LLM Comparison

Gemini 3.8 Flash vs DeepSeek V4.1 Flash: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.8 Flash vs DeepSeek V4.1 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 #10 vs #22AskClash overall scores 65.1 vs 61.7.
Pricing $1.50/$7.50 vs $0.15/$0.60Input and output token prices per 1M tokens when published.
Proprietary vs APIGoogle vs DeepSeek.

Gemini 3.8 Flash vs DeepSeek V4.1 Flash benchmark comparison

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

MetricGemini 3.8 FlashDeepSeek V4.1 Flash
Overall Score65.161.7
Leaderboard Rank#10#22
ACB61.1
Coding Agent Index41.9
HLE54.936.8
GPQA95.390.9
SWE-Atlas45.2
Terminal-Bench89.490.6
DeepSWE73.874.2
GDPval-AA1545.0
Finance Agent61.4
CharXiv86.2
MMMU-Pro85.6
Input Price (per 1M tokens)$1.50$0.15
Output Price (per 1M tokens)$7.50$0.60
Context Window1M1M
Benchmarks Published124

Gemini 3.8 Flash vs DeepSeek V4.1 Flash head-to-head charts

Gemini 3.8 Flash leads 3 and DeepSeek V4.1 Flash leads 2 of 5 shared benchmarks. DeepSeek V4.1 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.8 FlashDeepSeek V4.1 Flash
Overall
65.1Gemini 3.8 Flash
61.7DeepSeek V4.1 Flash
HLE
54.9Gemini 3.8 Flash
36.8DeepSeek V4.1 Flash
GPQA
95.3Gemini 3.8 Flash
90.9DeepSeek V4.1 Flash
Terminal-Bench
89.4Gemini 3.8 Flash
90.6DeepSeek V4.1 Flash
DeepSWE
73.8Gemini 3.8 Flash
74.2DeepSeek V4.1 Flash
Gemini 3.8 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M
DeepSeek V4.1 Flash
Input$0.15
Output$0.60
Workload$0.27
Context1M

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

More Gemini 3.8 Flash and DeepSeek V4.1 Flash comparisons

Explore how Gemini 3.8 Flash and DeepSeek V4.1 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.