DeepSeek V3 0324 vs Qwen3 235B A22B Instruct 2507

Qwen3 235B A22B Instruct 2507 leads DeepSeek V3 0324 on the Artificial Analysis Intelligence Index, 12.0 to 9.7, and Qwen3 235B A22B Instruct 2507 costs 1.4x less per output token ($0.775 vs $1.07 per million). Updated October 22, 2026; 15 benchmarks have a result for both.

Replace DeepSeek V3 0324 Replace Qwen3 235B A22B Instruct 2507

DeepSeek V3 0324DeepSeek

Coding: No data
Overall: No data
Output $/M: $1.07

Qwen3 235B A22B Instruct 2507Qwen

Coding: No data
Overall: No data
Output $/M: $0.775

vs boards won of 15 shared, 1 tied

DeepSeek V3 0324 or Qwen3 235B A22B Instruct 2507: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick DeepSeek V3 0324 for work measured by LiveCodeBench (Artificial Analysis run) or SciCode, where it leads.

Model ADeepSeek V3 0324DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved task Model BQwen3 235B A22B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task

15219

Shared results: 15
DeepSeek V3 0324 only: 21
Qwen3 235B A22B Instruct 2507 only: 9
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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Qwen3 235B A22B Instruct 2507
Qwen3 235B A22B Instruct 2507 leads, 12.0 against 9.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V3 0324 has a AA Agentic Index result, 0.8.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V3 0324 has a GPQA Diamond result, 61.6%.
Directional only
Math
AIME
No call
Only DeepSeek V3 0324 has a AIME result, 52.2%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V3 0324 has a MMLU Pro result, 79.5%.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3 235B A22B Instruct 2507 has a Design Arena: websites result, 1058.
Directional only
Long documents
Listed context window
Qwen3 235B A22B Instruct 2507
Qwen3 235B A22B Instruct 2507 takes 262K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 235B A22B Instruct 2507
DeepSeek V3 0324 $0.0008, Qwen3 235B A22B Instruct 2507 $0.0005 per turn.
List prices

At a glance

Coding index: DeepSeek V3 0324 not benchmarked, Qwen3 235B A22B Instruct 2507 not benchmarked.
Widest category: Math, 50.0 points apart on average over 2 shared benchmarks.
Widest single gap: AA Math Index: DeepSeek V3 0324 41.0 against Qwen3 235B A22B Instruct 2507 91.0, 50.0 points apart on a 0 to 100 scale.
Output price: DeepSeek V3 0324 $1.07 against Qwen3 235B A22B Instruct 2507 $0.775 per million output tokens, 1.4x apart.
Context window: DeepSeek V3 0324 takes 164K tokens, Qwen3 235B A22B Instruct 2507 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
Category	Qwen3 235B A22B Instruct 2507	Ties
Coding	3	1 tie
Intelligence	1
Agentic work	1
Reasoning	2
Math	2
Knowledge	1
General	4
All shared boards	14	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index03

Coding benchmarks for DeepSeek V3 0324 and Qwen3 235B A22B Instruct 2507
Benchmark	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507	Leader
SWE-bench Verified	42.0%	Not measured	Only DeepSeek V3 0324 measured
AA Coding Index	21.2	Not measured	Only DeepSeek V3 0324 measured
LiveCodeBench (Vals AI)	65.5%	Not measured	Only DeepSeek V3 0324 measured
LiveCodeBench (Artificial Analysis run)	40.5%	78.8%	Qwen3 235B A22B Instruct 2507
SciCode	39.0%	41.4%	Qwen3 235B A22B Instruct 2507
Terminal-Bench Hard (Artificial Analysis run)	15.2%	15.2%	Tie
WeirdML	36.1%	38.7%	Qwen3 235B A22B Instruct 2507
Neither model has a result on the other 36 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for DeepSeek V3 0324 and Qwen3 235B A22B Instruct 2507
Benchmark	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507	Leader
AA Intelligence Index	9.7	12.0	Qwen3 235B A22B Instruct 2507
Neither model has a result on the other 1 board here

Agentic workLike-for-likePublic boards, shown as published, kept out of the index01

Agentic work benchmarks for DeepSeek V3 0324 and Qwen3 235B A22B Instruct 2507
Benchmark	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507	Leader
AA Agentic Index	0.8	Not measured	Only DeepSeek V3 0324 measured
τ²-Bench Telecom	47.1%	53.2%	Qwen3 235B A22B Instruct 2507
METR time horizons	49.6%	Not measured	Only DeepSeek V3 0324 measured
Berkeley Function Calling Leaderboard (BFCL)	Not measured	52.1%	Only Qwen3 235B A22B Instruct 2507 measured
Neither model has a result on the other 38 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index02

