Updated October 25, 2026. Rank says Qwen3.8 Max is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Qwen3.8 Max has the higher public score estimate, 69.82 versus 65.78, but the 90% score intervals overlap. Treat that as a lead, not a settled winner. 18 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Code generation, repair, and software-engineering tasks
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 has the higher public coding point estimate, 61.1 to 53.4, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Tool use, computer use, and multi-step task completion
Qwen3.8 Max
Qwen3.8 Max has the higher public agentic point estimate, 67.4 to 61.7, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
Like-for-like · BenchAlign v5.8
DeepSeek V4.1 Flash 1017 has the higher coding point estimate. Conditional score ranges do not establish rank confidence.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
AutomationBenchAgentic
Normalized gap 33.2FrontierMath v2 (Tier 4)Math
Normalized gap 19.5FrontierMath v2 (Tiers 1-3)Math
Normalized gap 7.4GPQAKnowledge
Normalized gap 1.7HLEKnowledge
Normalized gap 1.0Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
| Category | DeepSeek V4.1 Flash 1017 | Qwen3.8 Max | Basis | Reading |
|---|---|---|---|---|
| Agentic | 61.7Supported · #24/132 | 67.4Supported · #14/132 | Like-for-likeBenchAlign v5.8 lane · 11 vs 18 public rows | Qwen3.8 Max leads · intervals overlap |
| Coding | 61.1Supported · #18/153 | 53.4Supported · #37/153 | Like-for-likeBenchAlign v5.8 lane · 8 vs 13 public rows | DeepSeek V4.1 Flash 1017 leads · intervals overlap |
| Knowledge | 64.4Supported · #37/187 | 67.4Supported · #25/187 | Like-for-likeBenchAlign v5.8 lane · 3 vs 6 public rows | Qwen3.8 Max leads · intervals overlap |
| Reasoning | 82.5Unranked · 4 rankable rows | 87.0Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
| Multimodal | 78.8Unranked · 1 rankable row | 92.0#2/56 | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | 94.7#2/153 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Math | 70.1Unranked · 3 rankable rows | 78.9Unranked · 2 rankable rows | Not comparableProvisional lane · 2 vs 2 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
1K fresh input + 500 output tokens
Qwen3.8 Max has no comparable published API token rate.
50K fresh input + 3K output tokens
Qwen3.8 Max has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Qwen3.8 Max has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
DeepSeek V4.1 Flash 1017
Qwen3.8 Max
DeepSeek V4.1 Flash 1017
deepseek-flash
DeepSeek models and pricingQwen3.8 Max
qwen3.8-max
Alibaba Cloud Model Studio pricingA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
DeepSeek V4.1 Flash 1017
$0.006 per 1M cached input tokens
DeepSeek: Models & PricingQwen3.8 Max
No comparable hosted API rate
Alibaba Cloud Model Studio pricingDeepSeek V4.1 Flash 1017
text, image
DeepSeek vision guideQwen3.8 Max
Not sourced
DeepSeek V4.1 Flash 1017
Qwen3.8 Max
Not sourced
DeepSeek V4.1 Flash 1017
Generally Available · DeepSeek API, open weights
DeepSeek-V4.1-Flash-1017 API changelogQwen3.8 Max
Not sourced
DeepSeek V4.1 Flash 1017
Reasoning
Qwen3.8 Max
Reasoning
DeepSeek V4.1 Flash 1017
Open Weight
Qwen3.8 Max
Open Weight
DeepSeek V4.1 Flash 1017
Open Weight
Qwen3.8 Max
Open Weight
DeepSeek V4.1 Flash 1017
2026-10-17
Qwen3.8 Max
2026-08-03
Qwen3.8 Max has the higher public score estimate, 69.82 versus 65.78, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
DeepSeek V4.1 Flash 1017 has the higher public coding point estimate, 61.1 to 53.4, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Qwen3.8 Max has the higher public agentic tasks point estimate, 67.4 to 61.7, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Both models list the same context window, 1M.
