💰 Unit Cost Winner Grok 4 $2.50/1M in · $12.50/1M out
⚡ Latency & Speed Winner Grok 4 480ms TTFT · 95 tok/s
💻 Coding (SWE) Winner Claude 4 Opus 77.2% SWE-bench · 96.8% HumanEval
🧠 STEM Reasoning Winner Claude 4 Opus 87.1% GPQA · 98.1% MATH-500

Which model is better: Claude 4 Opus or Grok 4?

Grok 4 is 83.3% cheaper for input tokens ($2.50 vs. $15.00 per 1M tokens) and $12.50 vs. $75.00 for output tokens (6.0x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (440ms faster than Claude 4 Opus) with 95 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 73.2% for Grok 4 and 87.1% vs. 86.2% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta (12 Dimensions)

Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.

Metric / Dimension Claude 4 Opus Grok 4 Net Delta / Advantage
Input Cost / 1M Tokens $15.00 $2.50 Grok 4 is 6.0x cheaper
Output Cost / 1M Tokens $75.00 $12.50 Grok 4 (83.3% lower)
Prompt Cache Read / 1M $1.500 $0.500 Grok 4 is 3.0x cheaper
Prompt Cache Write / 1M $18.75 $2.50 Grok 4 is 7.5x cheaper
Context Window (Max Output) 205k (64k out) 262k (66k out) Grok 4 (1.3x larger context)
Avg TTFT Response Latency 920ms 480ms Grok 4 (440ms faster)
Generation Speed (Throughput) 46 tok/s 95 tok/s Grok 4 (+49 tok/s faster)
SWE-bench Verified (Coding) 77.2% 73.2% Claude 4 Opus (+4.0% lead)
GPQA Diamond (PhD STEM) 87.1% 86.2% Claude 4 Opus (+0.9% lead)
MMLU-Pro (Multi-Discipline) 91.8% 89.9% Claude 4 Opus (+1.9% lead)
MATH-500 (Quantitative Logic) 98.1% 97.6% Claude 4 Opus (+0.5% lead)
Inference Value Score (IVR) 43.6 / 100 57.6 / 100 Grok 4 (+14 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Claude 4 Opus $581.25

$15.00/1M in · $75.00/1M out

Prompt Cache: $1.500/1M read · $18.75/1M write

Grok 4 $100.00

$2.50/1M in · $12.50/1M out

Prompt Cache: $0.500/1M read · $2.50/1M write

Projected Monthly Cost Reduction
$481.25 / mo
(82.8% lower cost with Grok 4)
Open Full Matchup Analysis →
A

When to Choose Claude 4 Opus

Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).

B

When to Choose Grok 4

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Claude 4 Opus or Grok 4?

Grok 4 is cheaper at $2.50/1M input tokens ($12.50/1M output) compared to $15.00/1M input ($75.00/1M output) for Claude 4 Opus.

Which model has lower TTFT latency and higher tok/s throughput: Claude 4 Opus or Grok 4?

Grok 4 delivers faster first-token latency at 480ms TTFT (95 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.

How do Claude 4 Opus and Grok 4 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 73.2% for Grok 4. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 86.2% for Grok 4 (and 98.1% vs 97.6% on MATH-500).

When should you choose Claude 4 Opus?

Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M cached reads).

When should you choose Grok 4?

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

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