Nano Banana 2 (Gemini 3.1 Flash Image) vs Gemma 3 4B
Gemma 3 4B costs 40.0x less per output token than Nano Banana 2 (Gemini 3.1 Flash Image) ($0.075 vs $3.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $3.00
- Coding
- No data
- Overall
- 22.6
- Output $/M
- $0.075
Nano Banana 2 (Gemini 3.1 Flash Image) or Gemma 3 4B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. Nano Banana 2 (Gemini 3.1 Flash Image) has results on LMArena Image Edit; Gemma 3 4B on AA Coding Index, LiveCodeBench (Artificial Analysis run) and Terminal-Bench Hard (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
Intelligence
AA Intelligence Index
No call
Only Gemma 3 4B has a AA Intelligence Index result, 4.8.
Directional only
Long documents
Listed context window
No call
Both take 131K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 3 4B
Nano Banana 2 (Gemini 3.1 Flash Image) $0.0020, Gemma 3 4B $0.0001 per turn.
List prices
At a glance
- Coding index
- Nano Banana 2 (Gemini 3.1 Flash Image) not benchmarked, Gemma 3 4B 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 2 (Gemini 3.1 Flash Image) $3.00 against Gemma 3 4B $0.075 per million output tokens, 40.0x apart.
- Context window
- Both take 131K tokens.
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 Index6 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image) | Gemma 3 4B | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 2.7 | Only Gemma 3 4B measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 11.2% | Only Gemma 3 4B measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 0.8% | Only Gemma 3 4B measured |
| LMArena Text: coding | Not measured | 1230 | Only Gemma 3 4B measured |
| LMArena Text: software and IT | Not measured | 1269 | Only Gemma 3 4B measured |
| SciCode | Not measured | 0.0% | Only Gemma 3 4B measured |
| Neither model has a result on the other 33 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image) | Gemma 3 4B | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 4.8 | Only Gemma 3 4B measured |
| Epoch Capabilities Index | Not measured | 115.9 | Only Gemma 3 4B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image) | Gemma 3 4B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 5.0% | Only Gemma 3 4B measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 19.6% | Only Gemma 3 4B measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image) | Gemma 3 4B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 29.1% | Only Gemma 3 4B measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 5.3% | Only Gemma 3 4B measured |
| GPQA Diamond (Epoch AI run) | Not measured | 23.2% | Only Gemma 3 4B measured |
| LMArena Text: hard prompts | Not measured | 1253 | Only Gemma 3 4B measured |
| LMArena Text: expert | Not measured | 1223 | Only Gemma 3 4B measured |
| LMArena Text: hard prompts in English | Not measured | 1253 | Only Gemma 3 4B measured |
| Kagi LLM Benchmark | Not measured | 25.2% | Only Gemma 3 4B measured |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image) | Gemma 3 4B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 12.7 | Only Gemma 3 4B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 12.7% | Only Gemma 3 4B measured |
| OTIS Mock AIME | Not measured | 7.5% | Only Gemma 3 4B measured |
| LMArena Text: math | Not measured | 1239 | Only Gemma 3 4B measured |
| LMArena Text: mathematical work | Not measured | 1256 | Only Gemma 3 4B measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image) | Gemma 3 4B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 41.7% | Only Gemma 3 4B measured |
| LMArena Text: science | Not measured | 1306 | Only Gemma 3 4B measured |
| LMArena Text: medicine and healthcare | Not measured | 1342 | Only Gemma 3 4B measured |
| LMArena Text: legal and government | Not measured | 1327 | Only Gemma 3 4B measured |
| LMArena Text: business and finance | Not measured | 1311 | Only Gemma 3 4B measured |
| Neither model has a result on the other 13 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index15 boards measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image) | Gemma 3 4B | Leader |
|---|---|---|---|
| IFBench | Not measured | 28.3% | Only Gemma 3 4B measured |
| Long context reasoning (AA-LCR) | Not measured | 6.7% | Only Gemma 3 4B measured |
| DTBench | Not measured | 50.9% | Only Gemma 3 4B measured |
| LMCA | Not measured | 2.8% | Only Gemma 3 4B measured |
| LMArena Text | Not measured | 1291 | Only Gemma 3 4B measured |
| LMArena Text: instruction following | Not measured | 1239 | Only Gemma 3 4B measured |
| LMArena Text: creative writing | Not measured | 1270 | Only Gemma 3 4B measured |
| LMArena Text: English | Not measured | 1300 | Only Gemma 3 4B measured |
| LMArena Text: non-English | Not measured | 1273 | Only Gemma 3 4B measured |
| LMArena Text: German | Not measured | 1281 | Only Gemma 3 4B measured |
| LMArena Text: Russian | Not measured | 1294 | Only Gemma 3 4B measured |
| LMArena Text: multi-turn | Not measured | 1255 | Only Gemma 3 4B measured |
| LMArena Text: longer queries | Not measured | 1273 | Only Gemma 3 4B measured |
| LMArena Text: writing and language | Not measured | 1288 | Only Gemma 3 4B measured |
| LMArena Text: entertainment and media | Not measured | 1233 | Only Gemma 3 4B measured |
| Neither model has a result on the other 31 boards here | |||
Image generationDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Nano Banana 2 (Gemini 3.1 Flash Image) | Gemma 3 4B | Leader |
|---|---|---|---|
| LMArena Image Edit | 1387 | Not measured | Only Nano Banana 2 (Gemini 3.1 Flash 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
Gemma 3 4B costs less
Repository review
50K input + 3K output tokens
Gemma 3 4B costs less
Agent loop
200K input + 10K output tokens
Gemma 3 4B 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) | Google Gemma 3 4B |
|---|---|---|
| Maker | ||
| Weights | No public weights listed | Open weights |
| Released | June 18, 2026 | March 13, 2025 |
| Context window | 131K | 131K |
| Input $/Mtok | $0.50 | $0.045 |
| Output $/Mtok | $3.00 | $0.075 |
| 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 2 (Gemini 3.1 Flash Image) better than Gemma 3 4B 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 2 (Gemini 3.1 Flash Image) or Gemma 3 4B?
Nano Banana 2 (Gemini 3.1 Flash Image) costs $0.50 per million input tokens and $3.00 per million output tokens; Gemma 3 4B costs $0.045 and $0.075. Cost per solved task is known for neither of them.
Which has the bigger context window, Nano Banana 2 (Gemini 3.1 Flash Image) or Gemma 3 4B?
Neither: both take 131K tokens.
Has any benchmark tested both Nano Banana 2 (Gemini 3.1 Flash Image) and Gemma 3 4B?
No benchmark has tested both yet. Nano Banana 2 (Gemini 3.1 Flash Image) has results on LMArena Image Edit; Gemma 3 4B on AA Coding Index, LiveCodeBench (Artificial Analysis run) and Terminal-Bench Hard (Artificial Analysis run). Compare them on price and context instead. Data as of October 21, 2026.