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DeepSeek V4 Pro 0813 vs Qwen3.8 27B

Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Pro 0813 Replace Qwen3.8 27B
DeepSeek V4 Pro 0813DeepSeek
Coding
54.6
Overall
36.0
Output $/M
$1.98
40
Qwen3.8 27BQwen
Coding
73.6
Overall
33.7
Output $/M
$1.35
21
vs boards won of 62 shared, 1 tied

Decision reading

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 54.6 for DeepSeek V4 Pro 0813.

Pick DeepSeek V4 Pro 0813 when a solved task costs $0.10 against $1.26, or when the context window is larger, 1.05M against 1M tokens.

Model ADeepSeek V4 Pro 0813DeepSeek54.6/1001 independent benchmark$0.10 per solved taskModel BQwen3.8 27BQwen73.6/1002 independent benchmarks$1.26 per solved task
Shared results
62
DeepSeek V4 Pro 0813 only
16
Qwen3.8 27B only
23
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
DeepSeek V4 Pro 0813 54.6 from 1 benchmark, Qwen3.8 27B 73.6 from 2 benchmarks.
Widest category
Math, 12.9 points apart on average over 3 shared benchmarks.
Widest single gap
ProofBench: DeepSeek V4 Pro 0813 50.0% against Qwen3.8 27B 16.0%, 34.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against Qwen3.8 27B $1.35 per million output tokens, 1.5x apart.
Context window
DeepSeek V4 Pro 0813 takes 1.05M tokens, Qwen3.8 27B 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryDeepSeek V4 Pro 0813BarsQwen3.8 27BTies
Coding961 tie
Intelligence20
Agentic work34
Reasoning62
Math12
Knowledge62
General135
All shared boards40211 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index96
Coding benchmarks for DeepSeek V4 Pro 0813 and Qwen3.8 27B
BenchmarkDeepSeek V4 Pro 0813Qwen3.8 27BLeader
LiveBench codingNot measured86.8%Only Qwen3.8 27B measured
LMArena WebDev15821593Qwen3.8 27B
AA Coding Index68.868.1DeepSeek V4 Pro 0813
LiveCodeBench (Vals AI)87.5%84.0%DeepSeek V4 Pro 0813
SWE-bench Verified (Vals AI)96.4%86.0%DeepSeek V4 Pro 0813
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%64.8%DeepSeek V4 Pro 0813
Code migration (Vals AI)41.5%14.2%DeepSeek V4 Pro 0813
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)51.6%39.1%DeepSeek V4 Pro 0813
Terminal-Bench 2.1 (Vals AI)54.7%58.4%Qwen3.8 27B
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%38.1%DeepSeek V4 Pro 0813
CyberBench (Vals AI)72.9%67.8%DeepSeek V4 Pro 0813
SciCode51.0%46.6%DeepSeek V4 Pro 0813
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
ALE-Bench1403.2Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: coding14691483Qwen3.8 27B
LMArena Text: software and IT14621478Qwen3.8 27B
LMArena WebDev: React15881602Qwen3.8 27B
LMArena WebDev: HTML15661570Qwen3.8 27B
LMArena WebDev: from an imageNot measured1577Only Qwen3.8 27B measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0813 and Qwen3.8 27B
BenchmarkDeepSeek V4 Pro 0813Qwen3.8 27BLeader
AA Intelligence Index36.033.7DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6151.7DeepSeek V4 Pro 0813
Agentic workLike-for-likePublic boards, shown as published, kept out of the index34
Agentic work benchmarks for DeepSeek V4 Pro 0813 and Qwen3.8 27B
BenchmarkDeepSeek V4 Pro 0813Qwen3.8 27BLeader
AA Agentic Index41.345.8Qwen3.8 27B
LiveBench researchNot measured59.4%Only Qwen3.8 27B measured
LiveBench browserNot measured32.0%Only Qwen3.8 27B measured
LiveBench long agenticNot measured27.9%Only Qwen3.8 27B measured
SREBench (Vals AI)1.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)50.4%48.5%DeepSeek V4 Pro 0813
Tax Agent Bench (Vals AI)26.8%30.9%Qwen3.8 27B
Legal Research Bench (Vals AI)40.9%36.1%DeepSeek V4 Pro 0813
Harvey's Legal Agent Benchmark (Vals AI)10.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)52.8%59.7%Qwen3.8 27B
Terminal-Bench-Science (Vals AI)4.3%0.0%DeepSeek V4 Pro 0813
APEX-Agents47.3%47.5%Qwen3.8 27B
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index62
Reasoning benchmarks for DeepSeek V4 Pro 0813 and Qwen3.8 27B
BenchmarkDeepSeek V4 Pro 0813Qwen3.8 27BLeader
GPQA Diamond92.4%88.9%DeepSeek V4 Pro 0813
LiveBench reasoningNot measured80.0%Only Qwen3.8 27B measured
MMMU Pro (Vals AI)Not measured83.9%Only Qwen3.8 27B measured
GPQA Diamond (Artificial Analysis run)92.8%90.5%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%33.9%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI90.5%87.5%DeepSeek V4 Pro 0813
ARC-AGI-261.3%42.4%DeepSeek V4 Pro 0813
Chess puzzles46.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Mystery game puzzles43.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: hard prompts14581459Qwen3.8 27B
LMArena Text: expert14591479Qwen3.8 27B
LMArena Text: hard prompts in English14631461DeepSeek V4 Pro 0813
LMArena Vision: diagramsNot measured1285Only Qwen3.8 27B measured
LMArena Vision: homeworkNot measured1295Only Qwen3.8 27B measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for DeepSeek V4 Pro 0813 and Qwen3.8 27B
