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Morph V3 Large vs Relace Apply 3

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Morph V3 Large Replace Relace Apply 3
Morph V3 LargeMorph
Coding
No data
Overall
No data
Output $/M
$1.90
Relace Apply 3Relace
Coding
No data
Overall
No data
Output $/M
$1.25
vs $1.90 vs $1.25 per 1M output tokens. Relace Apply 3 is 1.5x cheaper.

Decision reading

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

Morph V3 Large has the edge where the context window is larger, 262K against 256K tokens.

Model AMorph V3 LargeMorphNot benchmarkedNo coding benchmarkNo cost per solved taskModel BRelace Apply 3RelaceNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
0
Morph V3 Large only
0
Relace Apply 3 only
0
Like-for-like categories
0 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
Morph V3 Large not benchmarked, Relace Apply 3 not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Morph V3 Large $1.90 against Relace Apply 3 $1.25 per million output tokens, 1.5x apart.
Context window
Morph V3 Large takes 262K tokens, Relace Apply 3 256K.

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.

CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for Morph V3 Large and Relace Apply 3
BenchmarkMorph V3 LargeRelace Apply 3Leader
Neither model has a result on 38 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for Morph V3 Large and Relace Apply 3
BenchmarkMorph V3 LargeRelace Apply 3Leader
Neither model has a result on 2 boards here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Morph V3 Large and Relace Apply 3
BenchmarkMorph V3 LargeRelace Apply 3Leader
Neither model has a result on 39 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for Morph V3 Large and Relace Apply 3
BenchmarkMorph V3 LargeRelace Apply 3Leader
Neither model has a result on 21 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Morph V3 Large and Relace Apply 3
BenchmarkMorph V3 LargeRelace Apply 3Leader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Morph V3 Large and Relace Apply 3
BenchmarkMorph V3 LargeRelace Apply 3Leader
Neither model has a result on 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Morph V3 Large and Relace Apply 3
BenchmarkMorph V3 LargeRelace Apply 3Leader
Neither model has a result on 9 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for Morph V3 Large and Relace Apply 3
BenchmarkMorph V3 LargeRelace Apply 3Leader
Neither model has a result on 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Morph V3 Large and Relace Apply 3
BenchmarkMorph V3 LargeRelace Apply 3Leader
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

Morph V3 Large$0.0019Fits in one request
Relace Apply 3$0.0015Fits in one request

Relace Apply 3 costs less

Repository review

50K input + 3K output tokens

Morph V3 Large$0.051Fits in one request
Relace Apply 3$0.046Fits in one request

Relace Apply 3 costs less

Agent loop

200K input + 10K output tokens

Morph V3 Large$0.199Fits in one request
Relace Apply 3$0.182Fits in one request

Relace Apply 3 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 Morph V3 Large and Relace Apply 3
SpecificationMorph V3 LargeRelace Apply 3
MakerMorphRelace
WeightsNo public weights listedNo public weights listed
ReleasedJuly 7, 2025September 26, 2025
Context window262K256K
Input $/Mtok$0.90$0.85
Output $/Mtok$1.90$1.25
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Morph V3 Large better than Relace Apply 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Morph V3 Large has the edge where the context window is larger, 262K against 256K tokens.

Which is cheaper, Morph V3 Large or Relace Apply 3?

Morph V3 Large costs $0.90 per million input tokens and $1.90 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, Morph V3 Large or Relace Apply 3?

Morph V3 Large, with 262K tokens against 256K.

How many benchmarks is the Morph V3 Large vs Relace Apply 3 comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Morph V3 Large's coding index rests on 0 independent benchmarks and Relace Apply 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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