Nano Banana (Gemini 2.5 Flash Image) vs Gemini 2.5 Pro Preview 06-05
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
- No data
- Output $/M
- $2.50
- Coding
- No data
- Overall
- No data
- Output $/M
- $10.00
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Nano Banana (Gemini 2.5 Flash Image) has the edge where output tokens cost 4.0x less.
No benchmark has tested both yet. Nano Banana (Gemini 2.5 Flash Image) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; Gemini 2.5 Pro Preview 06-05 on Aider polyglot, LiveCodeBench (Vals AI) and LiveCodeBench (Artificial Analysis run). 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
Image generation
Design Arena: images
No call
Only Nano Banana (Gemini 2.5 Flash Image) has a Design Arena: images result, 1179.
Directional only
Long documents
Listed context window
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nano Banana (Gemini 2.5 Flash Image)
Nano Banana (Gemini 2.5 Flash Image) $0.0015, Gemini 2.5 Pro Preview 06-05 $0.0063 per turn.
List prices
At a glance
- Coding index
- Nano Banana (Gemini 2.5 Flash Image) not benchmarked, Gemini 2.5 Pro Preview 06-05 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
- Nano Banana (Gemini 2.5 Flash Image) $2.50 against Gemini 2.5 Pro Preview 06-05 $10.00 per million output tokens, 4.0x apart.
- Context window
- Nano Banana (Gemini 2.5 Flash Image) takes 33K tokens, Gemini 2.5 Pro Preview 06-05 1.05M.
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 Index4 boards measured
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | Gemini 2.5 Pro Preview 06-05 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 83.1% | Only Gemini 2.5 Pro Preview 06-05 measured |
| LiveCodeBench (Vals AI) | Not measured | 79.2% | Only Gemini 2.5 Pro Preview 06-05 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 77.8% | Only Gemini 2.5 Pro Preview 06-05 measured |
| GSO-Bench | Not measured | 3.9% | Only Gemini 2.5 Pro Preview 06-05 measured |
| Neither model has a result on the other 34 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | Gemini 2.5 Pro Preview 06-05 | Leader |
|---|---|---|---|
| METR time horizons | Not measured | 55.4% | Only Gemini 2.5 Pro Preview 06-05 measured |
| Remote Labor Index | Not measured | 0.8% | Only Gemini 2.5 Pro Preview 06-05 measured |
| DeepResearch Bench | Not measured | 42.8% | Only Gemini 2.5 Pro Preview 06-05 measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | Gemini 2.5 Pro Preview 06-05 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 83.6% | Only Gemini 2.5 Pro Preview 06-05 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 19.9% | Only Gemini 2.5 Pro Preview 06-05 measured |
| GPQA Diamond (Epoch AI run) | Not measured | 84.8% | Only Gemini 2.5 Pro Preview 06-05 measured |
| SimpleBench | Not measured | 62.4% | Only Gemini 2.5 Pro Preview 06-05 measured |
| VPCT | Not measured | 46.4% | Only Gemini 2.5 Pro Preview 06-05 measured |
| Neither model has a result on the other 16 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | Gemini 2.5 Pro Preview 06-05 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 85.8% | Only Gemini 2.5 Pro Preview 06-05 measured |
| Neither model has a result on the other 16 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | Gemini 2.5 Pro Preview 06-05 | Leader |
|---|---|---|---|
| Fiction.LiveBench | Not measured | 91.7% | Only Gemini 2.5 Pro Preview 06-05 measured |
| Neither model has a result on the other 45 boards here | |||
Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | Gemini 2.5 Pro Preview 06-05 | Leader |
|---|---|---|---|
| Design Arena: images | 1179 | Not measured | Only Nano Banana (Gemini 2.5 Flash Image) measured |
| Design Arena: graphic design | 1151 | Not measured | Only Nano Banana (Gemini 2.5 Flash Image) measured |
| Design Arena: logos | 1169 | Not measured | Only Nano Banana (Gemini 2.5 Flash Image) measured |
| Neither model has a result on the other 2 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
Nano Banana (Gemini 2.5 Flash Image) costs less
Repository review
50K input + 3K output tokens
Nano Banana (Gemini 2.5 Flash Image) costs less
Agent loop
200K input + 10K output tokens
Nano Banana (Gemini 2.5 Flash Image) 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 (Gemini 2.5 Flash Image) | Google Gemini 2.5 Pro Preview 06-05 |
|---|---|---|
| Maker | ||
| Weights | No public weights listed | No public weights listed |
| Released | October 7, 2025 | June 5, 2025 |
| Context window | 33K | 1.05M |
| Input $/Mtok | $0.30 | $1.25 |
| Output $/Mtok | $2.50 | $10.00 |
| 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 Nano Banana (Gemini 2.5 Flash Image) better than Gemini 2.5 Pro Preview 06-05 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Nano Banana (Gemini 2.5 Flash Image) has the edge where output tokens cost 4.0x less.
Which is cheaper, Nano Banana (Gemini 2.5 Flash Image) or Gemini 2.5 Pro Preview 06-05?
Nano Banana (Gemini 2.5 Flash Image) costs $0.30 per million input tokens and $2.50 per million output tokens; Gemini 2.5 Pro Preview 06-05 costs $1.25 and $10.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Nano Banana (Gemini 2.5 Flash Image) or Gemini 2.5 Pro Preview 06-05?
Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 33K.
Has any benchmark tested both Nano Banana (Gemini 2.5 Flash Image) and Gemini 2.5 Pro Preview 06-05?
No benchmark has tested both yet. Nano Banana (Gemini 2.5 Flash Image) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; Gemini 2.5 Pro Preview 06-05 on Aider polyglot, LiveCodeBench (Vals AI) and LiveCodeBench (Artificial Analysis run). Compare them on price and context instead. Data as of October 21, 2026.