GPT-6 Astra Pro vs Summarize
Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $50.00
- Coding
- No data
- Overall
- No data
- Output $/M
- No data
GPT-6 Astra Pro or Summarize: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-6 Astra Pro for a larger context window (1.05M against 1M tokens).
No benchmark has tested both yet. GPT-6 Astra Pro has results on WeirdML and Chess puzzles; 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
Long documents
Listed context window
GPT-6 Astra Pro
GPT-6 Astra Pro takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Summarize
GPT-6 Astra Pro $0.035, Summarize $0.0000 per turn.
List prices
At a glance
- Coding index
- GPT-6 Astra 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
- GPT-6 Astra Pro $50.00 against Summarize Free per million output tokens.
- Context window
- GPT-6 Astra Pro takes 1.05M 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | GPT-6 Astra Pro | Summarize | Leader |
|---|---|---|---|
| WeirdML | 93.6% | Not measured | Only GPT-6 Astra Pro measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-6 Astra Pro | Summarize | Leader |
|---|---|---|---|
| Chess puzzles | 76.0% | Not measured | Only GPT-6 Astra Pro measured |
| Neither model has a result on the other 21 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 GPT-6 Astra Pro | ScaleDown Summarize |
|---|---|---|
| Maker | OpenAI | Scaledown |
| Weights | No public weights listed | No public weights listed |
| Released | September 4, 2026 | October 13, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $10.00 | $0.04 |
| Output $/Mtok | $50.00 | 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 GPT-6 Astra Pro better than Summarize for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-6 Astra Pro for a larger context window (1.05M against 1M tokens).
Which is cheaper, GPT-6 Astra Pro or Summarize?
GPT-6 Astra Pro costs $10.00 per million input tokens and $50.00 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, GPT-6 Astra Pro or Summarize?
GPT-6 Astra Pro, with 1.05M tokens against 1M.
Has any benchmark tested both GPT-6 Astra Pro and Summarize?
No benchmark has tested both yet. GPT-6 Astra Pro has results on WeirdML and Chess puzzles; Summarize has none yet. Compare them on price and context instead. Data as of October 21, 2026.