💰 Unit Cost Winner Grok 3 $3.00/1M in · $15.00/1M out
⚡ Latency & Speed Winner Grok 3 620ms TTFT · 88 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 3?

Grok 3 is 25.0% cheaper for input tokens ($3.00 vs. $4.00 per 1M tokens) and $15.00 vs. $20.00 for output tokens (1.3x cost advantage). In terms of operational performance, Grok 3 delivers lower response latency at 620ms TTFT (60ms faster than Claude Opus 5.5) with 88 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 65.8% for Grok 3 and 93.2% vs. 84.6% 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 3 Net Delta / Advantage
Input Cost / 1M Tokens $4.00 $3.00 Grok 3 is 1.3x cheaper
Output Cost / 1M Tokens $20.00 $15.00 Grok 3 (25.0% lower)
Prompt Cache Read / 1M $0.200 $0.750 Claude Opus 5.5 is 3.8x cheaper
Prompt Cache Write / 1M $5.00 $3.00 Grok 3 is 1.7x cheaper
Context Window (Max Output) 1,024k (128k out) 134k (16k out) Claude Opus 5.5 (7.6x larger context)
Avg TTFT Response Latency 680ms 620ms Grok 3 (60ms faster)
Generation Speed (Throughput) 95 tok/s 88 tok/s Claude Opus 5.5 (+7 tok/s faster)
SWE-bench Verified (Coding) 89.9% 65.8% Claude Opus 5.5 (+24.1% lead)
GPQA Diamond (PhD STEM) 93.2% 84.6% Claude Opus 5.5 (+8.6% lead)
MMLU-Pro (Multi-Discipline) 92.1% 80% Claude Opus 5.5 (+12.1% lead)
MATH-500 (Quantitative Logic) 98% 89.8% Claude Opus 5.5 (+8.2% lead)
Inference Value Score (IVR) 57.8 / 100 52.7 / 100 Claude Opus 5.5 (+5.1 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 3 $121.88

$3.00/1M in · $15.00/1M out

Prompt Cache: $0.750/1M read · $3.00/1M write

Projected Monthly Cost Reduction
$30.63 / mo
(20.1% lower cost with Grok 3)
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 3

Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Claude Opus 5.5 or Grok 3?

Grok 3 is cheaper at $3.00/1M input tokens ($15.00/1M 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 3?

Grok 3 delivers faster first-token latency at 620ms TTFT (88 tok/s throughput) compared to 680ms TTFT (95 tok/s) for Claude Opus 5.5.

How do Claude Opus 5.5 and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 84.6% for Grok 3 (and 98% vs 89.8% 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 3?

Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).

Explore High-Priority Related Model Matchups