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Claude Opus 4.7 vs Grok 4.20

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4.7 and Grok 4.20.

Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

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xAI

Grok 4.20

Grok 4.20 is xAI's most advanced reasoning model, combining powerful analytical capabilities with unique real-time integration to the X (formerly Twitter) platform data stream. This live data access allows Grok 4.20 to answer queries with up-to-the-minute context, making it invaluable for financial analysis, current events research, and real-time market monitoring. Exceptionally strong in physics, advanced mathematics, and code synthesis, it operates with a 2-million-token context window and is priced at $1.25/MTok for input โ€” delivering frontier-tier reasoning at a highly competitive cost for developers building intelligent agents and analytical tools.

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Technical Specifications

SpecificationClaude Opus 4.7Grok 4.20
ProviderAnthropicxAI
Context Window1,000,000 tokens2,000,000 tokens
Agent Suitability96/10090/100
Time to First Token (TTFT)480 ms350 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162026-05-05

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Grok 4.20

$1.25

Output Price per Million Tokens

Claude Opus 4.7

$25.00

Grok 4.20

$2.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9410.0%vs9470.0%
Claude Opus 4.7
Grok 4.20
HumanEvalPython coding & logic synthesis
9610.0%vs9700.0%
Claude Opus 4.7
Grok 4.20
MATHComplex mathematical problem solving
9150.0%vs9380.0%
Claude Opus 4.7
Grok 4.20
GPQAGraduate-level expert reasoning
8420.0%vs8490.0%
Claude Opus 4.7
Grok 4.20
HellaSwagCommonsense reasoning and inference
9880.0%vs9880.0%
Claude Opus 4.7
Grok 4.20
MT-BenchMulti-turn conversation flow quality
975.0%vs970.0%
Claude Opus 4.7
Grok 4.20

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably

Grok 4.20 Quirks & Gotchas

  • โ–ธReal-time X data access โ€” unparalleled for current events / financial analysis
  • โ–ธTool calling API is still maturing โ€” test thoroughly for production agentic use