LLM Comparison

DeepSeek V4 Pro 0813 vs DeepSeek V4 Flash 0731: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Pro 0813 vs DeepSeek V4 Flash 0731 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 #15 vs #18AskClash overall scores 61.1 vs 54.8.
Pricing $0.43/$0.87 vs $0.14/$0.28Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightDeepSeek vs DeepSeek.

DeepSeek V4 Pro 0813 vs DeepSeek V4 Flash 0731 benchmark comparison

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

MetricDeepSeek V4 Pro 0813DeepSeek V4 Flash 0731
Overall Score61.154.8
Leaderboard Rank#15#18
ACB54.748.0
RWT7.0
HLE42.737.0
GPQA90.191.0
MATH-50057.4
SWE-bench80.679.0
SWE-Pro55.4
Terminal-Bench87.982.7
DeepSWE62.754.4
MCP Atlas73.669.0
Finance Agent49.5
MRCR78.7
Input Price (per 1M tokens)$0.43$0.14
Output Price (per 1M tokens)$0.87$0.28
Context Window1M1M
Benchmarks Published910

DeepSeek V4 Pro 0813 vs DeepSeek V4 Flash 0731 head-to-head charts

DeepSeek V4 Pro 0813 leads 7 and DeepSeek V4 Flash 0731 leads 1 of 8 shared benchmarks. DeepSeek V4 Flash 0731 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Pro 0813DeepSeek V4 Flash 0731
Overall
61.1DeepSeek V4 Pro 0813
54.8DeepSeek V4 Flash 0731
ACB
54.7DeepSeek V4 Pro 0813
48.0DeepSeek V4 Flash 0731
HLE
42.7DeepSeek V4 Pro 0813
37.0DeepSeek V4 Flash 0731
GPQA
90.1DeepSeek V4 Pro 0813
91.0DeepSeek V4 Flash 0731
SWE-bench
80.6DeepSeek V4 Pro 0813
79.0DeepSeek V4 Flash 0731
Terminal-Bench
87.9DeepSeek V4 Pro 0813
82.7DeepSeek V4 Flash 0731
DeepSWE
62.7DeepSeek V4 Pro 0813
54.4DeepSeek V4 Flash 0731
MCP Atlas
73.6DeepSeek V4 Pro 0813
69.0DeepSeek V4 Flash 0731
DeepSeek V4 Pro 0813
Input$0.43
Output$0.87
Workload$0.61
Context1M
DeepSeek V4 Flash 0731
Input$0.14
Output$0.28
Workload$0.20
Context1M

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

More DeepSeek V4 Pro 0813 and DeepSeek V4 Flash 0731 comparisons

Explore how DeepSeek V4 Pro 0813 and DeepSeek V4 Flash 0731 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.