whichllmmodel
Back to Dashboard
DeepSeek

DeepSeek V4 Flash

VS
OpenAI

GPT-5.4 mini

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.4 mini is the premium intelligence choice, scoring 5.3% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: DeepSeek V4 Flash is 9.6x 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-5.4 mini fully justifies the cost.

Model Specs

DeepSeek V4 Flash

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)9.6x cheaper
$0.17Input: $0.14 | Output: $0.28
Speed
109.1 tps
Context WindowLarger
1M tokens
Model Specs

GPT-5.4 mini

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+5.3%)
54.4%
Reasoning (gpqa-diamond)Winner (+7.5%)
87.5%

Cost & Performance

Cost (per 1M tokens)
$1.69Input: $0.75 | Output: $4.50
Speed1.8x faster
201 tps
Context Window
400k tokens
Read our data collection methodology

Frequently Asked Questions

DeepSeek V4 Flash is cheaper than GPT-5.4 mini. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 9.6x cheaper than GPT-5.4 mini at $1.69/1M tokens.

GPT-5.4 mini is faster than DeepSeek V4 Flash. GPT-5.4 mini generates 201 tokens per second (tps) compared to DeepSeek V4 Flash which generates 109.1 tokens per second.

GPT-5.4 mini is better for coding tasks. It scores 54.4% on coding evaluations (swe-bench-pro) compared to DeepSeek V4 Flash which scores 49.1%.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard