Gemini 3.5 Flash Lite vs Gemma 4 31B
Gemini 3.5 Flash Lite leads Gemma 4 31B on coding, 49.0 to 39.0 on the Vibe Coding Index, and Gemma 4 31B costs 6.3x less per output token ($0.40 vs $2.50 per million). Updated October 22, 2026; 53 benchmarks have a result for both.
Gemini 3.5 Flash Lite or Gemma 4 31B: which to pick
Pick Gemini 3.5 Flash Lite for coding: it scores 49.0 on the Vibe Coding Index against 39.0 for Gemma 4 31B.
Pick Gemma 4 31B for output tokens 6.3x cheaper ($0.40 vs $2.50 per million) and work measured by SciCode or WeirdML, where it leads.
- Shared results
- 53
- Gemini 3.5 Flash Lite only
- 32
- Gemma 4 31B only
- 18
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite scores 49.0 against 39.0.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 22.2 against 14.7.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 14.3 against 4.2.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.5 Flash Lite has a GPQA Diamond result, 83.8%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.5 Flash Lite has a MMLU Pro result, 85.8%.
Directional only
Long documents
Listed context window
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Gemini 3.5 Flash Lite $0.0015, Gemma 4 31B $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.5 Flash Lite has the number, $0.41.
Directional only
At a glance
- Coding index
- Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, Gemma 4 31B 39.0 from 2 benchmarks.
- Widest category
- Agentic work, 10.1 points apart on average over 1 shared benchmark.
- Widest single gap
- WeirdML: Gemini 3.5 Flash Lite 39.0% against Gemma 4 31B 52.3%, 13.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash Lite $2.50 against Gemma 4 31B $0.40 per million output tokens, 6.3x apart.
- Context window
- Gemini 3.5 Flash Lite takes 1.05M tokens, Gemma 4 31B 262K.
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.
| Category | Gemini 3.5 Flash Lite | Bars | Gemma 4 31B | Ties |
|---|---|---|---|---|
| Coding | 3 | 6 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 6 | ||
| Math | 0 | 3 | ||
| Knowledge | 2 | 4 | ||
| General | 7 | 17 | ||
| All shared boards | 17 | 36 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index36
| Benchmark | Gemini 3.5 Flash Lite | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 49.0% | Only Gemma 4 31B measured |
| LMArena WebDev | 1435 | 1367 | Gemini 3.5 Flash Lite |
| AA Coding Index | 49.3 | 43.4 | Gemini 3.5 Flash Lite |
| LiveCodeBench (Vals AI) | 79.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SWE-bench Verified (Vals AI) | 75.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Vibe Code Bench (Vals AI) | 37.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Code migration (Vals AI) | 6.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| CyberBench (Vals AI) | 59.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SciCode | 41.3% | 45.5% | Gemma 4 31B |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 36.4% | Only Gemma 4 31B measured |
| WeirdML | 39.0% | 52.3% | Gemma 4 31B |
| ALE-Bench | 765.3 | 925.5 | Gemma 4 31B |
| LMArena Text: coding | 1453 | 1459 | Gemma 4 31B |
| LMArena Text: software and IT | 1451 | 1463 | Gemma 4 31B |
| LMArena WebDev: React | 1408 | 1359 | Gemini 3.5 Flash Lite |
| LMArena WebDev: HTML | Not measured | 1380 | Only Gemma 4 31B measured |
| LMArena WebDev: from an image | 1448 | Not measured | Only Gemini 3.5 Flash Lite measured |
| SciCode | 6.2% | 8.9% | Gemma 4 31B |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.5 Flash Lite | Gemma 4 31B | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.2 | 14.7 | Gemini 3.5 Flash Lite |
| Epoch Capabilities Index | 144.9 | 143.0 | Gemini 3.5 Flash Lite |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.5 Flash Lite | Gemma 4 31B | Leader |
|---|---|---|---|
| AA Agentic Index | 14.3 | 4.2 | Gemini 3.5 Flash Lite |
| LiveBench research | Not measured | 44.4% | Only Gemma 4 31B measured |
| LiveBench browser | Not measured | 4.0% | Only Gemma 4 31B measured |
| LiveBench long agentic | Not measured | 13.3% | Only Gemma 4 31B measured |
| Finance Agent (Vals AI) | 47.4% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Tax Agent Bench (Vals AI) | 7.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Legal Research Bench (Vals AI) | 13.9% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Excel Modeling Benchmark (Vals AI) | 43.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| τ²-Bench Telecom | Not measured | 65.5% | Only Gemma 4 31B measured |
| APEX-Agents | 29.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index26
| Benchmark | Gemini 3.5 Flash Lite | Gemma 4 31B | Leader |
|---|---|---|---|
| GPQA Diamond | 83.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LiveBench reasoning | Not measured | 68.3% | Only Gemma 4 31B measured |
| MMMU Pro (Vals AI) | 83.6% | Not measured | Only Gemini 3.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 83.8% | 85.7% | Gemma 4 31B |
| Humanity's Last Exam (Artificial Analysis run) | 18.8% | 23.6% | Gemma 4 31B |
| GPQA Diamond (Epoch AI run) | 83.3% | 75.8% | Gemini 3.5 Flash Lite |
| ARC-AGI | 53.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ARC-AGI-2 | 10.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Chess puzzles | 21.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Mystery game puzzles | 19.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: hard prompts | 1441 | 1448 | Gemma 4 31B |
| LMArena Text: expert | 1434 | 1464 | Gemma 4 31B |
| LMArena Text: hard prompts in English | 1440 | 1456 | Gemma 4 31B |
| LMArena Vision: diagrams | 1284 | 1283 | Gemini 3.5 Flash Lite |
| LMArena Vision: homework | 1291 | 1310 | Gemma 4 31B |
| Kagi LLM Benchmark | Not measured | 63.5% | Only Gemma 4 31B measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Gemini 3.5 Flash Lite | Gemma 4 31B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 71.1% | 73.3% | Gemma 4 31B |
| FrontierMath, tiers 1 to 3 | 26.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ProofBench | 13.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: math | 1434 | 1463 | Gemma 4 31B |
| LMArena Text: mathematical work | 1433 | 1465 | Gemma 4 31B |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Gemini 3.5 Flash Lite | Gemma 4 31B | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LegalBench (Vals AI) | 84.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| CaseLaw (Vals AI) | Not measured | 52.6% | Only Gemma 4 31B measured |
| CorpFin (Vals AI) | 60.7% | Not measured | Only Gemini 3.5 Flash Lite measured |
| TaxEval (Vals AI) | 72.6% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MortgageTax (Vals AI) | 68.7% | 61.4% | Gemini 3.5 Flash Lite |
| MedCode (Vals AI) | 43.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SimpleQA Verified | Not measured | 10.4% | Only Gemma 4 31B measured |
| LMArena Text: science | 1451 | 1457 | Gemma 4 31B |
| LMArena Text: medicine and healthcare | 1438 | 1451 | Gemma 4 31B |
| LMArena Text: legal and government | 1431 | 1438 | Gemma 4 31B |
| LMArena Text: business and finance | 1423 | 1430 | Gemma 4 31B |
| FACTS Benchmark Suite | 53.5% | 45.3% | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Gemini 3.5 Flash Lite | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench design | Not measured | 58.4% | Only Gemma 4 31B measured |
| Neither model has a result on the other 8 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index717
| Benchmark | Gemini 3.5 Flash Lite | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 53.3% | Only Gemma 4 31B measured |
