💰 Unit Cost Winner GPT-4o $2.50/1M in · $10.00/1M out
⚡ Latency & Speed Winner GPT-4o 280ms TTFT · 100 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 GPT-4o?

GPT-4o is 37.5% cheaper for input tokens ($2.50 vs. $4.00 per 1M tokens) and $10.00 vs. $20.00 for output tokens (1.6x cost advantage). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (400ms faster than Claude Opus 5.5) with 100 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 48.0% for GPT-4o and 93.2% vs. 53.6% 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 GPT-4o Net Delta / Advantage
Input Cost / 1M Tokens $4.00 $2.50 GPT-4o is 1.6x cheaper
Output Cost / 1M Tokens $20.00 $10.00 GPT-4o (50.0% lower)
Prompt Cache Read / 1M $0.200 $1.250 Claude Opus 5.5 is 6.3x cheaper
Prompt Cache Write / 1M $5.00 $2.50 GPT-4o is 2.0x cheaper
Context Window (Max Output) 1,024k (128k out) 131k (16k out) Claude Opus 5.5 (7.8x larger context)
Avg TTFT Response Latency 680ms 280ms GPT-4o (400ms faster)
Generation Speed (Throughput) 95 tok/s 100 tok/s GPT-4o (+5 tok/s faster)
SWE-bench Verified (Coding) 89.9% 48% Claude Opus 5.5 (+41.9% lead)
GPQA Diamond (PhD STEM) 93.2% 53.6% Claude Opus 5.5 (+39.6% lead)
MMLU-Pro (Multi-Discipline) 92.1% 75.9% Claude Opus 5.5 (+16.2% lead)
MATH-500 (Quantitative Logic) 98% 76.6% Claude Opus 5.5 (+21.4% lead)
Inference Value Score (IVR) 57.8 / 100 47.6 / 100 Claude Opus 5.5 (+10.2 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

GPT-4o $96.88

$2.50/1M in · $10.00/1M out

Prompt Cache: $1.250/1M read · $2.50/1M write

Projected Monthly Cost Reduction
$55.63 / mo
(36.5% lower cost with GPT-4o)
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 GPT-4o

Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Claude Opus 5.5 or GPT-4o?

GPT-4o is cheaper at $2.50/1M input tokens ($10.00/1M 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 GPT-4o?

GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 680ms TTFT (95 tok/s) for Claude Opus 5.5.

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

On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 53.6% for GPT-4o (and 98% vs 76.6% 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 GPT-4o?

Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).

Explore High-Priority Related Model Matchups