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Claude Opus 4.6 vs Grok 4.20

Claude Opus 4.6

Anthropic

90#15
vs
Grok 4.20

xAI

88#16
Signal-by-Signal Comparison
SignalClaude Opus 4.6DeltaGrok 4.20
Capabilities
100
--
100
Benchmarks
87
+1
86
Pricing
75
-22
98
Context window size
86
-4
90
Recency
100
--
100
Output Capacity
85
+65
20
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (21 data points)
Claude Opus 4.6Grok 4.20
Claude Opus 4.6

90

current score

Leader

Claude Opus 4.6

right now

Grok 4.20

88.3

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Claude Opus 4.6

Anthropic

Per request$0.017500
Daily$58.33
Monthly$1750.00
Annual$21000.00

Grok 4.20

xAI

Best Value
Per request$0.002500
Daily$8.33
Monthly$250.00
Annual$3000.00

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.

86% cheaper
Choose Grok 4.20 for cost optimization

Claude Opus 4.6 pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
Grok 4.20 pricing:
Input:$1.25/M tokens
Output:$2.50/M tokens
Winner
Claude Opus 4.6

Anthropic

90

Composite Score

Grok 4.20

xAI

88

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.6Grok 4.20Winner
Overall Score
90
88
Claude Opus 4.6
Rank#15#16
Claude Opus 4.6
Quality Rank#15#16
Claude Opus 4.6
Adoption Rank#15#16
Claude Opus 4.6
Parameters------
Context Window1000K2000K
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
Benchmark Head-to-Head(13 benchmarks)
Claude Opus: 8Grok 4.20: 3
Claude Opus
Grok 4.20
Normalized 0-100%
MMLU
92.1%91.5%
MMLU-Pro
82.5%83.5%
GPQA Diamond
88.4%82%
MATH-500
90.5%95%
HumanEval
96%95.5%
SWE-bench Verified
83.7%70%
AIME 2024
78%88%
IFEval
92.8%91%
BBH
91.5%90%
Arena Elo
15031462
LiveBench
78.5%73%
HLE
38.2%-
BigCodeBench
72.1%-
Benchmark Interpretation

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.

Claude Opus 4.6Elite Tier

Scores 90/100 (rank #15), placing it in the top 95% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Grok 4.20Elite Tier

Scores 88/100 (rank #16), placing it in the top 95% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

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.

When to Use Each Model

Choose Claude Opus 4.6 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose Grok 4.20 when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (2000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Opus 4.6
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.333
Est. monthly (1M tokens/day)$450.00
Grok 4.20Best Value
Input cost$1.25/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.042
Est. monthly (1M tokens/day)$56.25

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.

Latency & Speed
Claude Opus 4.6Faster
Speed score0/100
Grok 4.20
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Claude Opus 4.6

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

Claude Opus 4.6

Long document analysis

Larger context window (2000K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.20

Batch data extraction

Lower output pricing ($2.50/M) reduces costs when processing thousands of records daily

Grok 4.20

Creative writing & content

Higher overall composite score (90/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.6

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Claude Opus 4.6
Which Should You Choose?
Our recommendation:
Claude Opus 4.6

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.

Claude Opus 4.6
Recommended

by Anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by xAI

  • Choose for Cost - 88% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.6Grok 4.20
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Opus 4.6

Anthropic

$39.00
estimated monthly cost

Grok 4.20

xAI

Best Value
$5.25
estimated monthly cost

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.

Parameters & Context
ParameterClaude Opus 4.6Grok 4.20
Context Window1M2M
Max Output Tokens128,000--
Open SourceNoNo
CreatedFeb 4, 2026Mar 31, 2026
Frequently Asked Questions

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.

Last updated: 11m ago

相关对比

Claude Opus 4.6 vs Grok 4.20 (2026) | LM Market Cap