| Public Benefits Bench (Vals AI) | 51.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SAGE (Vals AI) | 47.3% | 55.0% | Gemma 4 31B |
| MedScribe (Vals AI) | 70.9% | Not measured | Only Gemini 3.5 Flash Lite measured |
| IFBench | Not measured | 75.6% | Only Gemma 4 31B measured |
| Long context reasoning (AA-LCR) | 76.0% | 69.7% | Gemini 3.5 Flash Lite |
| DTBench | 83.5% | 82.7% | Gemini 3.5 Flash Lite |
| LMCA | 37.6% | 39.3% | Gemma 4 31B |
| Surface Evolver Bench | Not measured | 30.6% | Only Gemma 4 31B measured |
| LMArena Text | 1435 | 1443 | Gemma 4 31B |
| LMArena Text: instruction following | 1419 | 1433 | Gemma 4 31B |
| LMArena Text: creative writing | 1421 | 1417 | Gemini 3.5 Flash Lite |
| LMArena Vision | 1269 | 1276 | Gemma 4 31B |
| LMArena Text: English | 1438 | 1451 | Gemma 4 31B |
| LMArena Text: non-English | 1427 | 1430 | Gemma 4 31B |
| LMArena Text: Chinese | 1468 | 1475 | Gemma 4 31B |
| LMArena Text: German | 1454 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: Japanese | 1426 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: Korean | 1407 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: French | 1451 | 1436 | Gemini 3.5 Flash Lite |
| LMArena Text: Spanish | 1441 | 1442 | Gemma 4 31B |
| LMArena Text: Russian | 1443 | 1460 | Gemma 4 31B |
| LMArena Text: Polish | 1437 | 1433 | Gemini 3.5 Flash Lite |
| LMArena Text: multi-turn | 1445 | 1452 | Gemma 4 31B |
| LMArena Text: longer queries | 1435 | 1446 | Gemma 4 31B |
| LMArena Text: writing and language | 1428 | 1432 | Gemma 4 31B |
| LMArena Text: entertainment and media | 1414 | 1405 | Gemini 3.5 Flash Lite |
| LMArena Vision: English | 1269 | 1271 | Gemma 4 31B |
| LMArena Vision: Chinese | 1311 | 1326 | Gemma 4 31B |
| LMArena Vision: reading text | 1280 | 1282 | Gemma 4 31B |
| LMArena Vision: humor | 1287 | 1280 | Gemini 3.5 Flash Lite |
| LMArena Vision: captioning | Not measured | 1218 | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | Not measured | 1226 | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | 1260 | 1285 | Gemma 4 31B |
| LMArena Document | Not measured | 1425 | Only Gemma 4 31B measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | Gemma 4 31B | Leader |
|---|---|---|---|
| Neither model has a result on 5 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 4 31B costs less
Repository review
50K input + 3K output tokens
Gemma 4 31B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 31B 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 Gemini 3.5 Flash Lite | Google Gemma 4 31B |
|---|---|---|
| Maker | ||
| Weights | No public weights listed | Open weights |
| Released | July 21, 2026 | April 2, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.30 | $0.14 |
| Output $/Mtok | $2.50 | $0.40 |
| Coding index | 49.0 | 39.0 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $0.41 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash Lite better than Gemma 4 31B for coding?
Pick Gemini 3.5 Flash Lite for coding: it scores 49.0 on the Vibe Coding Index against 39.0 for Gemma 4 31B. Pick Gemma 4 31B for output tokens 6.3x cheaper ($0.40 vs $2.50 per million) and work measured by SciCode or WeirdML, where it leads.
Which is cheaper, Gemini 3.5 Flash Lite or Gemma 4 31B?
Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Gemma 4 31B costs $0.14 and $0.40. Cost per solved task is known for Gemini 3.5 Flash Lite only.
Which has the bigger context window, Gemini 3.5 Flash Lite or Gemma 4 31B?
Gemini 3.5 Flash Lite, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.5 Flash Lite vs Gemma 4 31B comparison based on?
53 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 independent benchmarks and Gemma 4 31B's on 2. Where only one model has a result, the page says so instead of naming a winner.