Gemini 3.1 Pro Preview vs Gemma 4 26B A4B
Gemini 3.1 Pro Preview leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 29.7 to 16.7, and Gemma 4 26B A4B costs 20.0x less per output token ($0.60 vs $12.00 per million). Updated October 22, 2026; 54 benchmarks have a result for both.
vs boards won of 54 shared
Gemini 3.1 Pro Preview or Gemma 4 26B A4B: which to pick
Only Gemini 3.1 Pro Preview has a coding score, 32.3 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding.
Pick Gemma 4 26B A4B for output tokens 20.0x cheaper ($0.60 vs $12.00 per million).
Model AGemini 3.1 Pro PreviewGoogle32.3/1004 independent benchmarks$0.99 per solved taskModel BGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved task
- Shared results
- 54
- Gemini 3.1 Pro Preview only
- 79
- Gemma 4 26B A4B only
- 1
- 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
No call
Only Gemini 3.1 Pro Preview has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 16.7.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 8.2 against 2.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.1 Pro Preview has a GPQA Diamond result, 95.5%.
Directional only
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.1 Pro Preview has a MMLU Pro result, 91.0%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 3.1 Pro Preview has a Design Arena: websites result, 1233.
Directional only
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 26B A4B
Gemini 3.1 Pro Preview $0.0080, Gemma 4 26B A4B $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.1 Pro Preview has the number, $0.99.
Directional only
At a glance
- Coding index
- Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, Gemma 4 26B A4B not benchmarked.
- Widest category
- Agentic work, 28.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Gemini 3.1 Pro Preview 95.6% against Gemma 4 26B A4B 43.6%, 52.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against Gemma 4 26B A4B $0.60 per million output tokens, 20.0x apart.
- Context window
- Gemini 3.1 Pro Preview takes 1.05M tokens, Gemma 4 26B A4B 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 3.1 Pro Preview | Bars | Gemma 4 26B A4B | Ties |
|---|---|---|---|---|
| Coding | 10 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 8 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 5 | 0 | ||
| General | 25 | 0 | ||
| All shared boards | 54 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index100
| Benchmark | Gemini 3.1 Pro Preview | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| LMArena WebDev | 1447 | 1360 | Gemini 3.1 Pro Preview |
| AA Coding Index | 68.8 | 39.3 | Gemini 3.1 Pro Preview |
| LiveCodeBench (Vals AI) | 88.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SWE-bench Verified (Vals AI) | 78.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 4 (Vals AI) | 2.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench (Vals AI) | 32.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Code migration (Vals AI) | 17.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IOI (Vals AI) | 51.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 2.1 (Vals AI) | 70.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench 1-100 (Vals AI) | 6.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SciCode | 58.7% | 40.0% | Gemini 3.1 Pro Preview |
| Terminal-Bench Hard (Artificial Analysis run) | 53.8% | 25.0% | Gemini 3.1 Pro Preview |
| Terminal-Bench | 80.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| GSO-Bench | 22.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| WeirdML | 72.1% | 35.2% | Gemini 3.1 Pro Preview |
| MirrorCode | 8.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | 1160.6 | 927.2 | Gemini 3.1 Pro Preview |
| LMArena Text: coding | 1484 | 1446 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1487 | 1454 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | 1438 | 1351 | Gemini 3.1 Pro Preview |
| LMArena WebDev: HTML | 1490 | 1362 | Gemini 3.1 Pro Preview |
| LMArena WebDev: from an image | 1481 | Not measured | Only Gemini 3.1 Pro Preview measured |
| SciCode | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.1 Pro Preview | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 16.7 | Gemini 3.1 Pro Preview |
| Epoch Capabilities Index | Not measured | 141.9 | Only Gemma 4 26B A4B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.1 Pro Preview | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | 2.9 | Gemini 3.1 Pro Preview |
| Design Arena: agents building web apps | 1125 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building full-stack apps | 1068 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building mobile apps | 1094 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Android apps | 1049 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Godot games | 1236 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building games | 1113 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | 1103 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | 1041 | Not measured | Only Gemini 3.1 Pro Preview measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Finance Agent (Vals AI) | 43.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Tax Agent Bench (Vals AI) | 9.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Legal Research Bench (Vals AI) | 20.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Excel Modeling Benchmark (Vals AI) | 52.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| BioMysteryBench (Vals AI) | 60.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | 1.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vals Science Index | 27.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | 95.6% | 43.6% | Gemini 3.1 Pro Preview |
| APEX-Agents | 35.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| METR time horizons | 77.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| BALROG | 57.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | 47.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| PostTrainBench | 22.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vending-Bench 2 | $911 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.1 Pro Preview | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MysteryMechanism (Vals AI) | 20.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | 88.2% | Not measured | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 79.2% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 19.3% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Epoch AI run) | 94.4% | 73.2% | Gemini 3.1 Pro Preview |
