LLM Comparison

DeepSeek V4 Pro 0813 vs Gemini 3.5 Flash-Lite: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Pro 0813 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 #17 vs #66AskClash overall scores 60.5 vs 12.4.
Pricing $0.43/$0.87 vs $0.30/$2.50Input and output token prices per 1M tokens when published.
Open Weight vs AI modelDeepSeek vs Google.

DeepSeek V4 Pro 0813 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 Pro 0813Gemini 3.5 Flash-Lite
Overall Score60.512.4
Leaderboard Rank#17#66
RWT7.07.0
HLE42.7
GPQA90.1
SWE-bench80.6
SWE-Pro55.454.2
Terminal-Bench87.954.0
DeepSWE62.7
OSWorld74.0
MCP Atlas73.6
Finance Agent47.4
MRCR72.2
Input Price (per 1M tokens)$0.43$0.30
Output Price (per 1M tokens)$0.87$2.50
Context Window1M1M
Benchmarks Published97

DeepSeek V4 Pro 0813 vs Gemini 3.5 Flash-Lite head-to-head charts

DeepSeek V4 Pro 0813 leads 3 and Gemini 3.5 Flash-Lite leads 0 of 4 shared benchmarks. DeepSeek V4 Pro 0813 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Pro 0813Gemini 3.5 Flash-Lite
Overall
60.5DeepSeek V4 Pro 0813
12.4Gemini 3.5 Flash-Lite
RWT
7.0DeepSeek V4 Pro 0813
7.0Gemini 3.5 Flash-Lite
SWE-Pro
55.4DeepSeek V4 Pro 0813
54.2Gemini 3.5 Flash-Lite
Terminal-Bench
87.9DeepSeek V4 Pro 0813
54.0Gemini 3.5 Flash-Lite
DeepSeek V4 Pro 0813
Input$0.43
Output$0.87
Workload$0.61
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 0813 and Gemini 3.5 Flash-Lite comparisons

Explore how DeepSeek V4 Pro 0813 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.