Nano Banana Pro (Gemini 3 Pro Image) vs Extract
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
- No data
- Output $/M
- $12.00
- 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.
- Shared results
- 0
- Nano Banana Pro (Gemini 3 Pro Image) only
- 1
- Extract 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
Long documents
Listed context window
Extract
Extract takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Extract
Nano Banana Pro (Gemini 3 Pro Image) $0.0080, Extract $0.0000 per turn.
List prices
At a glance
- Coding index
- Nano Banana Pro (Gemini 3 Pro Image) not benchmarked, Extract 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
- Nano Banana Pro (Gemini 3 Pro Image) $12.00 against Extract Free per million output tokens.
- Context window
- Nano Banana Pro (Gemini 3 Pro Image) takes 131K tokens, Extract 1M.
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 | Nano Banana Pro (Gemini 3 Pro Image) | Extract | Leader |
|---|---|---|---|
| Neither model has a result on 38 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nano Banana Pro (Gemini 3 Pro Image) | Extract | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nano Banana Pro (Gemini 3 Pro Image) | Extract | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nano Banana Pro (Gemini 3 Pro Image) | Extract | Leader |
|---|---|---|---|
| Neither model has a result on 21 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nano Banana Pro (Gemini 3 Pro Image) | Extract | 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 | Nano Banana Pro (Gemini 3 Pro Image) | Extract | 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 | Nano Banana Pro (Gemini 3 Pro Image) | Extract | 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 | Nano Banana Pro (Gemini 3 Pro Image) | Extract | Leader |
|---|---|---|---|
| Neither model has a result on 46 boards here | |||
Image generationDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Nano Banana Pro (Gemini 3 Pro Image) | Extract | Leader |
|---|---|---|---|
| LMArena Image Edit | 1390 | Not measured | Only Nano Banana Pro (Gemini 3 Pro Image) measured |
| Neither model has a result on the other 4 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
Extract costs less
Repository review
50K input + 3K output tokens
Extract costs less
Agent loop
200K input + 10K output tokens
Extract 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 | Google Nano Banana Pro (Gemini 3 Pro Image) | ScaleDown Extract |
|---|---|---|
| Maker | Scaledown | |
| Weights | No public weights listed | No public weights listed |
| Released | June 18, 2026 | October 13, 2026 |
| Context window | 131K | 1M |
| Input $/Mtok | $2.00 | $0.04 |
| Output $/Mtok | $12.00 | 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 Nano Banana Pro (Gemini 3 Pro Image) better than Extract 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, Nano Banana Pro (Gemini 3 Pro Image) or Extract?
Nano Banana Pro (Gemini 3 Pro Image) costs $2.00 per million input tokens and $12.00 per million output tokens; Extract costs $0.04 and Free. Cost per solved task is known for neither of them.
Which has the bigger context window, Nano Banana Pro (Gemini 3 Pro Image) or Extract?
Extract, with 1M tokens against 131K.
How many benchmarks is the Nano Banana Pro (Gemini 3 Pro Image) vs Extract comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. Nano Banana Pro (Gemini 3 Pro Image)'s coding index rests on 0 independent benchmarks and Extract's on 0. Where only one model has a result, the page says so instead of naming a winner.