o1-pro vs Summarize
Updated October 21, 2026. No benchmark has tested both models yet. 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
- No data
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.
No benchmark has tested both yet. o1-pro has results on AA Intelligence Index and ARC-AGI; Summarize has none yet. Compare them on price and context instead.
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
Summarize
Summarize takes 1M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Summarize
o1-pro $0.450, Summarize $0.0000 per turn.
List prices
At a glance
- Coding index
- o1-pro not benchmarked, Summarize not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- o1-pro $600.00 against Summarize Free per million output tokens.
- Context window
- o1-pro takes 200K tokens, Summarize 1M.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | o1-pro | Summarize | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.4 | Not measured | Only o1-pro measured |
| Neither model has a result on the other 1 board here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | o1-pro | Summarize | Leader |
|---|---|---|---|
| ARC-AGI | 23.3% | Not measured | Only o1-pro measured |
| Neither model has a result on the other 20 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
Summarize costs less
Repository review
50K input + 3K output tokens
Summarize costs less
Agent loop
200K input + 10K output tokens
Summarize 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 | ScaleDown Summarize |
|---|---|---|
| Maker | OpenAI | Scaledown |
| Weights | No public weights listed | No public weights listed |
| Released | March 19, 2025 | October 13, 2026 |
| Context window | 200K | 1M |
| Input $/Mtok | $150.00 | $0.04 |
| Output $/Mtok | $600.00 | Free |
| 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 Summarize 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, o1-pro or Summarize?
o1-pro costs $150.00 per million input tokens and $600.00 per million output tokens; Summarize costs $0.04 and Free. Cost per solved task is known for neither of them.
Which has the bigger context window, o1-pro or Summarize?
Summarize, with 1M tokens against 200K.
Has any benchmark tested both o1-pro and Summarize?
No benchmark has tested both yet. o1-pro has results on AA Intelligence Index and ARC-AGI; Summarize has none yet. Compare them on price and context instead. Data as of October 21, 2026.