LLM Comparison

DeepSeek V4.1 Flash vs GPT-6.1 Sol: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4.1 Flash vs GPT-6.1 Sol 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.

Verdict: DeepSeek V4.1 Flash ranks higher (#16 vs #30); DeepSeek V4.1 Flash costs less ($0.15/$0.60 vs $2.00/$10.0 per 1M tokens).

Rank #16 vs #30AskClash overall scores 65.5 vs 58.1.
Pricing $0.15/$0.60 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
API vs ProprietaryDeepSeek vs OpenAI.

DeepSeek V4.1 Flash vs GPT-6.1 Sol benchmark comparison

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

MetricDeepSeek V4.1 FlashGPT-6.1 Sol
Overall Score65.558.1
Leaderboard Rank#16#30
ACB63.061.9
HLE36.8—
GPQA90.9—
Terminal-Bench90.6—
DeepSWE74.275.2
GDPval-AA1600.0—
Finance Agent53.5—
MMMU-Pro77.0—
Input Price (per 1M tokens)$0.15$2.00
Output Price (per 1M tokens)$0.60$10.0
Context Window1M1.05M
Benchmarks Published113

DeepSeek V4.1 Flash vs GPT-6.1 Sol head-to-head charts

DeepSeek V4.1 Flash leads 2 and GPT-6.1 Sol leads 1 of 3 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-6.1 Sol
Overall
65.5DeepSeek V4.1 Flash
58.1GPT-6.1 Sol
ACB
63.0DeepSeek V4.1 Flash
61.9GPT-6.1 Sol
DeepSWE
74.2DeepSeek V4.1 Flash
75.2GPT-6.1 Sol
DeepSeek V4.1 Flash
Input$0.15
Output$0.60
Workload$0.27
Context1M
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M

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

More DeepSeek V4.1 Flash and GPT-6.1 Sol comparisons

Explore how DeepSeek V4.1 Flash and GPT-6.1 Sol 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.