BlogLLM Benchmark Scores as Published, Side by Side

DeepSeek-V4.1-Flash: Benchmark Scores as Published

Every result the catalog holds for DeepSeek-V4.1-Flash: 33 tests in 10 areas, from 8 pages. 20 printed by DeepSeek itself, the rest by the company named beside each number. Each number is as printed; nothing is ranked or rescored.

Developer DeepSeekReleased 2026-09-10Context window 1MInput Text, imageOutput TextWeights Open (MIT)Data version 2026103001, as of 2026-10-30

Knowledge Work

TestValuePrinted bySetup as printed
AutomationBench54.8%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 2 more pagesEffort: max; Harness: official scaffold
Apex Bench v1.164.6%DeepSeek, DeepSeek-V4.1-Flash-1017 model cardchecked 2026-10-18-

Agentic Coding

TestValuePrinted bySetup as printed
Terminal-Bench 2.184.1%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: Codex; Attempt budget: N=3 samples per task; Context: 1M
90.3%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: mini-SWE; Attempt budget: N=3 samples per task; Context: 1M
85.8%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: DeepSeek Harness (DSH) Standard; Attempt budget: N=3 samples per task; Context: 1M
90.6%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: DeepSeek Harness (DSH) Minimal; Attempt budget: N=3 samples per task (scaffold table); Context: 1M
85%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: OpenCode; Attempt budget: N=3 samples per task; Context: 1M
88%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: Claude Code; Attempt budget: N=3 samples per task; Context: 1M
86.1%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: Pi; Attempt budget: N=3 samples per task; Context: 1M
85.8%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: DeepSeek Harness (DSH) PTC; Attempt budget: N=3 samples per task; Context: 1M
DeepSWE v1.169.8%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 2 more pagesEffort: max; Harness: Claude Code; Attempt budget: N=8 samples per task; Context: 1M
74.2%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: mini-SWE; Attempt budget: N=8 samples per task (scaffold table); Context: 1M
72.6%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: DeepSeek Harness (DSH) Minimal; Attempt budget: N=8 samples per task; Context: 1M
65.6%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: Codex; Attempt budget: N=8 samples per task; Context: 1M
66.2%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: Pi; Attempt budget: N=8 samples per task; Context: 1M
70.5%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: DeepSeek Harness (DSH) Standard; Attempt budget: N=8 samples per task; Context: 1M
67.6%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: DeepSeek Harness (DSH) PTC; Attempt budget: N=8 samples per task; Context: 1M
65.5%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: OpenCode; Attempt budget: N=8 samples per task; Context: 1M
Terminal-Bench 4.031.2%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 2 more pagesEffort: max; Harness: DeepSeek Harness (DSH) Minimal; Context: 1M
NL2Repo-Bench64DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 2 more pagesEffort: max; Harness: DeepSeek Harness (DSH) Minimal; Context: 1M
ProgramBench Almost@120.3%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 1 more pageEffort: max; Harness: DeepSeek Harness (DSH) Minimal; Context: 1M
Terminal-Bench 3.030%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Harness: DeepSeek Harness (DSH) Minimal; Context: 1M

ML Engineering

TestValuePrinted bySetup as printed
PostTrainBench v1.130.5%MiniMax, MiniMax-M3.1-Flash model cardchecked 2026-10-25Dataset revision: v1.1

Science and Math

TestValuePrinted bySetup as printed
GPQA Diamond90.9%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max
MathArena Apex65.6%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max
SciCode-Verified77.9%Mistral AI, Mistral Large 4 (preview)checked 2026-10-15Attempt budget: pass@1 (n=6)

Computer Use

TestValuePrinted bySetup as printed
OSWorld 2.054.3%MiniMax, MiniMax-M3.1-Flash model cardchecked 2026-10-25Dataset revision: 0808 Full release

Multimodal Understanding

TestValuePrinted bySetup as printed
CharXiv Reasoning (no tools)69%MiniMax, MiniMax-M3.1-Flash model cardchecked 2026-10-25Tools: none
GDP.pdf12.8%MiniMax, MiniMax-M3.1-Flash model cardchecked 2026-10-25; printed on 1 more page-
BabyVision (with tools)89.6%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 2 more pagesEffort: max; Harness: Claude Code; Tools: enabled; exact tools in source; Context: 512k
Chartography (with tools)78.9%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 1 more pageEffort: max; Harness: Claude Code; Tools: enabled; exact tools in source; Context: 512k
ZeroBench (with tools, pass@5)49%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 1 more pageEffort: max; Harness: Claude Code; Tools: enabled; exact tools in source; Context: 512k
ChartQA Pro59.9%Mistral AI, Mistral Large 4 (preview)checked 2026-10-15-
Dense200 (bbox)3.3%Mistral AI, Mistral Large 4 (preview)checked 2026-10-15-

Cybersecurity

TestValuePrinted bySetup as printed
CyberGym88.1%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max
ExploitGym15.3%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max
SEC-Bench Pro62.8%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 1 more pageEffort: max; Harness: Claude Code
CWE-bench v155%Google, Gemini 4 Carbon: our next frontier modelchecked 2026-10-29Harness: opencode
Artificial Analysis Cyber Index (successes)41Mistral AI, Mistral Large 4 (preview)checked 2026-10-15-
CyberGym-E2E23%Mistral AI, Mistral Large 4 (preview)checked 2026-10-15-
xdev-bench-hard, problems solved (pass@3)85.7%Moonshot AI, Introducing Kimi K3.1 Prochecked 2026-10-24Harness: Claude Code; Attempt budget: pass@3
xdev-bench-hard, average success rate57.1%Moonshot AI, Introducing Kimi K3.1 Prochecked 2026-10-24Harness: Claude Code; Attempt budget: pass@3

General Knowledge and Reasoning

TestValuePrinted bySetup as printed
Humanity's Last Exam (no tools)39.1%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 2 more pagesEffort: max; Dataset revision: text-only subset of HLE (dagger on the card)
36.8%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max
Humanity's Last Exam (with tools)63.9%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max; Tools: enabled; exact tools in source

Code Generation

TestValuePrinted bySetup as printed
Codeforces rating3471DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15Effort: max

Tool Use and Workflows

TestValuePrinted bySetup as printed
Agents' Last Exam (pass rate)31.8%DeepSeek, DeepSeek-V4.1-Flash model cardchecked 2026-10-15; printed on 1 more pageEffort: max; Harness: official scaffold
BankerToolBench73.7%MiniMax, MiniMax-M3.1-Flash model cardchecked 2026-10-25-

Price

API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked. Cost per task is measured by Vals AI.

PriceValuePrinted bySetup as printed
Input$0.3DeepSeek, DeepSeek API pricingchecked 2026-10-15-
Cached input$0.006DeepSeek, DeepSeek API pricingchecked 2026-10-15-
Output$1.2DeepSeek, DeepSeek API pricingchecked 2026-10-15-
Input, off-peak hours$0.15DeepSeek, DeepSeek API pricingchecked 2026-10-15-
Cached input, off-peak hours$0.003DeepSeek, DeepSeek API pricingchecked 2026-10-15-
Output, off-peak hours$0.6DeepSeek, DeepSeek API pricingchecked 2026-10-15-
Cost per taskVals AI, USD, lower is better$0.41Vals AI, Vibe Code Bench v1.1 leaderboardchecked 2026-10-27Harness: OpenHands

More from DeepSeek

Every number here is read from the same catalog file as the benchmark table, data version 2026103001. Where one page printed the model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.