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o3 Mini High vs Laguna S 2.1

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 o3 Mini High Replace Laguna S 2.1
o3 Mini HighOpenAI
Coding
No data
Overall
11.0
Output $/M
$4.40
P Laguna S 2.1Poolside
Coding
No data
Overall
No data
Output $/M
$0.18
vs $4.40 vs $0.18 per 1M output tokens. Laguna S 2.1 is 24.4x cheaper.

Decision reading

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 Ao3 Mini HighOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BLaguna S 2.1PoolsideNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
0
o3 Mini High only
3
Laguna S 2.1 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
o3 Mini High not benchmarked, Laguna S 2.1 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
o3 Mini High $4.40 against Laguna S 2.1 $0.18 per million output tokens, 24.4x apart.
Context window
o3 Mini High takes 200K tokens, Laguna S 2.1 1.05M.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board, none shared
Coding benchmarks for o3 Mini High and Laguna S 2.1
Benchmarko3 Mini HighLaguna S 2.1Leader
AA Coding Index16.3Not measuredOnly o3 Mini High measured
Neither model has a result on the other 37 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for o3 Mini High and Laguna S 2.1
Benchmarko3 Mini HighLaguna S 2.1Leader
AA Intelligence Index11.0Not measuredOnly o3 Mini High measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for o3 Mini High and Laguna S 2.1
Benchmarko3 Mini HighLaguna S 2.1Leader
AA Agentic Index0.9Not measuredOnly o3 Mini High measured
Neither model has a result on the other 38 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for o3 Mini High and Laguna S 2.1
Benchmarko3 Mini HighLaguna S 2.1Leader
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 o3 Mini High and Laguna S 2.1
Benchmarko3 Mini HighLaguna S 2.1Leader
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 o3 Mini High and Laguna S 2.1
Benchmarko3 Mini HighLaguna S 2.1Leader
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 o3 Mini High and Laguna S 2.1
Benchmarko3 Mini HighLaguna S 2.1Leader
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 o3 Mini High and Laguna S 2.1
Benchmarko3 Mini HighLaguna S 2.1Leader
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 o3 Mini High and Laguna S 2.1
Benchmarko3 Mini HighLaguna S 2.1Leader
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

o3 Mini High$0.0033Fits in one request
Laguna S 2.1$0.0002Fits in one request

Laguna S 2.1 costs less

Repository review

50K input + 3K output tokens

o3 Mini High$0.068Fits in one request
Laguna S 2.1$0.0050Fits in one request

Laguna S 2.1 costs less

Agent loop

200K input + 10K output tokens

o3 Mini High$0.264Exceeds the context window
Laguna S 2.1$0.020Fits in one request

Laguna S 2.1 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 o3 Mini High and Laguna S 2.1
SpecificationOpenAI o3 Mini HighPoolside Laguna S 2.1
MakerOpenAIPoolside
WeightsNo public weights listedOpen weights
ReleasedFebruary 12, 2025July 21, 2026
Context window200K1.05M
Input $/Mtok$1.10$0.09
Output $/Mtok$4.40$0.18
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o3 Mini High better than Laguna S 2.1 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, o3 Mini High or Laguna S 2.1?

o3 Mini High costs $1.10 per million input tokens and $4.40 per million output tokens; Laguna S 2.1 costs $0.09 and $0.18. Cost per solved task is known for neither of them.

Which has the bigger context window, o3 Mini High or Laguna S 2.1?

Laguna S 2.1, with 1.05M tokens against 200K.

How many benchmarks is the o3 Mini High vs Laguna S 2.1 comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. o3 Mini High's coding index rests on 0 independent benchmarks and Laguna S 2.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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