LLM Comparison

Claude Opus 5.5 vs DeepSeek V4.1 Flash: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5.5 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 #12 vs #18AskClash overall scores 64.5 vs 63.6.
Pricing $4.00/$20.0 vs $0.15/$0.60Input and output token prices per 1M tokens when published.
Proprietary vs APIAnthropic vs DeepSeek.

Claude Opus 5.5 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 Opus 5.5DeepSeek V4.1 Flash
Overall Score64.563.6
Leaderboard Rank#12#18
ACB61.763.0
HLE67.736.8
GPQA90.9
SWE-Pro89.9
Terminal-Bench90.6
DeepSWE74.274.2
GDPval-AA1846.21600.0
Finance Agent53.5
MMMU-Pro87.777.0
Input Price (per 1M tokens)$4.00$0.15
Output Price (per 1M tokens)$20.0$0.60
Context Window1M1M
Benchmarks Published79

Claude Opus 5.5 vs DeepSeek V4.1 Flash head-to-head charts

Claude Opus 5.5 leads 4 and DeepSeek V4.1 Flash leads 1 of 6 shared benchmarks. DeepSeek V4.1 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5.5DeepSeek V4.1 Flash
Overall
64.5Claude Opus 5.5
63.6DeepSeek V4.1 Flash
ACB
61.7Claude Opus 5.5
63.0DeepSeek V4.1 Flash
HLE
67.7Claude Opus 5.5
36.8DeepSeek V4.1 Flash
DeepSWE
74.2Claude Opus 5.5
74.2DeepSeek V4.1 Flash
GDPval-AA
1846.2Claude Opus 5.5
1600.0DeepSeek V4.1 Flash
MMMU-Pro
87.7Claude Opus 5.5
77.0DeepSeek V4.1 Flash
Claude Opus 5.5
Input$4.00
Output$20.0
Workload$8.00
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 Opus 5.5 and DeepSeek V4.1 Flash comparisons

Explore how Claude Opus 5.5 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.