💰 Unit Cost Winner Claude Opus 5.5 $4.00/1M in · $20.00/1M out
⚡ Latency & Speed Winner Claude Opus 5.5 680ms 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 o1?

Claude Opus 5.5 is 73.3% cheaper for input tokens ($4.00 vs. $15.00 per 1M tokens) and $20.00 vs. $60.00 for output tokens (3.8x cost advantage). In terms of operational performance, Claude Opus 5.5 delivers lower response latency at 680ms TTFT (1920ms faster than o1) with 95 vs. 48 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 48.9% for o1 and 93.2% vs. 78.0% 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 o1 Net Delta / Advantage
Input Cost / 1M Tokens $4.00 $15.00 Claude Opus 5.5 is 3.8x cheaper
Output Cost / 1M Tokens $20.00 $60.00 Claude Opus 5.5 (66.7% lower)
Prompt Cache Read / 1M $0.200 $7.500 Claude Opus 5.5 is 37.5x cheaper
Prompt Cache Write / 1M $5.00 $15.00 Claude Opus 5.5 is 3.0x cheaper
Context Window (Max Output) 1,024k (128k out) 205k (100k out) Claude Opus 5.5 (5.0x larger context)
Avg TTFT Response Latency 680ms 2600ms Claude Opus 5.5 (1920ms faster)
Generation Speed (Throughput) 95 tok/s 48 tok/s Claude Opus 5.5 (+47 tok/s faster)
SWE-bench Verified (Coding) 89.9% 48.9% Claude Opus 5.5 (+41.0% lead)
GPQA Diamond (PhD STEM) 93.2% 78% Claude Opus 5.5 (+15.2% lead)
MMLU-Pro (Multi-Discipline) 92.1% 83.3% Claude Opus 5.5 (+8.8% lead)
MATH-500 (Quantitative Logic) 98% 96.4% Claude Opus 5.5 (+1.6% lead)
Inference Value Score (IVR) 57.8 / 100 37.2 / 100 Claude Opus 5.5 (+20.6 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

o1 $581.25

$15.00/1M in · $60.00/1M out

Prompt Cache: $7.500/1M read · $15.00/1M write

Projected Monthly Cost Reduction
$428.75 / mo
(73.8% lower cost with Claude Opus 5.5)
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 o1

Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Claude Opus 5.5 or o1?

Claude Opus 5.5 is cheaper at $4.00/1M input tokens ($20.00/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.

Which model has lower TTFT latency and higher tok/s throughput: Claude Opus 5.5 or o1?

Claude Opus 5.5 delivers faster first-token latency at 680ms TTFT (95 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.

How do Claude Opus 5.5 and o1 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 78% for o1 (and 98% vs 96.4% 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 o1?

Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).

Explore High-Priority Related Model Matchups