Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) vs GPT-5.3-Codex
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
- $1.50
- Coding
- 60.0
- Overall
- 32.5
- Output $/M
- $14.00
Decision reading
Only GPT-5.3-Codex has a coding score, 60.0 on the Vibe Coding Index; Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has none, so the two cannot be ranked on coding.
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has the edge where output tokens cost 9.3x less.
No benchmark has tested both yet. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; GPT-5.3-Codex on LMArena WebDev, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI). 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
Only GPT-5.3-Codex has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only GPT-5.3-Codex has a AA Intelligence Index result, 32.5.
Directional only
Web design
Design Arena: websites
No call
Only GPT-5.3-Codex has a Design Arena: websites result, 1163.
Directional only
Image generation
Design Arena: images
No call
Only Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has a Design Arena: images result, 1239.
Directional only
Long documents
Listed context window
GPT-5.3-Codex
GPT-5.3-Codex takes 400K tokens against 66K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) $0.0010, GPT-5.3-Codex $0.0088 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.3-Codex has the number, $0.59.
Directional only
At a glance
- Coding index
- Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) not benchmarked, GPT-5.3-Codex 60.0 from 3 benchmarks.
- 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 2 Lite (Gemini 3.1 Flash Lite Image) $1.50 against GPT-5.3-Codex $14.00 per million output tokens, 9.3x apart.
- Context window
- Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) takes 66K tokens, GPT-5.3-Codex 400K.
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 Index12 boards measured
| Benchmark | Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | GPT-5.3-Codex | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1407 | Only GPT-5.3-Codex measured |
| LiveCodeBench (Vals AI) | Not measured | 87.3% | Only GPT-5.3-Codex measured |
| SWE-bench Verified (Vals AI) | Not measured | 78.0% | Only GPT-5.3-Codex measured |
| Vibe Code Bench (Vals AI) | Not measured | 61.8% | Only GPT-5.3-Codex measured |
| IOI (Vals AI) | Not measured | 53.8% | Only GPT-5.3-Codex measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 53.0% | Only GPT-5.3-Codex measured |
| Terminal-Bench | Not measured | 78.4% | Only GPT-5.3-Codex measured |
| WeirdML | Not measured | 79.3% | Only GPT-5.3-Codex measured |
| ALE-Bench | Not measured | 1655.2 | Only GPT-5.3-Codex measured |
| LMArena WebDev: React | Not measured | 1395 | Only GPT-5.3-Codex measured |
| LMArena WebDev: HTML | Not measured | 1422 | Only GPT-5.3-Codex measured |
| LMArena WebDev: from an image | Not measured | 1443 | Only GPT-5.3-Codex measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | GPT-5.3-Codex | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 32.5 | Only GPT-5.3-Codex measured |
| Epoch Capabilities Index | Not measured | 157.1 | Only GPT-5.3-Codex measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | GPT-5.3-Codex | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1032 | Only GPT-5.3-Codex measured |
| Design Arena: agents building full-stack apps | Not measured | 983 | Only GPT-5.3-Codex measured |
| Design Arena: agents building mobile apps | Not measured | 1053 | Only GPT-5.3-Codex measured |
| Design Arena: agents building Android apps | Not measured | 1084 | Only GPT-5.3-Codex measured |
| Design Arena: agents building Godot games | Not measured | 1124 | Only GPT-5.3-Codex measured |
| τ²-Bench Telecom | Not measured | 86.0% | Only GPT-5.3-Codex measured |
| METR time horizons | Not measured | 74.5% | Only GPT-5.3-Codex measured |
| Vending-Bench 2 | Not measured | $5,940 | Only GPT-5.3-Codex measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | GPT-5.3-Codex | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 91.5% | Only GPT-5.3-Codex measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 42.5% | Only GPT-5.3-Codex measured |
| Neither model has a result on the other 19 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | GPT-5.3-Codex | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1163 | Only GPT-5.3-Codex measured |
| Design Arena: UI components | Not measured | 1137 | Only GPT-5.3-Codex measured |
| Design Arena: game dev | Not measured | 1161 | Only GPT-5.3-Codex measured |
| Design Arena: data viz | Not measured | 1163 | Only GPT-5.3-Codex measured |
| Design Arena: 3D | Not measured | 1008 | Only GPT-5.3-Codex measured |
| Design Arena: all code categories | Not measured | 1145 | Only GPT-5.3-Codex measured |
| Design Arena: SVG | Not measured | 1129 | Only GPT-5.3-Codex measured |
| Design Arena: ASCII art | Not measured | 1151 | Only GPT-5.3-Codex measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | GPT-5.3-Codex | Leader |
|---|---|---|---|
| IFBench | Not measured | 75.4% | Only GPT-5.3-Codex measured |
| Long context reasoning (AA-LCR) | Not measured | 83.3% | Only GPT-5.3-Codex measured |
| Neither model has a result on the other 44 boards here | |||
Image generationDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | GPT-5.3-Codex | Leader |
|---|---|---|---|
| Design Arena: images | 1239 | Not measured | Only Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured |
| Design Arena: graphic design | 1249 | Not measured | Only Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured |
| Design Arena: logos | 1214 | Not measured | Only Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured |
| LMArena Text to Image | 1250 | Not measured | Only Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured |
| LMArena Image Edit | 1313 | Not measured | Only Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured |
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 2 Lite (Gemini 3.1 Flash Lite Image) costs less
Repository review
50K input + 3K output tokens
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) costs less
Agent loop
200K input + 10K output tokens
Nano Banana 2 Lite (Gemini 3.1 Flash Lite 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 2 Lite (Gemini 3.1 Flash Lite Image) | OpenAI GPT-5.3-Codex |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | June 30, 2026 | February 24, 2026 |
| Context window | 66K | 400K |
| Input $/Mtok | $0.25 | $1.75 |
| Output $/Mtok | $1.50 | $14.00 |
| Coding index | Not benchmarked | 60.0 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | $0.59 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) better than GPT-5.3-Codex for coding?
Only GPT-5.3-Codex has a coding score, 60.0 on the Vibe Coding Index; Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has none, so the two cannot be ranked on coding. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has the edge where output tokens cost 9.3x less.
Which is cheaper, Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) or GPT-5.3-Codex?
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) costs $0.25 per million input tokens and $1.50 per million output tokens; GPT-5.3-Codex costs $1.75 and $14.00. Cost per solved task is known for GPT-5.3-Codex only.
Which has the bigger context window, Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) or GPT-5.3-Codex?
GPT-5.3-Codex, with 400K tokens against 66K.
Has any benchmark tested both Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.3-Codex?
No benchmark has tested both yet. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; GPT-5.3-Codex on LMArena WebDev, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI). Compare them on price and context instead. Data as of October 21, 2026.