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Anthropic

Claude Opus 4.7

VS
DeepSeek

DeepSeek V4 Flash

✍️ 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 15.2% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: DeepSeek V4 Flash is 57.1x cheaper to run and delivers 2.3x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, DeepSeek V4 Flash 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 (+15.2%)
64.3%
Reasoning (gpqa-diamond)Winner (+14.2%)
94.2%

Cost & Performance

Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00
Speed
48.1 tps
Context Window
1M tokens
Model Specs

DeepSeek V4 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
49.1%
Reasoning (gpqa-diamond)
80%

Cost & Performance

Cost (per 1M tokens)57.1x cheaper
$0.17Input: $0.14 | Output: $0.28
Speed2.3x faster
109.1 tps
Context Window
1M tokens

Frequently Asked Questions

DeepSeek V4 Flash is cheaper than Claude Opus 4.7. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 57.1x cheaper than Claude Opus 4.7 at $10.00/1M tokens.

DeepSeek V4 Flash is faster than Claude Opus 4.7. DeepSeek V4 Flash generates 109.1 tokens per second (tps) compared to Claude Opus 4.7 which generates 48.1 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 Flash which scores 49.1%.

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