💰 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 Opus 5.5 89.9% SWE-bench · 97.6% HumanEval
🧠 STEM Reasoning Winner Claude Opus 5.5 93.2% GPQA · 98% MATH-500

Which model is better: Claude Opus 5.5 or Grok 4?

Grok 4 is 37.5% cheaper for input tokens ($2.50 vs. $4.00 per 1M tokens) and $12.50 vs. $20.00 for output tokens (1.6x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (200ms faster than Claude Opus 5.5) with 95 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 73.2% for Grok 4 and 93.2% 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 Opus 5.5 Grok 4 Net Delta / Advantage
Input Cost / 1M Tokens $4.00 $2.50 Grok 4 is 1.6x cheaper
Output Cost / 1M Tokens $20.00 $12.50 Grok 4 (37.5% lower)
Prompt Cache Read / 1M $0.200 $0.500 Claude Opus 5.5 is 2.5x cheaper
Prompt Cache Write / 1M $5.00 $2.50 Grok 4 is 2.0x cheaper
Context Window (Max Output) 1,024k (128k out) 262k (66k out) Claude Opus 5.5 (3.9x larger context)
Avg TTFT Response Latency 680ms 480ms Grok 4 (200ms faster)
Generation Speed (Throughput) 95 tok/s 95 tok/s Equal Throughput
SWE-bench Verified (Coding) 89.9% 73.2% Claude Opus 5.5 (+16.7% lead)
GPQA Diamond (PhD STEM) 93.2% 86.2% Claude Opus 5.5 (+7.0% lead)
MMLU-Pro (Multi-Discipline) 92.1% 89.9% Claude Opus 5.5 (+2.2% lead)
MATH-500 (Quantitative Logic) 98% 97.6% Claude Opus 5.5 (+0.4% lead)
Inference Value Score (IVR) 57.8 / 100 57.6 / 100 Claude Opus 5.5 (+0.2 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 Opus 5.5 $152.50

$4.00/1M in · $20.00/1M out

Prompt Cache: $0.200/1M read · $5.00/1M 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
$52.50 / mo
(34.4% lower cost with Grok 4)
Open Full Matchup Analysis →
A

When to Choose Claude Opus 5.5

Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M 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 Opus 5.5 or Grok 4?

Grok 4 is cheaper at $2.50/1M input tokens ($12.50/1M output) compared to $4.00/1M input ($20.00/1M output) for Claude Opus 5.5.

Which model has lower TTFT latency and higher tok/s throughput: Claude Opus 5.5 or Grok 4?

Grok 4 delivers faster first-token latency at 480ms TTFT (95 tok/s throughput) compared to 680ms TTFT (95 tok/s) for Claude Opus 5.5.

How do Claude Opus 5.5 and Grok 4 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 73.2% for Grok 4. On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 86.2% for Grok 4 (and 98% vs 97.6% on MATH-500).

When should you choose Claude Opus 5.5?

Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M 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).

Explore High-Priority Related Model Matchups