LLM Comparison

Claude Sonnet 5 vs DeepSeek V4.1 Flash: benchmark scores, pricing & comparison.

Side-by-side Claude Sonnet 5 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 #17 vs #22AskClash overall scores 63.4 vs 61.7.
Pricing $3.00/$15.0 vs $0.15/$0.60Input and output token prices per 1M tokens when published.
Proprietary vs APIAnthropic vs DeepSeek.

Claude Sonnet 5 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.

MetricClaude Sonnet 5DeepSeek V4.1 Flash
Overall Score63.461.7
Leaderboard Rank#17#22
ACB60.8
RWT8.5
HLE57.436.8
GPQA91.190.9
SWE-bench85.2
SWE-Pro63.2
Terminal-Bench80.490.6
DeepSWE53.874.2
GDPval-AA1618.0
OSWorld81.2
CharXiv88.3
MMMU-Pro77.3
Input Price (per 1M tokens)$3.00$0.15
Output Price (per 1M tokens)$15.0$0.60
Context Window1M1M
Benchmarks Published124

Claude Sonnet 5 vs DeepSeek V4.1 Flash head-to-head charts

Claude Sonnet 5 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.

Claude Sonnet 5DeepSeek V4.1 Flash
Overall
63.4Claude Sonnet 5
61.7DeepSeek V4.1 Flash
HLE
57.4Claude Sonnet 5
36.8DeepSeek V4.1 Flash
GPQA
91.1Claude Sonnet 5
90.9DeepSeek V4.1 Flash
Terminal-Bench
80.4Claude Sonnet 5
90.6DeepSeek V4.1 Flash
DeepSWE
53.8Claude Sonnet 5
74.2DeepSeek V4.1 Flash
Claude Sonnet 5
Input$3.00
Output$15.0
Workload$6.00
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 Claude Sonnet 5 and DeepSeek V4.1 Flash comparisons

Explore how Claude Sonnet 5 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.