Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs GPT-5.2
Nano Banana 2 (Gemini 3.1 Flash Image Preview) costs 4.7x less per output token than GPT-5.2 ($3.00 vs $14.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $3.00
- Coding
- 55.9
- Overall
- 60.7
- Output $/M
- $14.00
Nano Banana 2 (Gemini 3.1 Flash Image Preview) or GPT-5.2: which to pick
Only GPT-5.2 has a coding score, 55.9 on the Vibe Coding Index; Nano Banana 2 (Gemini 3.1 Flash Image Preview) has none, so the two cannot be ranked on coding.
Pick Nano Banana 2 (Gemini 3.1 Flash Image Preview) for output tokens 4.7x cheaper ($3.00 vs $14.00 per million).
No benchmark has tested both yet. Nano Banana 2 (Gemini 3.1 Flash Image Preview) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; GPT-5.2 on SWE-bench Verified, SWE-bench Multilingual and LMArena WebDev. 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-5.2 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only GPT-5.2 has a AA Intelligence Index result, 30.4.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.2 has a GPQA Diamond result, 91.7%.
Directional only
Math
AIME
No call
Only GPT-5.2 has a AIME result, 96.9%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.2 has a MMLU Pro result, 86.2%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-5.2 has a Design Arena: websites result, 1195.
Directional only
Image generation
Design Arena: images
No call
Only Nano Banana 2 (Gemini 3.1 Flash Image Preview) has a Design Arena: images result, 1269.
Directional only
Long documents
Listed context window
GPT-5.2
GPT-5.2 takes 400K tokens against 66K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nano Banana 2 (Gemini 3.1 Flash Image Preview)
Nano Banana 2 (Gemini 3.1 Flash Image Preview) $0.0020, GPT-5.2 $0.0088 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.2 has the number, $1.91.
Directional only
At a glance
- Coding index
- Nano Banana 2 (Gemini 3.1 Flash Image Preview) not benchmarked, GPT-5.2 55.9 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 (Gemini 3.1 Flash Image Preview) $3.00 against GPT-5.2 $14.00 per million output tokens, 4.7x apart.
- Context window
- Nano Banana 2 (Gemini 3.1 Flash Image Preview) takes 66K tokens, GPT-5.2 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 Index15 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | GPT-5.2 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 72.8% | Only GPT-5.2 measured |
| SWE-bench Multilingual | Not measured | 66.7% | Only GPT-5.2 measured |
| LMArena WebDev | Not measured | 1417 | Only GPT-5.2 measured |
| LiveCodeBench (Vals AI) | Not measured | 85.4% | Only GPT-5.2 measured |
| SWE-bench Verified (Vals AI) | Not measured | 75.8% | Only GPT-5.2 measured |
| Vibe Code Bench (Vals AI) | Not measured | 53.5% | Only GPT-5.2 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 89.4% | Only GPT-5.2 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 47.0% | Only GPT-5.2 measured |
| Terminal-Bench | Not measured | 64.9% | Only GPT-5.2 measured |
| GSO-Bench | Not measured | 27.5% | Only GPT-5.2 measured |
| WeirdML | Not measured | 72.2% | Only GPT-5.2 measured |
| ALE-Bench | Not measured | 1293.5 | Only GPT-5.2 measured |
| LMArena Text: coding | Not measured | 1442 | Only GPT-5.2 measured |
| LMArena Text: software and IT | Not measured | 1434 | Only GPT-5.2 measured |
| LMArena WebDev: HTML | Not measured | 1427 | Only GPT-5.2 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | GPT-5.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 30.4 | Only GPT-5.2 measured |
| Epoch Capabilities Index | Not measured | 153.7 | Only GPT-5.2 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | GPT-5.2 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1086 | Only GPT-5.2 measured |
| Design Arena: agents building full-stack apps | Not measured | 1043 | Only GPT-5.2 measured |
| Design Arena: agents building mobile apps | Not measured | 1093 | Only GPT-5.2 measured |
| Design Arena: agents building Android apps | Not measured | 1058 | Only GPT-5.2 measured |
| Design Arena: agents building Godot games | Not measured | 1142 | Only GPT-5.2 measured |
| τ²-Bench Telecom | Not measured | 84.8% | Only GPT-5.2 measured |
| METR time horizons | Not measured | 75.3% | Only GPT-5.2 measured |
| Remote Labor Index | Not measured | 2.5% | Only GPT-5.2 measured |
| GDPval | Not measured | 49.7% | Only GPT-5.2 measured |
| DeepResearch Bench | Not measured | 41.1% | Only GPT-5.2 measured |
