ACB
63.0 score
LLM Leaderboard · API
DeepSeek V4.1 Flash leaderboard — benchmarks, pricing, and comparisons.
Compare DeepSeek V4.1 Flash vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.
Rank #15AskClash overall score: 64.1
$0.15 / $0.60Input and output token price, when published. Context: 1M.
Visit websiteVisit the model provider's website.
DeepSeek V4.1 Flash benchmark snapshot
AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.
Overall64.1
Benchmark cells9
Context1M
CreatorDeepSeek
DeepSeek V4.1 Flash public benchmark scores
Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.
HLE
36.8 score
GPQA
90.9 score
Terminal-Bench
90.6 score
DeepSWE
74.2 score
GDPval-AA
1632.1 score
Finance Agent
53.5 score
MMMU-Pro
77.0 score
DeepSeek V4.1 Flash vs other AI models
Use these comparison links to evaluate DeepSeek V4.1 Flash against nearby LLMs by benchmark score, price, context window, and provider.
Related AI and tech coverage
Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.
[AINews] DeepSeek v4.1-Flash: 763B-P8B-D16B novel causal Encoder–Decoder architecture with vision marks the Return of the Whale
Latent Space
New Deepseek model V4.1-Flash cuts memory needs for AI agents
Deepseek releases V4.1-Flash, a multimodal model with 552 billion parameters that cuts KV cache memory to a quarter of its predecessor. On the DeepSWE coding benchmark, it narrowly beats Opus 5 and GPT-5.6 Sol, even though only 16 billion parameters are active
DeepSeek Flash v4.1 🤖, Siri AI 📱, Anthropic AI economics 📈
DeepSeek Flash v4.1 🤖, Siri AI 📱, Anthropic AI economics 📈 TLDR Newsletters Advertise Blog TLDR TLDR AI 2026-09-10 DeepSeek Flash v4.1 🤖, Siri AI 📱, Anthropic AI economics 📈 Debugging Agents in Different Environments - Live Workshop (Sponsor) Bad tool calls, m
DeepSeek-V4.1-Flash (Max) is a breakthrough in performance to cost efficiency.
DeepSeek-V4.1-Flash (Max) is a breakthrough in performance to cost efficiency. With +4.87% net improvement at $0.07 cost per median task, it’s reshaped the Pareto frontier for Agent Arena! Among the top 3 open models, DeepSeek-V4.1-Flash (Max) has the lowest
Last cached leaderboard date: . This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.