Estimates at 50,000 req/day · 1000 tokens/req average.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.1
DeepSeek V4.1 Flash 1017 leads this result
terminalBench3
Not directly comparable
Terminal-Bench 4.0
Not directly comparable
CyberGym
Not directly comparable
ExploitGym
Not directly comparable
HLE w/ tools
DeepSeek V4.1 Flash 1017 leads this result
AutomationBench
DeepSeek V4.1 Flash 1017 leads this result
Agents' Last Exam
Qwen3.8 Max leads this result
Terminal-Bench 2.1 (Vals)
DeepSeek V4.1 Flash 1017 leads this result
CWE-bench v1
Not directly comparable
MazeBench
DeepSeek V4.1 Flash 1017 leads this result
CoWorkBench
Not directly comparable
JobBench
Not directly comparable
skillsBench
Not directly comparable
Toolathlon-Verified
Not directly comparable
WideResearch
Not directly comparable
OSWorld-Verified
Not directly comparable
OSWorld 2.0
Not directly comparable
WebArena-Verified
Not directly comparable
AndroidWorld
Not directly comparable
MobileWorld
Not directly comparable
Hermes Index
Not directly comparable
Hermes Bench
Not directly comparable
Codeforces
Not directly comparable
Terminal-Bench 2.1
DeepSeek V4.1 Flash 1017 leads this result
terminalBench3
Not directly comparable
DeepSWE
DeepSeek V4.1 Flash 1017 leads this result
ProgramBench
Not directly comparable
NL2Repo
DeepSeek V4.1 Flash 1017 leads this result
OpenHarmony Bench
Shared sourceQwen3.8 Max leads this result
Bug Hunt Bench
Shared sourceDeepSeek V4.1 Flash 1017 leads this result
SWE-bench Pro
Not directly comparable
FrontierSWE
Not directly comparable
MLS-Bench Lite
Not directly comparable
PaperBench
Not directly comparable
VulcanBench v3
Not directly comparable
FrontierSWE v2
Not directly comparable
LiveCodeBench (Vals)
Not directly comparable
SWE-bench (Vals)
Not directly comparable
STEMBench
Not directly comparable
JevBench 1.4
Not directly comparable
JevBench 1.5
Not directly comparable
MRCRv2
Not directly comparable
LongBench v2
Not directly comparable
ExtractBench (LlamaIndex)
Not directly comparable
ParseBench
Not directly comparable
Chartography (tools)
Not directly comparable
BabyVision w/ Python
DeepSeek V4.1 Flash 1017 leads this result
ZeroBench w/ Python
DeepSeek V4.1 Flash 1017 leads this result
MMMU-Pro
Not directly comparable
MathVision
Not directly comparable
MathVision w/ Python
Not directly comparable
BabyVision
Not directly comparable
ZeroBench
Not directly comparable
MedXpertQA (MM)
Not directly comparable
ScreenSpot Pro
Not directly comparable
Vision2Web
Not directly comparable
CharXiv w/o tools
Not directly comparable
CharXiv
Not directly comparable
OmniDocBench 1.5
Not directly comparable
OCRBench V2
Not directly comparable
CC-OCR
Not directly comparable
RealWorldQA
Not directly comparable
ERQA
Not directly comparable
SimpleVQA
Not directly comparable
PerceptionBench
Not directly comparable
Video-MME (with subtitle)
Not directly comparable
VideoMMMU
Not directly comparable
MMVU
Not directly comparable
MLVU (M-Avg)
Not directly comparable
LVBench
Not directly comparable
GPQA
Qwen3.8 Max leads this result
GPQA-D
Qwen3.8 Max leads this result
HLE
Qwen3.8 Max leads this result
HLE w/o tools
Not directly comparable
GPQA Diamond (Vals)
Not directly comparable
MMLU-Pro (Vals)
Not directly comparable
IFBench
Not directly comparable
Apex
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Shared sourceQwen3.8 Max leads this result
FrontierMath v2 (Tier 4)
Shared sourceQwen3.8 Max leads this result
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Last updated October 25, 2026
