LLM Comparison

DeepSeek V4 Pro vs Gemini 3.5 Flash-Lite: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Pro vs Gemini 3.5 Flash-Lite comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Rank #53 vs #61AskClash overall scores 19.9 vs 14.2.
Pricing $1.74/$3.48 vs $0.30/$2.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryDeepSeek vs Google.

DeepSeek V4 Pro vs Gemini 3.5 Flash-Lite benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricDeepSeek V4 ProGemini 3.5 Flash-Lite
Overall Score19.914.2
Leaderboard Rank#53#61
RWT7.07.0
HLE7.7
GPQA72.9
MATH-50064.5
SWE-bench73.6
SWE-Pro52.154.2
Terminal-Bench59.154.0
OSWorld74.0
MCP Atlas69.4
Finance Agent44.1
MRCR44.772.2
Input Price (per 1M tokens)$1.74$0.30
Output Price (per 1M tokens)$3.48$2.50
Context Window1M1M
Benchmarks Published86

DeepSeek V4 Pro vs Gemini 3.5 Flash-Lite head-to-head charts

DeepSeek V4 Pro leads 2 and Gemini 3.5 Flash-Lite leads 2 of 5 shared benchmarks. Gemini 3.5 Flash-Lite is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 ProGemini 3.5 Flash-Lite
Overall
19.9DeepSeek V4 Pro
14.2Gemini 3.5 Flash-Lite
RWT
7.0DeepSeek V4 Pro
7.0Gemini 3.5 Flash-Lite
SWE-Pro
52.1DeepSeek V4 Pro
54.2Gemini 3.5 Flash-Lite
Terminal-Bench
59.1DeepSeek V4 Pro
54.0Gemini 3.5 Flash-Lite
MRCR
44.7DeepSeek V4 Pro
72.2Gemini 3.5 Flash-Lite
DeepSeek V4 Pro
Input$1.74
Output$3.48
Workload$2.44
Context1M
Gemini 3.5 Flash-Lite
Input$0.30
Output$2.50
Workload$0.80
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More DeepSeek V4 Pro and Gemini 3.5 Flash-Lite comparisons

Explore how DeepSeek V4 Pro and Gemini 3.5 Flash-Lite stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.