BlogLLM Benchmark Scores as Published, Side by Side

DeepSeek-V4.1-Flash-1017 vs Qwen3.8-Max: Benchmark Scores Side by Side

Every test both DeepSeek-V4.1-Flash-1017 by DeepSeek and Qwen3.8-Max by Alibaba have a published number for: 12 tests in 5 areas. Each number is as printed, with the page it comes from and the setup it was run under; nothing is ranked or rescored, and two numbers under different setups are two results, not one comparison.

Models DeepSeek-V4.1-Flash-1017, Qwen3.8-MaxData version 2026103001, as of 2026-10-30

Model

What each developer prints on its own model page; a dash means it prints none.

FactDeepSeek-V4.1-Flash-1017Qwen3.8-Max
Released2026-10-172026-08-03
Context window1M1M
Max output-131K
InputText, imageText, image, video
OutputTextText
WeightsOpen (MIT)Closed

Knowledge Work

TestDeepSeek-V4.1-Flash-1017Qwen3.8-Max
AutomationBench
60.5%DeepSeek, DeepSeek-V4.1-Flash-1017 model card, checked 2026-10-18; printed on 2 more pagesDataset revision: v1.0.6 (printed in the label)
27.3%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14; printed on 1 more page

Agentic Coding

TestDeepSeek-V4.1-Flash-1017Qwen3.8-Max
DeepSWE v1.1
77%DeepSeek, DeepSeek-V4.1-Flash-1017 model card, checked 2026-10-18; printed on 2 more pagesHarness: Mini-SWE-V2
56.6%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14; printed on 2 more pages
Terminal-Bench 4.0
42.3%DeepSeek, DeepSeek-V4.1-Flash-1017 model card, checked 2026-10-18; printed on 2 more pagesHarness: Claude Code
NL2Repo-Bench
68.2DeepSeek, DeepSeek-V4.1-Flash-1017 model card, checked 2026-10-18; printed on 1 more page
55.9Alibaba, Qwen3.8-Max comparison, checked 2026-10-14; printed on 1 more page
ProgramBench Almost@1
29.1%DeepSeek, DeepSeek-V4.1-Flash-1017 model card, checked 2026-10-18; printed on 1 more page
10.5%Z.ai, GLM-5.3 model card, checked 2026-10-15

Science and Math

TestDeepSeek-V4.1-Flash-1017Qwen3.8-Max
GPQA Diamond
92.2%Moonshot AI, Introducing Kimi K3.1 Pro, checked 2026-10-24Effort: max
92.6%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14
FrontierMath Tier 4 (v2)
46.3%Epoch AI, Epoch AI Benchmarking Hub, checked 2026-10-30Effort: max
46.3%Epoch AI, Epoch AI Benchmarking Hub, checked 2026-10-30Effort: xhigh
FrontierMath Tier 1-3 (v2)
71.2%Epoch AI, Epoch AI Benchmarking Hub, checked 2026-10-30Effort: max
74.7%Epoch AI, Epoch AI Benchmarking Hub, checked 2026-10-30Effort: xhigh

General Knowledge and Reasoning

TestDeepSeek-V4.1-Flash-1017Qwen3.8-Max
Humanity's Last Exam (no tools)
42.6%DeepSeek, DeepSeek-V4.1-Flash-1017 model card, checked 2026-10-18; printed on 2 more pages
44%DeepSeek, DeepSeek-V4.1-Flash-1017 model card, checked 2026-10-18Dataset revision: text-only subset of HLE (dagger on the card)
43.6%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14
Humanity's Last Exam (with tools)
58.8%Moonshot AI, Introducing Kimi K3.1 Pro, checked 2026-10-24Effort: max; Tools: with tools
56.2%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14; printed on 1 more pageTools: enabled; exact tools in source
SimpleQA Verified
42.5%Epoch AI, Epoch AI Benchmarking Hub, checked 2026-10-30Effort: max
45.8%Epoch AI, Epoch AI Benchmarking Hub, checked 2026-10-30Effort: xhigh

Tool Use and Workflows

TestDeepSeek-V4.1-Flash-1017Qwen3.8-Max
Agents' Last Exam (pass rate)
35.4%DeepSeek, DeepSeek-V4.1-Flash-1017 model card, checked 2026-10-18; printed on 1 more page
27%Alibaba, Qwen3.8-Max comparison, checked 2026-10-14; printed on 1 more page

Price

API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked; a dash means the developer lists that price in another unit or not at all. Cost per task is measured by Vals AI.

PriceDeepSeek-V4.1-Flash-1017Qwen3.8-Max
Input
$0.3DeepSeek, DeepSeek API pricing, checked 2026-10-18
$1.65Alibaba, Alibaba Model Studio pricing, checked 2026-10-15
Cached input
$0.006DeepSeek, DeepSeek API pricing, checked 2026-10-18
-
Output
$1.2DeepSeek, DeepSeek API pricing, checked 2026-10-18
$4.951Alibaba, Alibaba Model Studio pricing, checked 2026-10-15
Input, off-peak hours
$0.15DeepSeek, DeepSeek API pricing, checked 2026-10-18
-
Cached input, off-peak hours
$0.003DeepSeek, DeepSeek API pricing, checked 2026-10-18
-
Output, off-peak hours
$0.6DeepSeek, DeepSeek API pricing, checked 2026-10-18
-
Cost per taskVals AI, USD, lower is better
$0.58Vals AI, Vibe Code Bench v1.1 leaderboard, checked 2026-10-27Harness: OpenHands
$8.24Vals AI, Vibe Code Bench v1.1 leaderboard, checked 2026-10-27Harness: OpenHands

DeepSeek-V4.1-Flash-1017 has 38 more and Qwen3.8-Max has 33 more: tests only one of them has a number for, listed on its model page.

More side by side

Every number here is read from the same catalog file as the benchmark table, data version 2026103001. A pair has a page when both models are their developers' flagships and both have a number for at least 10 of the same tests. Where one page printed a 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.