BenchmarkDeepSeek V4 Pro 0813Qwen3.8 27BLeader
OTIS Mock AIME98.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tiers 1 to 364.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tier 426.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
ProofBench50.0%16.0%DeepSeek V4 Pro 0813
LMArena Text: math14411455Qwen3.8 27B
LMArena Text: mathematical work14431458Qwen3.8 27B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index62
Knowledge benchmarks for DeepSeek V4 Pro 0813 and Qwen3.8 27B
BenchmarkDeepSeek V4 Pro 0813Qwen3.8 27BLeader
MMLU Pro87.0%84.3%DeepSeek V4 Pro 0813
LegalBench (Vals AI)82.4%82.4%Qwen3.8 27B
CorpFin (Vals AI)65.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
TaxEval (Vals AI)73.1%70.8%DeepSeek V4 Pro 0813
MortgageTax (Vals AI)Not measured64.9%Only Qwen3.8 27B measured
MedCode (Vals AI)42.5%28.7%DeepSeek V4 Pro 0813
SimpleQA Verified52.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: science14571467Qwen3.8 27B
LMArena Text: medicine and healthcare14461437DeepSeek V4 Pro 0813
LMArena Text: legal and government14591447DeepSeek V4 Pro 0813
LMArena Text: business and finance14421438DeepSeek V4 Pro 0813
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and Qwen3.8 27B
BenchmarkDeepSeek V4 Pro 0813Qwen3.8 27BLeader
LiveBench designNot measured75.9%Only Qwen3.8 27B measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index135
General benchmarks for DeepSeek V4 Pro 0813 and Qwen3.8 27B
BenchmarkDeepSeek V4 Pro 0813Qwen3.8 27BLeader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LiveBench data analysisNot measured76.6%Only Qwen3.8 27B measured
SAGE (Vals AI)Not measured52.4%Only Qwen3.8 27B measured
MedScribe (Vals AI)80.2%83.8%Qwen3.8 27B
Long context reasoning (AA-LCR)80.3%82.0%Qwen3.8 27B
DTBench93.9%88.0%DeepSeek V4 Pro 0813
LMCA45.5%41.4%DeepSeek V4 Pro 0813
Surface Evolver BenchNot measured45.0%Only Qwen3.8 27B measured
LMArena Text14461440DeepSeek V4 Pro 0813
LMArena Text: instruction following14481436DeepSeek V4 Pro 0813
LMArena Text: creative writing14391383DeepSeek V4 Pro 0813
LMArena VisionNot measured1269Only Qwen3.8 27B measured
LMArena Text: English14571448DeepSeek V4 Pro 0813
LMArena Text: non-English14311428DeepSeek V4 Pro 0813
LMArena Text: Chinese14811501Qwen3.8 27B
LMArena Text: GermanNot measured1443Only Qwen3.8 27B measured
LMArena Text: JapaneseNot measured1387Only Qwen3.8 27B measured
LMArena Text: Korean14491384DeepSeek V4 Pro 0813
LMArena Text: French14461465Qwen3.8 27B
LMArena Text: Spanish14351449Qwen3.8 27B
LMArena Text: Russian14481415DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1439Only Qwen3.8 27B measured
LMArena Text: multi-turn14541440DeepSeek V4 Pro 0813
LMArena Text: longer queries14581448DeepSeek V4 Pro 0813
LMArena Text: writing and language14431405DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241393DeepSeek V4 Pro 0813
LMArena Vision: EnglishNot measured1267Only Qwen3.8 27B measured
LMArena Vision: ChineseNot measured1326Only Qwen3.8 27B measured
LMArena Vision: reading textNot measured1281Only Qwen3.8 27B measured
LMArena Vision: humorNot measured1235Only Qwen3.8 27B measured
LMArena Vision: creative writingNot measured1237Only Qwen3.8 27B measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0813 and Qwen3.8 27B
BenchmarkDeepSeek V4 Pro 0813Qwen3.8 27BLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V4 Pro 0813$0.0016Fits in one request
Qwen3.8 27B$0.0007Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request
Qwen3.8 27B$0.0060Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request
Qwen3.8 27B$0.021Fits in one request

Qwen3.8 27B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V4 Pro 0813 and Qwen3.8 27B
SpecificationDeepSeek V4 Pro 0813Qwen3.8 27B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedAugust 12, 2026August 14, 2026
Context window1.05M1M
Input $/Mtok$0.66$0.04
Output $/Mtok$1.98$1.35
Coding index54.673.6
Independent measurements behind it12
Cost per solved task$0.10$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than Qwen3.8 27B for coding?

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 54.6 for DeepSeek V4 Pro 0813. Pick DeepSeek V4 Pro 0813 when a solved task costs $0.10 against $1.26, or when the context window is larger, 1.05M against 1M tokens.

Which is cheaper, DeepSeek V4 Pro 0813 or Qwen3.8 27B?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and Qwen3.8 27B $1.26.

Which has the bigger context window, DeepSeek V4 Pro 0813 or Qwen3.8 27B?

DeepSeek V4 Pro 0813, with 1.05M tokens against 1M.

How many benchmarks is the DeepSeek V4 Pro 0813 vs Qwen3.8 27B comparison based on?

62 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0813's coding index rests on 1 independent benchmark and Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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