| Vending-Bench 2 | Not measured | $3,591 | Only GPT-5.2 measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 55.9% | Only GPT-5.2 measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index18 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | GPT-5.2 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 91.7% | Only GPT-5.2 measured |
| MMMU Pro (Vals AI) | Not measured | 86.7% | Only GPT-5.2 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.3% | Only GPT-5.2 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 37.7% | Only GPT-5.2 measured |
| GPQA Diamond (Epoch AI run) | Not measured | 91.4% | Only GPT-5.2 measured |
| ARC-AGI | Not measured | 86.2% | Only GPT-5.2 measured |
| ARC-AGI-2 | Not measured | 52.9% | Only GPT-5.2 measured |
| SimpleBench | Not measured | 45.8% | Only GPT-5.2 measured |
| Chess puzzles | Not measured | 48.0% | Only GPT-5.2 measured |
| Mystery game puzzles | Not measured | 23.0% | Only GPT-5.2 measured |
| EBR-bench | Not measured | 23.0% | Only GPT-5.2 measured |
| VPCT | Not measured | 84.0% | Only GPT-5.2 measured |
| LMArena Text: hard prompts | Not measured | 1428 | Only GPT-5.2 measured |
| LMArena Text: expert | Not measured | 1445 | Only GPT-5.2 measured |
| LMArena Text: hard prompts in English | Not measured | 1431 | Only GPT-5.2 measured |
| LMArena Vision: diagrams | Not measured | 1265 | Only GPT-5.2 measured |
| LMArena Vision: homework | Not measured | 1276 | Only GPT-5.2 measured |
| Kagi LLM Benchmark | Not measured | 73.3% | Only GPT-5.2 measured |
| Neither model has a result on the other 4 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | GPT-5.2 | Leader |
|---|---|---|---|
| AIME | Not measured | 96.9% | Only GPT-5.2 measured |
| MGSM (Vals AI) | Not measured | 94.0% | Only GPT-5.2 measured |
| AA Math Index | Not measured | 99.0 | Only GPT-5.2 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 99.0% | Only GPT-5.2 measured |
| OTIS Mock AIME | Not measured | 96.1% | Only GPT-5.2 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 67.4% | Only GPT-5.2 measured |
| FrontierMath, tier 4 | Not measured | 31.7% | Only GPT-5.2 measured |
| ProofBench | Not measured | 15.0% | Only GPT-5.2 measured |
| LMArena Text: math | Not measured | 1440 | Only GPT-5.2 measured |
| LMArena Text: mathematical work | Not measured | 1442 | Only GPT-5.2 measured |
| Neither model has a result on the other 3 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index15 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | GPT-5.2 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.2% | Only GPT-5.2 measured |
| LegalBench (Vals AI) | Not measured | 82.8% | Only GPT-5.2 measured |
| CaseLaw (Vals AI) | Not measured | 66.0% | Only GPT-5.2 measured |
| CorpFin (Vals AI) | Not measured | 65.9% | Only GPT-5.2 measured |
| TaxEval (Vals AI) | Not measured | 75.8% | Only GPT-5.2 measured |
| MortgageTax (Vals AI) | Not measured | 67.1% | Only GPT-5.2 measured |
| MedQA (Vals AI) | Not measured | 94.1% | Only GPT-5.2 measured |
| MedCode (Vals AI) | Not measured | 49.8% | Only GPT-5.2 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 87.4% | Only GPT-5.2 measured |
| SimpleQA Verified | Not measured | 37.1% | Only GPT-5.2 measured |
| LMArena Text: science | Not measured | 1425 | Only GPT-5.2 measured |
| LMArena Text: medicine and healthcare | Not measured | 1425 | Only GPT-5.2 measured |
| LMArena Text: legal and government | Not measured | 1427 | Only GPT-5.2 measured |
| LMArena Text: business and finance | Not measured | 1414 | Only GPT-5.2 measured |
| FACTS Benchmark Suite | Not measured | 48.5% | Only GPT-5.2 measured |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | GPT-5.2 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1195 | Only GPT-5.2 measured |
| Design Arena: UI components | Not measured | 1190 | Only GPT-5.2 measured |
| Design Arena: game dev | Not measured | 1195 | Only GPT-5.2 measured |
| Design Arena: data viz | Not measured | 1202 | Only GPT-5.2 measured |
| Design Arena: 3D | Not measured | 1079 | Only GPT-5.2 measured |
| Design Arena: all code categories | Not measured | 1170 | Only GPT-5.2 measured |
| Design Arena: SVG | Not measured | 1139 | Only GPT-5.2 measured |
| Design Arena: ASCII art | Not measured | 1152 | Only GPT-5.2 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index34 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | GPT-5.2 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 49.3% | Only GPT-5.2 measured |
| MedScribe (Vals AI) | Not measured | 84.4% | Only GPT-5.2 measured |
| IFBench | Not measured | 75.4% | Only GPT-5.2 measured |
