Which model is better: Claude Opus 5.5 or DeepSeek V3?
DeepSeek V3 is 96.5% cheaper for input tokens ($0.14 vs. $4.00 per 1M tokens) and $0.28 vs. $20.00 for output tokens (28.6x cost advantage). In terms of operational performance, DeepSeek V3 delivers lower response latency at 410ms TTFT (270ms faster than Claude Opus 5.5) with 78 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 93.2% vs. 59.1% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
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
DeepSeek V3
Net Delta / Advantage
Input Cost / 1M Tokens
$4.00
$0.14
DeepSeek V3 is 28.6x cheaper
Output Cost / 1M Tokens
$20.00
$0.28
DeepSeek V3 (98.6% lower)
Prompt Cache Read / 1M
$0.200
$0.014
DeepSeek V3 is 14.3x cheaper
Prompt Cache Write / 1M
$5.00
$0.14
DeepSeek V3 is 35.7x cheaper
Context Window (Max Output)
1,024k (128k out)
131k (8k out)
Claude Opus 5.5 (7.8x larger context)
Avg TTFT Response Latency
680ms
410ms
DeepSeek V3 (270ms faster)
Generation Speed (Throughput)
95 tok/s
78 tok/s
Claude Opus 5.5 (+17 tok/s faster)
SWE-bench Verified (Coding)
89.9%
42%
Claude Opus 5.5 (+47.9% lead)
GPQA Diamond (PhD STEM)
93.2%
59.1%
Claude Opus 5.5 (+34.1% lead)
MMLU-Pro (Multi-Discipline)
92.1%
75.9%
Claude Opus 5.5 (+16.2% lead)
MATH-500 (Quantitative Logic)
98%
90.2%
Claude Opus 5.5 (+7.8% lead)
Inference Value Score (IVR)
57.8 / 100
75 / 100
DeepSeek V3 (+17.2 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
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).
DeepSeek V3 is cheaper at $0.14/1M input tokens ($0.28/1M 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 DeepSeek V3?
DeepSeek V3 delivers faster first-token latency at 410ms TTFT (78 tok/s throughput) compared to 680ms TTFT (95 tok/s) for Claude Opus 5.5.
How do Claude Opus 5.5 and DeepSeek V3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 42% for DeepSeek V3. On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 59.1% for DeepSeek V3 (and 98% vs 90.2% 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 DeepSeek V3?
Choose DeepSeek V3 (DeepSeek) for cost-sensitive batch text processing, drafting, and open-weight self-hosted inference — offering a 131k context window, 410ms TTFT, and $0.14/1M input pricing ($0.014/1M cached reads).
