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DeepSeek

DeepSeek V4 Pro

VS
Google

Gemini 2.5 Flash-Lite

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, DeepSeek V4 Pro is the premium intelligence choice, scoring 52.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 2.5 Flash-Lite is 12.4x cheaper to run and delivers 7.1x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 2.5 Flash-Lite offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of DeepSeek V4 Pro fully justifies the cost.

Model Specs

DeepSeek V4 Pro

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
52.1%
Reasoning (gpqa-diamond)Winner (+25.5%)
88%

Cost & Performance

Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48
Speed
39.7 tps
Context Window
1M tokens
Model Specs

Gemini 2.5 Flash-Lite

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
62.5%

Cost & Performance

Cost (per 1M tokens)12.4x cheaper
$0.17Input: $0.10 | Output: $0.40
Speed7.1x faster
280 tps
Context Window
1M tokens
Read our data collection methodology

Frequently Asked Questions

Gemini 2.5 Flash-Lite is cheaper than DeepSeek V4 Pro. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 12.4x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.

Gemini 2.5 Flash-Lite is faster than DeepSeek V4 Pro. Gemini 2.5 Flash-Lite generates 280 tokens per second (tps) compared to DeepSeek V4 Pro which generates 39.7 tokens per second.

DeepSeek V4 Pro is better for coding tasks. It scores 52.1% on coding evaluations (swe-bench-pro) compared to Gemini 2.5 Flash-Lite which scores N/A.

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