Qwen3 235B A22B Thinking 2507 vs Relace Apply 3

Relace Apply 3 costs 2.8x less per output token than Qwen3 235B A22B Thinking 2507 ($1.25 vs $3.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Qwen3 235B A22B Thinking 2507 Replace Relace Apply 3

Qwen3 235B A22B Thinking 2507Qwen

Coding: No data
Overall: 52.9
Output $/M: $3.50

Relace Apply 3Relace

Coding: No data
Overall: No data
Output $/M: $1.25

vs $3.50 vs $1.25 per 1M output tokens. Relace Apply 3 is 2.8x cheaper.

Qwen3 235B A22B Thinking 2507 or Relace Apply 3: which to pick

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

Compare them on price, context and the boards below.

Model AQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task Model BRelace Apply 3RelaceNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Qwen3 235B A22B Thinking 2507 has results on AA Coding Index, WeirdML and LMArena Text: coding; Relace Apply 3 has none yet. Compare them on price and context instead.

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
No call
Only Qwen3 235B A22B Thinking 2507 has a AA Intelligence Index result, 12.7.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3 235B A22B Thinking 2507 has a AA Agentic Index result, 1.3.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3 235B A22B Thinking 2507 has a Design Arena: websites result, 1052.
Directional only
Long documents
Listed context window
Relace Apply 3
Relace Apply 3 takes 256K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Relace Apply 3
Qwen3 235B A22B Thinking 2507 $0.0022, Relace Apply 3 $0.0015 per turn.
List prices

At a glance

Coding index: Qwen3 235B A22B Thinking 2507 not benchmarked, Relace Apply 3 not benchmarked.
Widest category: None yet: no category has been tested on both models.
Widest single gap: None yet: no benchmark has tested both models.
Output price: Qwen3 235B A22B Thinking 2507 $3.50 against Relace Apply 3 $1.25 per million output tokens, 2.8x apart.
Context window: Qwen3 235B A22B Thinking 2507 takes 128K tokens, Relace Apply 3 256K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards measured

Coding benchmarks for Qwen3 235B A22B Thinking 2507 and Relace Apply 3
Benchmark	Qwen3 235B A22B Thinking 2507	Relace Apply 3	Leader
AA Coding Index	22.1	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
WeirdML	41.0%	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: coding	1424	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: software and IT	1431	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 39 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Intelligence benchmarks for Qwen3 235B A22B Thinking 2507 and Relace Apply 3
Benchmark	Qwen3 235B A22B Thinking 2507	Relace Apply 3	Leader
AA Intelligence Index	12.7	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 1 board here

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured

Agentic work benchmarks for Qwen3 235B A22B Thinking 2507 and Relace Apply 3
Benchmark	Qwen3 235B A22B Thinking 2507	Relace Apply 3	Leader
AA Agentic Index	1.3	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Vending-Bench 2	-$11	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 40 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured

Reasoning benchmarks for Qwen3 235B A22B Thinking 2507 and Relace Apply 3
Benchmark	Qwen3 235B A22B Thinking 2507	Relace Apply 3	Leader
GPQA Diamond (Epoch AI run)	80.1%	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Mystery game puzzles	9.0%	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts	1416	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: expert	1463	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts in English	1432	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 18 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured

Math benchmarks for Qwen3 235B A22B Thinking 2507 and Relace Apply 3
Benchmark	Qwen3 235B A22B Thinking 2507	Relace Apply 3	Leader
OTIS Mock AIME	86.7%	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: math	1412	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: mathematical work	1435	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 11 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured

Knowledge benchmarks for Qwen3 235B A22B Thinking 2507 and Relace Apply 3
Benchmark	Qwen3 235B A22B Thinking 2507	Relace Apply 3	Leader
SimpleQA Verified	40.4%	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: science	1433	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: medicine and healthcare	1456	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: legal and government	1415	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: business and finance	1413	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 15 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured

Web design benchmarks for Qwen3 235B A22B Thinking 2507 and Relace Apply 3
Benchmark	Qwen3 235B A22B Thinking 2507	Relace Apply 3	Leader
Design Arena: websites	1052	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: UI components	942	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: game dev	956	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: data viz	950	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: 3D	997	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: all code categories	1032	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 3 boards here

GeneralDirectional onlyPublic boards, shown as published, kept out of the index20 boards measured

General benchmarks for Qwen3 235B A22B Thinking 2507 and Relace Apply 3
Benchmark	Qwen3 235B A22B Thinking 2507	Relace Apply 3	Leader
DTBench	80.3%	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMCA	29.3%	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Fiction.LiveBench	75.0%	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Creative writing (Lech Mazur)	82.4%	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text	1415	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: instruction following	1386	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: creative writing	1384	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: English	1429	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: non-English	1397	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: Chinese	1481	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: German	1408	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: Japanese	1386	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: Korean	1375	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: Spanish	1389	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: Russian	1401	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: Polish	1390	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: multi-turn	1406	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: longer queries	1400	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: writing and language	1388	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: entertainment and media	1370	Not measured	Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 28 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

Qwen3 235B A22B Thinking 2507$0.0022Fits in one request

Relace Apply 3$0.0015Fits in one request

Relace Apply 3 costs less

Repository review

50K input + 3K output tokens

Qwen3 235B A22B Thinking 2507$0.033Fits in one request

Relace Apply 3$0.046Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Agent loop

200K input + 10K output tokens

Qwen3 235B A22B Thinking 2507$0.125Exceeds the context window

Relace Apply 3$0.182Fits in one request

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 Qwen3 235B A22B Thinking 2507 and Relace Apply 3
Specification	Qwen3 235B A22B Thinking 2507	Relace Apply 3
Maker	Qwen	Relace
Weights	Open weights	No public weights listed
Released	July 25, 2025	September 26, 2025
Context window	128K	256K
Input $/Mtok	$0.45	$0.85
Output $/Mtok	$3.50	$1.25
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 Qwen3 235B A22B Thinking 2507 better than Relace Apply 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Qwen3 235B A22B Thinking 2507 or Relace Apply 3?

Qwen3 235B A22B Thinking 2507 costs $0.45 per million input tokens and $3.50 per million output tokens; Relace Apply 3 costs $0.85 and $1.25. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3 235B A22B Thinking 2507 or Relace Apply 3?

Relace Apply 3, with 256K tokens against 128K.

Has any benchmark tested both Qwen3 235B A22B Thinking 2507 and Relace Apply 3?

Qwen3 235B A22B Thinking 2507 or Relace Apply 3: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Web design

Long documents

Everyday cost