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o1-pro vs Sonar Reasoning Pro

Updated October 21, 2026. 1 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

o1-proOpenAI
Coding
No data
Overall
12.4
Output $/M
$600.00
1
Sonar Reasoning ProPerplexity
Coding
No data
Overall
11.8
Output $/M
$8.00
0
vs boards won of 1 shared

Decision reading

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

o1-pro has the edge where the context window is larger, 200K against 128K tokens.

Shared results
1
o1-pro only
1
Sonar Reasoning Pro only
0
Like-for-like categories
1 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
o1-pro not benchmarked, Sonar Reasoning Pro not benchmarked.
Widest category
Intelligence, 0.6 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: o1-pro 12.4 against Sonar Reasoning Pro 11.8, 0.6 points apart on a 0 to 100 scale.
Output price
o1-pro $600.00 against Sonar Reasoning Pro $8.00 per million output tokens, 75.0x apart.
Context window
o1-pro takes 200K tokens, Sonar Reasoning Pro 128K.

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
Categoryo1-proBarsSonar Reasoning ProTies
Intelligence10
All shared boards10
CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for o1-pro and Sonar Reasoning Pro
Benchmarko1-proSonar Reasoning ProLeader
Neither model has a result on 38 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for o1-pro and Sonar Reasoning Pro
Benchmarko1-proSonar Reasoning ProLeader
AA Intelligence Index12.411.8o1-pro
Neither model has a result on the other 1 board here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for o1-pro and Sonar Reasoning Pro
Benchmarko1-proSonar Reasoning ProLeader
Neither model has a result on 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Reasoning benchmarks for o1-pro and Sonar Reasoning Pro
Benchmarko1-proSonar Reasoning ProLeader
ARC-AGI23.3%Not measuredOnly o1-pro measured
Neither model has a result on the other 20 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for o1-pro and Sonar Reasoning Pro
Benchmarko1-proSonar Reasoning ProLeader
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 o1-pro and Sonar Reasoning Pro
Benchmarko1-proSonar Reasoning ProLeader
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 o1-pro and Sonar Reasoning Pro
Benchmarko1-proSonar Reasoning ProLeader
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 o1-pro and Sonar Reasoning Pro
Benchmarko1-proSonar Reasoning ProLeader
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 o1-pro and Sonar Reasoning Pro
Benchmarko1-proSonar Reasoning ProLeader
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

o1-pro$0.450Fits in one request
Sonar Reasoning Pro$0.0060Fits in one request

Sonar Reasoning Pro costs less

Repository review

50K input + 3K output tokens

o1-pro$9.30Fits in one request
Sonar Reasoning Pro$0.124Fits in one request

Sonar Reasoning Pro costs less

Agent loop

200K input + 10K output tokens

o1-pro$36.00Exceeds the context window
Sonar Reasoning Pro$0.480Exceeds the context window

Sonar Reasoning Pro 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 o1-pro and Sonar Reasoning Pro
SpecificationOpenAI o1-proPerplexity Sonar Reasoning Pro
MakerOpenAIPerplexity
WeightsNo public weights listedNo public weights listed
ReleasedMarch 19, 2025March 7, 2025
Context window200K128K
Input $/Mtok$150.00$2.00
Output $/Mtok$600.00$8.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o1-pro better than Sonar Reasoning Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. o1-pro has the edge where the context window is larger, 200K against 128K tokens.

Which is cheaper, o1-pro or Sonar Reasoning Pro?

o1-pro costs $150.00 per million input tokens and $600.00 per million output tokens; Sonar Reasoning Pro costs $2.00 and $8.00. Cost per solved task is known for neither of them.

Which has the bigger context window, o1-pro or Sonar Reasoning Pro?

o1-pro, with 200K tokens against 128K.

How many benchmarks is the o1-pro vs Sonar Reasoning Pro comparison based on?

1 benchmarks have a result for both models as of October 21, 2026. o1-pro's coding index rests on 0 independent benchmarks and Sonar Reasoning Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.

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