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DeepSeek V4 Pro 0813 vs Qwen3 235B A22B Thinking 2507

DeepSeek V4 Pro 0813 leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 36.0 to 12.7, and DeepSeek V4 Pro 0813 costs 1.8x less per output token ($1.98 vs $3.50 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
60.8
Output $/M
$1.98
32
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
2
vs boards won of 34 shared

DeepSeek V4 Pro 0813 or Qwen3 235B A22B Thinking 2507: which to pick

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding.

Pick Qwen3 235B A22B Thinking 2507 for work measured by LMArena Text: expert or LMArena Text: medicine and healthcare, where it leads.

Shared results
34
DeepSeek V4 Pro 0813 only
44
Qwen3 235B A22B Thinking 2507 only
12
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 56.1 from 5 benchmarks, Qwen3 235B A22B Thinking 2507 not benchmarked.
Widest category
Agentic work, 40.0 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: DeepSeek V4 Pro 0813 68.8 against Qwen3 235B A22B Thinking 2507 22.1, 46.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 1.8x apart.
Context window
DeepSeek V4 Pro 0813 takes 1.05M tokens, Qwen3 235B A22B Thinking 2507 128K.

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 235B A22B Thinking 2507Ties
Coding40
Intelligence10
Agentic work10
Reasoning41
Math30
Knowledge41
General150
All shared boards322
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Pro 0813 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507Leader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Pro 0813 measured
AA Coding Index68.822.1DeepSeek V4 Pro 0813
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
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%41.0%DeepSeek V4 Pro 0813
ALE-Bench1403.2Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: coding14691424DeepSeek V4 Pro 0813
LMArena Text: software and IT14621431DeepSeek V4 Pro 0813
LMArena WebDev: React1588Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena WebDev: HTML1566Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Pro 0813 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507Leader
AA Intelligence Index36.012.7DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6Not measuredOnly DeepSeek V4 Pro 0813 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Pro 0813 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507Leader
AA Agentic Index41.31.3DeepSeek V4 Pro 0813
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
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vending-Bench 2Not measured-$11Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index41
Reasoning benchmarks for DeepSeek V4 Pro 0813 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507Leader
GPQA Diamond92.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
GPQA Diamond (Artificial Analysis run)92.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Humanity's Last Exam (Artificial Analysis run)41.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
GPQA Diamond (Epoch AI run)91.7%80.1%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%9.0%DeepSeek V4 Pro 0813
LMArena Text: hard prompts14581416DeepSeek V4 Pro 0813
LMArena Text: expert14591463Qwen3 235B A22B Thinking 2507
LMArena Text: hard prompts in English14631432DeepSeek V4 Pro 0813
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V4 Pro 0813 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507Leader
OTIS Mock AIME98.6%86.7%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: math14411412DeepSeek V4 Pro 0813
LMArena Text: mathematical work14431435DeepSeek V4 Pro 0813
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for DeepSeek V4 Pro 0813 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507Leader
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%40.4%DeepSeek V4 Pro 0813
LMArena Text: science14571433DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare14461456Qwen3 235B A22B Thinking 2507
LMArena Text: legal and government14591415DeepSeek V4 Pro 0813
LMArena Text: business and finance14421413DeepSeek V4 Pro 0813
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507Leader
Design Arena: websitesNot measured1052Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: UI componentsNot measured942Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: game devNot measured956Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: data vizNot measured950Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: 3DNot measured997Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: all code categoriesNot measured1032Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for DeepSeek V4 Pro 0813 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507Leader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedScribe (Vals AI)80.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
Long context reasoning (AA-LCR)80.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
DTBench93.9%80.3%DeepSeek V4 Pro 0813
LMCA45.5%29.3%DeepSeek V4 Pro 0813
Fiction.LiveBenchNot measured75.0%Only Qwen3 235B A22B Thinking 2507 measured
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text14461415DeepSeek V4 Pro 0813
LMArena Text: instruction following14481386DeepSeek V4 Pro 0813
LMArena Text: creative writing14391384DeepSeek V4 Pro 0813
LMArena Text: English14571429DeepSeek V4 Pro 0813
LMArena Text: non-English14311397DeepSeek V4 Pro 0813
LMArena Text: Chinese14811481DeepSeek V4 Pro 0813
LMArena Text: GermanNot measured1408Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: JapaneseNot measured1386Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: Korean14491375DeepSeek V4 Pro 0813
LMArena Text: French1446Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: Spanish14351389DeepSeek V4 Pro 0813
LMArena Text: Russian14481401DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1390Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: multi-turn14541406DeepSeek V4 Pro 0813
LMArena Text: longer queries14581400DeepSeek V4 Pro 0813
LMArena Text: writing and language14431388DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241370DeepSeek V4 Pro 0813
Neither model has a result on the other 24 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 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507Leader
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 235B A22B Thinking 2507$0.0022Fits in one request

DeepSeek V4 Pro 0813 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request
Qwen3 235B A22B Thinking 2507$0.033Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request
Qwen3 235B A22B Thinking 2507$0.125Exceeds the context window

Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507
SpecificationDeepSeek V4 Pro 0813Qwen3 235B A22B Thinking 2507
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedAugust 12, 2026July 25, 2025
Context window1.05M128K
Input $/Mtok$0.66$0.45
Output $/Mtok$1.98$3.50
Coding index56.1Not benchmarked
Independent measurements behind it50
Cost per solved task$0.10Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than Qwen3 235B A22B Thinking 2507 for coding?

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Thinking 2507 for work measured by LMArena Text: expert or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, DeepSeek V4 Pro 0813 or Qwen3 235B A22B Thinking 2507?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for DeepSeek V4 Pro 0813 only.

Which has the bigger context window, DeepSeek V4 Pro 0813 or Qwen3 235B A22B Thinking 2507?

DeepSeek V4 Pro 0813, with 1.05M tokens against 128K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs Qwen3 235B A22B Thinking 2507 comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813's coding index rests on 5 independent benchmarks and Qwen3 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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