LLM Comparison

DeepSeek V4 Flash Vision Exp vs Gemini 3.7 Flash: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Flash Vision Exp vs Gemini 3.7 Flash 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 #19 vs #21AskClash overall scores 54.8 vs 54.5.
Pricing $0.14/$0.28 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
API vs ProprietaryDeepSeek vs Google.

DeepSeek V4 Flash Vision Exp vs Gemini 3.7 Flash benchmark comparison

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

MetricDeepSeek V4 Flash Vision ExpGemini 3.7 Flash
Overall Score54.854.5
Leaderboard Rank#19#21
ACB58.638.9
HLE53.6
GPQA94.5
Terminal-Bench83.985.8
DeepSWE59.365.3
GDPval-AA1525.0
Finance Agent59.0
CharXiv84.5
MMMU-Pro85.5
MRCR97.0
Input Price (per 1M tokens)$0.14$1.50
Output Price (per 1M tokens)$0.28$7.50
Context Window1M1M
Benchmarks Published311

DeepSeek V4 Flash Vision Exp vs Gemini 3.7 Flash head-to-head charts

DeepSeek V4 Flash Vision Exp leads 2 and Gemini 3.7 Flash leads 2 of 4 shared benchmarks. DeepSeek V4 Flash Vision Exp is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Flash Vision ExpGemini 3.7 Flash
Overall
54.8DeepSeek V4 Flash Vision Exp
54.5Gemini 3.7 Flash
ACB
58.6DeepSeek V4 Flash Vision Exp
38.9Gemini 3.7 Flash
Terminal-Bench
83.9DeepSeek V4 Flash Vision Exp
85.8Gemini 3.7 Flash
DeepSWE
59.3DeepSeek V4 Flash Vision Exp
65.3Gemini 3.7 Flash
DeepSeek V4 Flash Vision Exp
Input$0.14
Output$0.28
Workload$0.20
Context1M
Gemini 3.7 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M

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

More DeepSeek V4 Flash Vision Exp and Gemini 3.7 Flash comparisons

Explore how DeepSeek V4 Flash Vision Exp and Gemini 3.7 Flash 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.