LLM Comparison

DeepSeek V4.1 Flash vs Grok 4.5: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4.1 Flash vs Grok 4.5 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 #19 vs #20AskClash overall scores 62.2 vs 61.6.
Pricing $0.15/$0.60 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
API vs ProprietaryDeepSeek vs xAI.

DeepSeek V4.1 Flash vs Grok 4.5 benchmark comparison

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

MetricDeepSeek V4.1 FlashGrok 4.5
Overall Score62.261.6
Leaderboard Rank#19#20
ACB63.057.6
RWT9.0
Coding Agent Index76.4
HLE36.840.3
GPQA90.993.1
SWE-Pro64.7
SWE-Atlas83.9
Terminal-Bench90.683.3
DeepSWE74.2
GDPval-AA1542.8
Finance Agent48.3
MMMU-Pro80.4
ARC-AGI 252.6
Input Price (per 1M tokens)$0.15$2.00
Output Price (per 1M tokens)$0.60$6.00
Context Window1M500K
Benchmarks Published512

DeepSeek V4.1 Flash vs Grok 4.5 head-to-head charts

DeepSeek V4.1 Flash leads 3 and Grok 4.5 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.

DeepSeek V4.1 FlashGrok 4.5
Overall
62.2DeepSeek V4.1 Flash
61.6Grok 4.5
ACB
63.0DeepSeek V4.1 Flash
57.6Grok 4.5
HLE
36.8DeepSeek V4.1 Flash
40.3Grok 4.5
GPQA
90.9DeepSeek V4.1 Flash
93.1Grok 4.5
Terminal-Bench
90.6DeepSeek V4.1 Flash
83.3Grok 4.5
DeepSeek V4.1 Flash
Input$0.15
Output$0.60
Workload$0.27
Context1M
Grok 4.5
Input$2.00
Output$6.00
Workload$3.20
Context500K

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

More DeepSeek V4.1 Flash and Grok 4.5 comparisons

Explore how DeepSeek V4.1 Flash and Grok 4.5 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.