o1-pro vs Sonar Deep Research
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.
- Coding
- No data
- Overall
- 12.4
- Output $/M
- $600.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $8.00
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
- 0
- o1-pro only
- 2
- Sonar Deep Research 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.
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 o1-pro has a AA Intelligence Index result, 12.4.
Directional only
Long documents
Listed context window
o1-pro
o1-pro takes 200K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Sonar Deep Research
o1-pro $0.450, Sonar Deep Research $0.0060 per turn.
List prices
At a glance
- Coding index
- o1-pro not benchmarked, Sonar Deep Research 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
- o1-pro $600.00 against Sonar Deep Research $8.00 per million output tokens, 75.0x apart.
- Context window
- o1-pro takes 200K tokens, Sonar Deep Research 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.
CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
| Benchmark | o1-pro | Sonar Deep Research | Leader |
|---|---|---|---|
| Neither model has a result on 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | o1-pro | Sonar Deep Research | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.4 | Not measured | Only o1-pro measured |
| 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
| Benchmark | o1-pro | Sonar Deep Research | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | o1-pro | Sonar Deep Research | Leader |
|---|---|---|---|
| ARC-AGI | 23.3% | Not measured | Only 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
| Benchmark | o1-pro | Sonar Deep Research | Leader |
|---|---|---|---|
| Neither model has a result on 13 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Sonar Deep Research | Leader |
|---|---|---|---|
| Neither model has a result on 17 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Sonar Deep Research | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Sonar Deep Research | Leader |
|---|---|---|---|
| Neither model has a result on 46 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Sonar Deep Research | Leader |
|---|---|---|---|
| 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
Sonar Deep Research costs less
Repository review
50K input + 3K output tokens
Sonar Deep Research costs less
Agent loop
200K input + 10K output tokens
Sonar Deep Research 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.
| Specification | OpenAI o1-pro | Perplexity Sonar Deep Research |
|---|---|---|
| Maker | OpenAI | Perplexity |
| Weights | No public weights listed | No public weights listed |
| Released | March 19, 2025 | March 7, 2025 |
| Context window | 200K | 128K |
| Input $/Mtok | $150.00 | $2.00 |
| Output $/Mtok | $600.00 | $8.00 |
| 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 o1-pro better than Sonar Deep Research 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 Deep Research?
o1-pro costs $150.00 per million input tokens and $600.00 per million output tokens; Sonar Deep Research 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 Deep Research?
o1-pro, with 200K tokens against 128K.
How many benchmarks is the o1-pro vs Sonar Deep Research comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. o1-pro's coding index rests on 0 independent benchmarks and Sonar Deep Research's on 0. Where only one model has a result, the page says so instead of naming a winner.