claude Sonnet Latest
Wider enterprise adoption and proven at scale
by ~anthropic
| Capability | Anthropic Claude Sonnet Latest | Grok 4.20 Multi-Agent |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
~anthropic
xAI
Grok 4.20 Multi-Agent saves you $12.60/month
That's 54% cheaper than Anthropic Claude Sonnet Latest 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 | Anthropic Claude Sonnet Latest | Grok 4.20 Multi-Agent |
|---|---|---|
| Context Window | 1M | 2M |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | No |
| Created | Apr 27, 2026 | Mar 31, 2026 |
The narrow performance gap suggests both models hit diminishing returns on pure coding tasks, making Grok's pricing advantage significant for high-volume applications. However, Claude Sonnet's exclusive Function Calling capability enables native tool integration that Grok requires workarounds for, which may justify the premium for API-heavy codebases.
Grok's 2M context excels at analyzing entire codebases or multiple large files simultaneously, crucial for refactoring projects or dependency analysis. Claude's 128K output cap provides certainty for code generation tasks where Grok's unspecified output limit creates deployment uncertainty, particularly for documentation generation or large-scale code transformations.
Claude's Function Calling enables direct integration with IDEs and CI/CD pipelines without intermediate parsing layers, reducing implementation complexity for teams prioritizing development velocity. At $15/M output tokens, processing 1M tokens of generated code costs $15 with Claude versus $6 with Grok, making Claude viable only for lower-volume, high-precision tasks like API endpoint generation or critical path optimizations.
Grok's file input support allows direct processing of binary artifacts, compiled libraries, and non-text resources that Claude cannot handle, essential for full-stack development workflows. This architectural difference means Grok can analyze 2M tokens worth of mixed file types in a single call, while Claude requires preprocessing pipelines to convert everything to text or images first.
The $9/M output price difference ($15/M vs $6/M) translates to $9,000 saved per billion tokens generated, making Grok economically superior for code completion services at scale. Claude's combination of 128K guaranteed output and Function Calling provides architectural advantages for building autonomous coding agents that need predictable response sizes and native tool integration.