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DeepSeek DeepSeek V4 Flash VS OpenAI GPT-5.6 Sol

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.6 Sol is the premium intelligence choice, scoring 15.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: DeepSeek V4 Flash is 64.3x cheaper to run. 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 GPT-5.6 Sol fully justifies the cost.
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Model Specs

DeepSeek V4 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
49.1%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
80%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)64.3x cheaper
$0.17Input: $0.14 | Output: $0.28
Context Window
1M tokens
Model Specs

GPT-5.6 Sol

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+15.5%)
64.6%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+14.6%)
94.6%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00
Context WindowLarger
1.05M tokens

Frequently Asked Questions about DeepSeek V4 Flash vs GPT-5.6 Sol comparison

DeepSeek V4 Flash is cheaper than GPT-5.6 Sol. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 64.3x cheaper than GPT-5.6 Sol at $11.25/1M tokens.

GPT-5.6 Sol is better for coding tasks on this benchmark. It scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to DeepSeek V4 Flash which scores 49.1%.