Reasoning benchmarks for DeepSeek V3 0324 and Qwen3 235B A22B Instruct 2507
Benchmark	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507	Leader
GPQA Diamond	61.6%	Not measured	Only DeepSeek V3 0324 measured
GPQA Diamond (Artificial Analysis run)	65.5%	79.0%	Qwen3 235B A22B Instruct 2507
Humanity's Last Exam (Artificial Analysis run)	4.7%	15.9%	Qwen3 235B A22B Instruct 2507
GPQA Diamond (Epoch AI run)	67.6%	Not measured	Only DeepSeek V3 0324 measured
ARC-AGI	Not measured	11.0%	Only Qwen3 235B A22B Instruct 2507 measured
ARC-AGI-2	Not measured	1.3%	Only Qwen3 235B A22B Instruct 2507 measured
SimpleBench	27.2%	Not measured	Only DeepSeek V3 0324 measured
Neither model has a result on the other 16 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index02

Math benchmarks for DeepSeek V3 0324 and Qwen3 235B A22B Instruct 2507
Benchmark	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507	Leader
AIME	52.2%	Not measured	Only DeepSeek V3 0324 measured
MATH 500 (Vals AI)	88.6%	Not measured	Only DeepSeek V3 0324 measured
MGSM (Vals AI)	91.7%	Not measured	Only DeepSeek V3 0324 measured
AA Math Index	41.0	91.0	Qwen3 235B A22B Instruct 2507
AIME 2025 (Artificial Analysis run)	41.0%	91.0%	Qwen3 235B A22B Instruct 2507
OTIS Mock AIME	37.8%	Not measured	Only DeepSeek V3 0324 measured
MATH level 5	75.5%	Not measured	Only DeepSeek V3 0324 measured
MathArena	7.1%	Not measured	Only DeepSeek V3 0324 measured
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01

Knowledge benchmarks for DeepSeek V3 0324 and Qwen3 235B A22B Instruct 2507
Benchmark	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507	Leader
MMLU Pro	79.5%	Not measured	Only DeepSeek V3 0324 measured
LegalBench (Vals AI)	77.7%	Not measured	Only DeepSeek V3 0324 measured
CorpFin (Vals AI)	54.7%	Not measured	Only DeepSeek V3 0324 measured
TaxEval (Vals AI)	71.1%	Not measured	Only DeepSeek V3 0324 measured
MedQA (Vals AI)	82.0%	Not measured	Only DeepSeek V3 0324 measured
MMLU Pro (Artificial Analysis run)	81.9%	84.3%	Qwen3 235B A22B Instruct 2507
Neither model has a result on the other 14 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared

Web design benchmarks for DeepSeek V3 0324 and Qwen3 235B A22B Instruct 2507
Benchmark	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507	Leader
Design Arena: websites	Not measured	1058	Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: UI components	Not measured	963	Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: game dev	Not measured	951	Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: data viz	Not measured	1070	Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: 3D	Not measured	994	Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: all code categories	Not measured	1038	Only Qwen3 235B A22B Instruct 2507 measured
Neither model has a result on the other 3 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index04

General benchmarks for DeepSeek V3 0324 and Qwen3 235B A22B Instruct 2507
Benchmark	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507	Leader
IFBench	41.0%	51.2%	Qwen3 235B A22B Instruct 2507
Long context reasoning (AA-LCR)	40.7%	72.0%	Qwen3 235B A22B Instruct 2507
DTBench	64.8%	78.4%	Qwen3 235B A22B Instruct 2507
LMCA	15.5%	23.5%	Qwen3 235B A22B Instruct 2507
Fiction.LiveBench	50.0%	Not measured	Only DeepSeek V3 0324 measured
Creative writing (Lech Mazur)	77.0%	Not measured	Only DeepSeek V3 0324 measured
Neither model has a result on the other 42 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for DeepSeek V3 0324 and Qwen3 235B A22B Instruct 2507
Benchmark	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507	Leader
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 V3 0324$0.0008Fits in one request

Qwen3 235B A22B Instruct 2507$0.0005Fits in one request

Qwen3 235B A22B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3 0324$0.017Fits in one request

Qwen3 235B A22B Instruct 2507$0.0096Fits in one request

Qwen3 235B A22B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3 0324$0.065Exceeds the context window

Qwen3 235B A22B Instruct 2507$0.037Fits in one request

Qwen3 235B A22B Instruct 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 V3 0324 and Qwen3 235B A22B Instruct 2507
Specification	DeepSeek V3 0324	Qwen3 235B A22B Instruct 2507
Maker	DeepSeek	Qwen
Weights	Open weights	Open weights
Released	March 24, 2025	July 21, 2025
Context window	164K	262K
Input $/Mtok	$0.27	$0.145
Output $/Mtok	$1.07	$0.775
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	0	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V3 0324 better than Qwen3 235B A22B Instruct 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3 0324 for work measured by LiveCodeBench (Artificial Analysis run) or SciCode, where it leads.

Which is cheaper, DeepSeek V3 0324 or Qwen3 235B A22B Instruct 2507?

DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; Qwen3 235B A22B Instruct 2507 costs $0.145 and $0.775. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3 0324 or Qwen3 235B A22B Instruct 2507?

Qwen3 235B A22B Instruct 2507, with 262K tokens against 164K.

How many benchmarks is the DeepSeek V3 0324 vs Qwen3 235B A22B Instruct 2507 comparison based on?

15 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3 0324's coding index rests on 0 independent benchmarks and Qwen3 235B A22B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

DeepSeek V3 0324 or Qwen3 235B A22B Instruct 2507: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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