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DeepSeek V4 Pro 0813 vs Qwen3.5-35B-A3B

Updated October 21, 2026. 38 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 Qwen3.5-35B-A3B
DeepSeek V4 Pro 0813DeepSeek
Coding
54.6
Overall
36.0
Output $/M
$1.98
38
Qwen3.5-35B-A3BQwen
Coding
7.7
Overall
19.3
Output $/M
$1.00
0
vs boards won of 38 shared

Decision reading

Pick DeepSeek V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B.

Pick Qwen3.5-35B-A3B when output tokens cost 2.0x less.

Model ADeepSeek V4 Pro 0813DeepSeek54.6/1001 independent benchmark$0.10 per solved taskModel BQwen3.5-35B-A3BQwen7.7/1001 independent benchmarkNo cost per solved task
Shared results
38
DeepSeek V4 Pro 0813 only
40
Qwen3.5-35B-A3B only
7
Like-for-like categories
6 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, Qwen3.5-35B-A3B 7.7 from 1 benchmark.
Widest category
Coding, 34.4 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: DeepSeek V4 Pro 0813 1588 against Qwen3.5-35B-A3B 1238, 58.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against Qwen3.5-35B-A3B $1.00 per million output tokens, 2.0x apart.
Context window
DeepSeek V4 Pro 0813 takes 1.05M tokens, Qwen3.5-35B-A3B 262K.

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 0813BarsQwen3.5-35B-A3BTies
Coding60
Intelligence20
Reasoning60
Math30
Knowledge40
General170
All shared boards380
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for DeepSeek V4 Pro 0813 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Pro 0813Qwen3.5-35B-A3BLeader
LMArena WebDev15821254DeepSeek V4 Pro 0813
AA Coding Index68.8Not measuredOnly DeepSeek V4 Pro 0813 measured
LiveCodeBench (Vals AI)87.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SWE-bench Verified (Vals AI)96.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Code migration (Vals AI)41.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
IOI (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)72.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
SciCode51.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured26.5%Only Qwen3.5-35B-A3B measured
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
ALE-Bench1403.2221.8DeepSeek V4 Pro 0813
LMArena Text: coding14691410DeepSeek V4 Pro 0813
LMArena Text: software and IT14621415DeepSeek V4 Pro 0813
LMArena WebDev: React15881238DeepSeek V4 Pro 0813
LMArena WebDev: HTML15661301DeepSeek V4 Pro 0813
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0813 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Pro 0813Qwen3.5-35B-A3BLeader
AA Intelligence Index36.019.3DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6142.5DeepSeek V4 Pro 0813
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for DeepSeek V4 Pro 0813 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Pro 0813Qwen3.5-35B-A3BLeader
AA Agentic Index41.3Not measuredOnly DeepSeek V4 Pro 0813 measured
SREBench (Vals AI)1.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)50.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
Tax Agent Bench (Vals AI)26.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Legal Research Bench (Vals AI)40.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Harvey's Legal Agent Benchmark (Vals AI)10.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)52.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
τ²-Bench TelecomNot measured89.2%Only Qwen3.5-35B-A3B measured
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for DeepSeek V4 Pro 0813 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Pro 0813Qwen3.5-35B-A3BLeader
GPQA Diamond92.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
GPQA Diamond (Artificial Analysis run)92.8%84.5%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%21.0%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%83.5%DeepSeek V4 Pro 0813
ARC-AGI90.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI-261.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Chess puzzles46.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Mystery game puzzles43.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: hard prompts14581400DeepSeek V4 Pro 0813
LMArena Text: expert14591408DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English14631411DeepSeek V4 Pro 0813
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V4 Pro 0813 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Pro 0813Qwen3.5-35B-A3BLeader
OTIS Mock AIME98.6%70.0%DeepSeek V4 Pro 0813
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%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: math14411404DeepSeek V4 Pro 0813
LMArena Text: mathematical work14431410DeepSeek V4 Pro 0813
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Pro 0813 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Pro 0813Qwen3.5-35B-A3BLeader
MMLU Pro87.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LegalBench (Vals AI)82.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
CorpFin (Vals AI)65.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
TaxEval (Vals AI)73.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedCode (Vals AI)42.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SimpleQA Verified52.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: science14571413DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare14461421DeepSeek V4 Pro 0813
LMArena Text: legal and government14591399DeepSeek V4 Pro 0813
LMArena Text: business and finance14421394DeepSeek V4 Pro 0813
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Pro 0813Qwen3.5-35B-A3BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for DeepSeek V4 Pro 0813 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Pro 0813Qwen3.5-35B-A3BLeader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedScribe (Vals AI)80.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
IFBenchNot measured72.5%Only Qwen3.5-35B-A3B measured
Long context reasoning (AA-LCR)80.3%72.0%DeepSeek V4 Pro 0813
DTBench93.9%80.0%DeepSeek V4 Pro 0813
LMCA45.5%29.5%DeepSeek V4 Pro 0813
LMArena Text14461395DeepSeek V4 Pro 0813
LMArena Text: instruction following14481379DeepSeek V4 Pro 0813
LMArena Text: creative writing14391347DeepSeek V4 Pro 0813
LMArena Text: English14571407DeepSeek V4 Pro 0813
LMArena Text: non-English14311378DeepSeek V4 Pro 0813
LMArena Text: Chinese14811457DeepSeek V4 Pro 0813
LMArena Text: GermanNot measured1367Only Qwen3.5-35B-A3B measured
LMArena Text: JapaneseNot measured1326Only Qwen3.5-35B-A3B measured
LMArena Text: Korean14491355DeepSeek V4 Pro 0813
LMArena Text: French14461412DeepSeek V4 Pro 0813
LMArena Text: Spanish14351390DeepSeek V4 Pro 0813
LMArena Text: Russian14481376DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1385Only Qwen3.5-35B-A3B measured
LMArena Text: multi-turn14541390DeepSeek V4 Pro 0813
LMArena Text: longer queries14581389DeepSeek V4 Pro 0813
LMArena Text: writing and language14431365DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241347DeepSeek V4 Pro 0813
Neither model has a result on the other 23 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 Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Pro 0813Qwen3.5-35B-A3BLeader
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
Qwen3.5-35B-A3B$0.0006Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request
Qwen3.5-35B-A3B$0.010Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request
Qwen3.5-35B-A3B$0.038Fits in one request

Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B
SpecificationDeepSeek V4 Pro 0813Qwen3.5-35B-A3B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedAugust 12, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$0.66$0.14
Output $/Mtok$1.98$1.00
Coding index54.67.7
Independent measurements behind it11
Cost per solved task$0.10Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than Qwen3.5-35B-A3B for coding?

Pick DeepSeek V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B. Pick Qwen3.5-35B-A3B when output tokens cost 2.0x less.

Which is cheaper, DeepSeek V4 Pro 0813 or Qwen3.5-35B-A3B?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Qwen3.5-35B-A3B costs $0.14 and $1.00. Cost per solved task is known for DeepSeek V4 Pro 0813 only.

Which has the bigger context window, DeepSeek V4 Pro 0813 or Qwen3.5-35B-A3B?

DeepSeek V4 Pro 0813, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs Qwen3.5-35B-A3B comparison based on?

38 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 Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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