Enter opens the highlighted result. Esc closes.

Pareto 26.10 vs Pareto 26.10 Preview

Pareto 26.10 and Pareto 26.10 Preview cost about the same per output token ($3.20 vs $3.20 per million). Updated November 14, 2026; 1 benchmarks have a result for both.

U Pareto 26.10Unbiased
Coding
No data
Overall
No data
Output $/M
$3.20
1
U Pareto 26.10 PreviewUnbiased
Coding
No data
Overall
No data
Output $/M
$3.20
0
vs boards won of 1 shared

Pareto 26.10 or Pareto 26.10 Preview: 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.

Shared results
1
Pareto 26.10 only
0
Pareto 26.10 Preview only
0
Like-for-like categories
1 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
Pareto 26.10 not benchmarked, Pareto 26.10 Preview not benchmarked.
Widest category
Coding, 1.4 points apart on average over 1 shared benchmark.
Widest single gap
GameBench 2: Pareto 26.10 89.7 against Pareto 26.10 Preview 88.3, 1.4 points apart on a 0 to 100 scale.
Output price
Both cost $3.20 per million output tokens.
Context window
Both take 1.05M tokens.

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
CategoryPareto 26.10BarsPareto 26.10 PreviewTies
Coding10
All shared boards10
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Pareto 26.10 and Pareto 26.10 Preview
BenchmarkPareto 26.10Pareto 26.10 PreviewLeader
GameBench 289.788.3Pareto 26.10
Neither model has a result on the other 51 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for Pareto 26.10 and Pareto 26.10 Preview
BenchmarkPareto 26.10Pareto 26.10 PreviewLeader
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 Pareto 26.10 and Pareto 26.10 Preview
BenchmarkPareto 26.10Pareto 26.10 PreviewLeader
Neither model has a result on 44 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for Pareto 26.10 and Pareto 26.10 Preview
BenchmarkPareto 26.10Pareto 26.10 PreviewLeader
Neither model has a result on 26 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Pareto 26.10 and Pareto 26.10 Preview
BenchmarkPareto 26.10Pareto 26.10 PreviewLeader
Neither model has a result on 14 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Pareto 26.10 and Pareto 26.10 Preview
BenchmarkPareto 26.10Pareto 26.10 PreviewLeader
Neither model has a result on 21 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Pareto 26.10 and Pareto 26.10 Preview
BenchmarkPareto 26.10Pareto 26.10 PreviewLeader
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 Pareto 26.10 and Pareto 26.10 Preview
BenchmarkPareto 26.10Pareto 26.10 PreviewLeader
Neither model has a result on 49 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Pareto 26.10 and Pareto 26.10 Preview
BenchmarkPareto 26.10Pareto 26.10 PreviewLeader
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

Pareto 26.10$0.0024Fits in one request
Pareto 26.10 Preview$0.0024Fits in one request

Same cost

Repository review

50K input + 3K output tokens

Pareto 26.10$0.050Fits in one request
Pareto 26.10 Preview$0.050Fits in one request

Same cost

Agent loop

200K input + 10K output tokens

Pareto 26.10$0.192Fits in one request
Pareto 26.10 Preview$0.192Fits in one request

Same cost

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 Pareto 26.10 and Pareto 26.10 Preview
SpecificationPareto 26.10Pareto 26.10 Preview
MakerUnbiasedUnbiased
WeightsNo public weights listedNo public weights listed
ReleasedOctober 15, 2026October 1, 2026
Context window1.05M1.05M
Input $/Mtok$0.80$0.80
Output $/Mtok$3.20$3.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Pareto 26.10 better than Pareto 26.10 Preview 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, Pareto 26.10 or Pareto 26.10 Preview?

Pareto 26.10 costs $0.80 per million input tokens and $3.20 per million output tokens; Pareto 26.10 Preview costs $0.80 and $3.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Pareto 26.10 or Pareto 26.10 Preview?

Neither: both take 1.05M tokens.

How many benchmarks is the Pareto 26.10 vs Pareto 26.10 Preview comparison based on?

1 benchmarks have a result for both models as of November 14, 2026. Pareto 26.10's coding index rests on 0 independent benchmarks and Pareto 26.10 Preview's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next