LLM Comparison

DeepSeek V4.1 Flash vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4.1 Flash vs GPT-5.5 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 #14 vs #15AskClash overall scores 64.2 vs 64.1.
Pricing $0.15/$0.60 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
API vs ProprietaryDeepSeek vs OpenAI.

DeepSeek V4.1 Flash vs GPT-5.5 benchmark comparison

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

MetricDeepSeek V4.1 FlashGPT-5.5
Overall Score64.264.1
Leaderboard Rank#14#15
ACB63.062.0
RWT8.0
HLE36.852.2
GPQA90.993.6
IFEval75.9
SWE-Pro58.6
Terminal-Bench90.682.7
DeepSWE74.267.0
GDPval-AA1632.11395.8
OSWorld78.7
MCP Atlas75.3
Finance Agent53.551.8
MMMU-Pro77.081.2
ARC-AGI 285.0
Tau298.0
Input Price (per 1M tokens)$0.15$5.00
Output Price (per 1M tokens)$0.60$30.0
Context Window1M1M
Benchmarks Published915

DeepSeek V4.1 Flash vs GPT-5.5 head-to-head charts

DeepSeek V4.1 Flash leads 6 and GPT-5.5 leads 3 of 9 shared benchmarks. DeepSeek V4.1 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4.1 FlashGPT-5.5
Overall
64.2DeepSeek V4.1 Flash
64.1GPT-5.5
ACB
63.0DeepSeek V4.1 Flash
62.0GPT-5.5
HLE
36.8DeepSeek V4.1 Flash
52.2GPT-5.5
GPQA
90.9DeepSeek V4.1 Flash
93.6GPT-5.5
Terminal-Bench
90.6DeepSeek V4.1 Flash
82.7GPT-5.5
DeepSWE
74.2DeepSeek V4.1 Flash
67.0GPT-5.5
GDPval-AA
1632.1DeepSeek V4.1 Flash
1395.8GPT-5.5
Finance Agent
53.5DeepSeek V4.1 Flash
51.8GPT-5.5
MMMU-Pro
77.0DeepSeek V4.1 Flash
81.2GPT-5.5
DeepSeek V4.1 Flash
Input$0.15
Output$0.60
Workload$0.27
Context1M
GPT-5.5
Input$5.00
Output$30.0
Workload$11
Context1M

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

More DeepSeek V4.1 Flash and GPT-5.5 comparisons

Explore how DeepSeek V4.1 Flash and GPT-5.5 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.