| Long context reasoning (AA-LCR) | Not measured | 82.7% | Only GPT-5.2 measured |
| DTBench | Not measured | 90.9% | Only GPT-5.2 measured |
| LMCA | Not measured | 43.9% | Only GPT-5.2 measured |
| CL-bench | Not measured | 18.2% | Only GPT-5.2 measured |
| Furniture assembly | Not measured | 38.3% | Only GPT-5.2 measured |
| LMArena Text | Not measured | 1416 | Only GPT-5.2 measured |
| LMArena Text: instruction following | Not measured | 1409 | Only GPT-5.2 measured |
| LMArena Text: creative writing | Not measured | 1376 | Only GPT-5.2 measured |
| LMArena Vision | Not measured | 1246 | Only GPT-5.2 measured |
| LMArena Text: English | Not measured | 1422 | Only GPT-5.2 measured |
| LMArena Text: non-English | Not measured | 1405 | Only GPT-5.2 measured |
| LMArena Text: Chinese | Not measured | 1447 | Only GPT-5.2 measured |
| LMArena Text: German | Not measured | 1444 | Only GPT-5.2 measured |
| LMArena Text: Japanese | Not measured | 1420 | Only GPT-5.2 measured |
| LMArena Text: Korean | Not measured | 1374 | Only GPT-5.2 measured |
| LMArena Text: French | Not measured | 1454 | Only GPT-5.2 measured |
| LMArena Text: Spanish | Not measured | 1413 | Only GPT-5.2 measured |
| LMArena Text: Russian | Not measured | 1415 | Only GPT-5.2 measured |
| LMArena Text: Polish | Not measured | 1426 | Only GPT-5.2 measured |
| LMArena Text: multi-turn | Not measured | 1419 | Only GPT-5.2 measured |
| LMArena Text: longer queries | Not measured | 1413 | Only GPT-5.2 measured |
| LMArena Text: writing and language | Not measured | 1392 | Only GPT-5.2 measured |
| LMArena Text: entertainment and media | Not measured | 1378 | Only GPT-5.2 measured |
| LMArena Vision: English | Not measured | 1243 | Only GPT-5.2 measured |
| LMArena Vision: Chinese | Not measured | 1305 | Only GPT-5.2 measured |
| LMArena Vision: reading text | Not measured | 1257 | Only GPT-5.2 measured |
| LMArena Vision: humor | Not measured | 1227 | Only GPT-5.2 measured |
| LMArena Vision: captioning | Not measured | 1267 | Only GPT-5.2 measured |
| LMArena Vision: recognizing things | Not measured | 1232 | Only GPT-5.2 measured |
| LMArena Vision: creative writing | Not measured | 1225 | Only GPT-5.2 measured |
| LMArena Document | Not measured | 1405 | Only GPT-5.2 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image Preview) | GPT-5.2 | Leader |
|---|---|---|---|
| Design Arena: images | 1269 | Not measured | Only Nano Banana 2 (Gemini 3.1 Flash Image Preview) measured |
| Design Arena: graphic design | 1249 | Not measured | Only Nano Banana 2 (Gemini 3.1 Flash Image Preview) measured |
| Design Arena: logos | 1248 | Not measured | Only Nano Banana 2 (Gemini 3.1 Flash Image Preview) 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 2 (Gemini 3.1 Flash Image Preview) costs less
Repository review
50K input + 3K output tokens
Nano Banana 2 (Gemini 3.1 Flash Image Preview) costs less
Agent loop
200K input + 10K output tokens
Nano Banana 2 (Gemini 3.1 Flash Image Preview) 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 (Gemini 3.1 Flash Image Preview) | OpenAI GPT-5.2 |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | February 26, 2026 | December 10, 2025 |
| Context window | 66K | 400K |
| Input $/Mtok | $0.50 | $1.75 |
| Output $/Mtok | $3.00 | $14.00 |
| Coding index | Not benchmarked | 55.9 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | $1.91 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nano Banana 2 (Gemini 3.1 Flash Image Preview) better than GPT-5.2 for coding?
Only GPT-5.2 has a coding score, 55.9 on the Vibe Coding Index; Nano Banana 2 (Gemini 3.1 Flash Image Preview) has none, so the two cannot be ranked on coding. Pick Nano Banana 2 (Gemini 3.1 Flash Image Preview) for output tokens 4.7x cheaper ($3.00 vs $14.00 per million).
Which is cheaper, Nano Banana 2 (Gemini 3.1 Flash Image Preview) or GPT-5.2?
Nano Banana 2 (Gemini 3.1 Flash Image Preview) costs $0.50 per million input tokens and $3.00 per million output tokens; GPT-5.2 costs $1.75 and $14.00. Cost per solved task is known for GPT-5.2 only.
Which has the bigger context window, Nano Banana 2 (Gemini 3.1 Flash Image Preview) or GPT-5.2?
GPT-5.2, with 400K tokens against 66K.
Has any benchmark tested both Nano Banana 2 (Gemini 3.1 Flash Image Preview) and GPT-5.2?
No benchmark has tested both yet. Nano Banana 2 (Gemini 3.1 Flash Image Preview) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; GPT-5.2 on SWE-bench Verified, SWE-bench Multilingual and LMArena WebDev. Compare them on price and context instead. Data as of October 21, 2026.