D

DeepSeek V4.1 Flash (1017 checkpoint)

Global Rank
#13
Intelligence Index
42.6%
Blended Price / 1M
$0.2625
Throughput Speed
186 tps
Latency (TTFT)
850 ms
Context Window
1M
Price Efficiency
—
VERIFIED TELEMETRY

Benchmark Evaluations

View Benchmark Suites →
GPQA Diamond (default) 84.0%
SciCode (default) 46.5%
SWE-bench Verified (default) 43.5%
Terminal-Bench 2.0 (default) 42.0%
LiveCodeBench (default) 40.5%

Model Overview & Capabilities

DeepSeek-V4.1-Flash (checkpoint 1017, released October 17, 2026) is an enhanced post-training iteration of DeepSeek’s open-weights flash series, securing Rank #13 on our global leaderboard with an empirical composite score of 42.6. In verified benchmarks, checkpoint 1017 achieves 43.5% on SWE-bench Verified, 42.0% on Terminal-Bench 2.0, 43.0% on Aider Polyglot, and 84.0% on GPQA Diamond scientific evaluations.

DeepSeek continues to lead the global AI industry in cost-to-performance efficiency, billing just $0.15 per million input tokens and $0.60 per million output tokens, which results in an effective blended price of $0.26 per million tokens under 3:1 weighting, with cached input hits costing only $0.003 per million tokens. This translates to an unprecedented $0.0062 per index point, making it the most cost-effective reasoning engine available anywhere.

With a massive 1,000,000-token context window, an enormous 384,000-token maximum output limit, generation speeds of 186 tokens per second, and a permissive open MIT license, DeepSeek V4.1 Flash 1017 is the benchmark standard for high-volume automated code analysis, continuous integration pull request triage, and autonomous multi-agent software pipelines across budget-conscious developer teams worldwide.

Pricing Trend History

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Abdullah Zulfiqar
Abdullah ZulfiqarFounder & Technical EditorLast updated 21 October 2026

Abdullah Zulfiqar is the founder and editor of VibeCoderJournal, an independent publication covering AI coding tools, model benchmarks and developer workflows. His coverage includes Claude Code, Codex CLI, local model setup and benchmark methodology. See the About and Editorial Standards page for scoring definitions, source limitations and correction contacts.

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