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Anthropic

Claude Opus 4.7

VS
DeepSeek

DeepSeek V4 Pro

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Claude Opus 4.7 is the premium intelligence choice, scoring 12.2% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: DeepSeek V4 Pro is 4.6x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, DeepSeek V4 Pro offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Claude Opus 4.7 fully justifies the cost.

Model Specs

Claude Opus 4.7

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+12.2%)
64.3%
Reasoning (gpqa-diamond)Winner (+6.2%)
94.2%

Cost & Performance

Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00
Speed1.2x faster
48.1 tps
Context Window
1M tokens
Model Specs

DeepSeek V4 Pro

Benchmarks & Scores

Coding (swe-bench-pro)
52.1%
Reasoning (gpqa-diamond)
88%

Cost & Performance

Cost (per 1M tokens)4.6x cheaper
$2.17Input: $1.74 | Output: $3.48
Speed
39.7 tps
Context Window
1M tokens
Read our data collection methodology

Frequently Asked Questions

DeepSeek V4 Pro is cheaper than Claude Opus 4.7. DeepSeek V4 Pro has a blended cost of $2.17/1M tokens, which is about 4.6x cheaper than Claude Opus 4.7 at $10.00/1M tokens.

Claude Opus 4.7 is faster than DeepSeek V4 Pro. Claude Opus 4.7 generates 48.1 tokens per second (tps) compared to DeepSeek V4 Pro which generates 39.7 tokens per second.

Claude Opus 4.7 is better for coding tasks. It scores 64.3% on coding evaluations (swe-bench-pro) compared to DeepSeek V4 Pro which scores 52.1%.

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