Nano Banana (Gemini 2.5 Flash Image) vs GPT-4o
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
- $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.
- Shared results
- 0
- Nano Banana (Gemini 2.5 Flash Image) only
- 3
- GPT-4o only
- 26
- 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
Web design
Design Arena: websites
No call
Only GPT-4o has a Design Arena: websites result, 831.
Directional only
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
GPT-4o
GPT-4o takes 128K 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, GPT-4o $0.0075 per turn.
List prices
At a glance
- Coding index
- Nano Banana (Gemini 2.5 Flash Image) not benchmarked, GPT-4o 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 (Gemini 2.5 Flash Image) $2.50 against GPT-4o $10.00 per million output tokens, 4.0x apart.
- Context window
- Nano Banana (Gemini 2.5 Flash Image) takes 33K tokens, GPT-4o 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards, none shared
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | GPT-4o | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 38.8% | Only GPT-4o measured |
| SWE-bench Lite | Not measured | 38.0% | Only GPT-4o measured |
| SWE-bench (full test set) | Not measured | 18.8% | Only GPT-4o measured |
| SWE-bench Multimodal | Not measured | 30.4% | Only GPT-4o measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 30.9% | Only GPT-4o measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 8.3% | Only GPT-4o measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | GPT-4o | Leader |
|---|---|---|---|
| Neither model has a result on 2 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | GPT-4o | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 25.1% | Only GPT-4o measured |
| GDPval | Not measured | 9.9% | Only GPT-4o measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | GPT-4o | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 54.3% | Only GPT-4o measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 2.4% | Only GPT-4o measured |
| ARC-AGI | Not measured | 4.5% | Only GPT-4o measured |
| ARC-AGI-2 | Not measured | 0.0% | Only GPT-4o measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | GPT-4o | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 6.0 | Only GPT-4o measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 6.0% | Only GPT-4o measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | GPT-4o | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 74.8% | Only GPT-4o measured |
| MMLU | Not measured | 88.1% | Only GPT-4o measured |
| Neither model has a result on the other 15 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | GPT-4o | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 831 | Only GPT-4o measured |
| Design Arena: UI components | Not measured | 885 | Only GPT-4o measured |
| Design Arena: game dev | Not measured | 906 | Only GPT-4o measured |
| Design Arena: data viz | Not measured | 858 | Only GPT-4o measured |
| Design Arena: 3D | Not measured | 869 | Only GPT-4o measured |
| Design Arena: all code categories | Not measured | 861 | Only GPT-4o measured |
| Neither model has a result on the other 3 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | GPT-4o | Leader |
|---|---|---|---|
| IFBench | Not measured | 34.3% | Only GPT-4o measured |
| Long context reasoning (AA-LCR) | Not measured | 49.3% | Only GPT-4o measured |
| DTBench | Not measured | 64.5% | Only GPT-4o measured |
| LMCA | Not measured | 16.6% | Only GPT-4o measured |
| Neither model has a result on the other 42 boards here | |||
Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Nano Banana (Gemini 2.5 Flash Image) | GPT-4o | 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) | OpenAI GPT-4o |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | October 7, 2025 | May 13, 2024 |
| Context window | 33K | 128K |
| Input $/Mtok | $0.30 | $2.50 |
| 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 GPT-4o 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 GPT-4o?
Nano Banana (Gemini 2.5 Flash Image) costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-4o costs $2.50 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 GPT-4o?
GPT-4o, with 128K tokens against 33K.
How many benchmarks is the Nano Banana (Gemini 2.5 Flash Image) vs GPT-4o comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. Nano Banana (Gemini 2.5 Flash Image)'s coding index rests on 0 independent benchmarks and GPT-4o's on 0. Where only one model has a result, the page says so instead of naming a winner.