| ARC-AGI | 98.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI-2 | 77.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SimpleBench | 79.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Chess puzzles | 51.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Mystery game puzzles | 34.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| EBR-bench | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts | 1485 | 1438 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1483 | 1447 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1480 | 1448 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | 1311 | 1264 | Gemini 3.1 Pro Preview |
| LMArena Vision: homework | 1316 | 1293 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 3.1 Pro Preview | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AIME | 98.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| OTIS Mock AIME | 95.6% | 82.2% | Gemini 3.1 Pro Preview |
| FrontierMath, tiers 1 to 3 | 59.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ProofBench | 26.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: math | 1486 | 1470 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1478 | 1475 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 3.1 Pro Preview | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| MMLU Pro | 91.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LegalBench (Vals AI) | 87.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CaseLaw (Vals AI) | 64.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CorpFin (Vals AI) | 64.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| TaxEval (Vals AI) | 72.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MortgageTax (Vals AI) | 69.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedQA (Vals AI) | 96.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedCode (Vals AI) | 59.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SimpleQA Verified | 73.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: science | 1497 | 1446 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1486 | 1428 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1487 | 1457 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1459 | 1429 | Gemini 3.1 Pro Preview |
| FACTS Benchmark Suite | 67.4% | 42.7% | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| Design Arena: websites | 1233 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: UI components | 1224 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: game dev | 1202 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: data viz | 1209 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: 3D | 1234 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: all code categories | 1231 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: SVG | 1285 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: ASCII art | 1270 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
| Benchmark | Gemini 3.1 Pro Preview | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | 48.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MedScribe (Vals AI) | 76.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vals Multimodal Index | 56.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IFBench | 77.1% | 72.4% | Gemini 3.1 Pro Preview |
| Long context reasoning (AA-LCR) | 82.0% | 65.7% | Gemini 3.1 Pro Preview |
| DTBench | 97.1% | 74.9% | Gemini 3.1 Pro Preview |
| LMCA | 53.8% | 29.7% | Gemini 3.1 Pro Preview |
| CL-bench | 20.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ExploitBench | 26.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CL-bench Life | 16.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text | 1480 | 1434 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1466 | 1420 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1482 | 1400 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | 1260 | Gemini 3.1 Pro Preview |
| LMArena Text: English | 1478 | 1444 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1476 | 1421 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1495 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1490 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Japanese | 1491 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Korean | 1455 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: French | 1487 | 1460 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1481 | 1415 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1497 | 1434 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: multi-turn | 1487 | 1441 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1482 | 1427 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1481 | 1405 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1403 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | 1256 | Gemini 3.1 Pro Preview |
| LMArena Vision: Chinese | 1364 | 1312 | Gemini 3.1 Pro Preview |
| LMArena Vision: reading text | 1304 | 1268 | Gemini 3.1 Pro Preview |
| LMArena Vision: humor | 1322 | 1272 | Gemini 3.1 Pro Preview |
| LMArena Vision: captioning | 1345 | 1297 | Gemini 3.1 Pro Preview |
| LMArena Vision: recognizing things | 1330 | 1191 | Gemini 3.1 Pro Preview |
| LMArena Vision: creative writing | 1324 | 1256 | Gemini 3.1 Pro Preview |
| LMArena Document | 1444 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 8 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | Gemma 4 26B A4B | 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
Gemini 3.1 Pro Preview$0.0080Fits in one request
Gemma 4 26B A4B$0.0004Fits in one request
Gemma 4 26B A4B costs less
Repository review
50K input + 3K output tokens
Gemini 3.1 Pro Preview$0.136Fits in one request
Gemma 4 26B A4B$0.0093Fits in one request
Gemma 4 26B A4B costs less
Agent loop
200K input + 10K output tokens
Gemini 3.1 Pro Preview$0.520Fits in one request
Gemma 4 26B A4B$0.036Fits in one request
Gemma 4 26B A4B 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 3.1 Pro Preview | Google Gemma 4 26B A4B |
|---|---|---|
| Maker | ||
| Weights | No public weights listed | Open weights |
| Released | February 19, 2026 | April 3, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $2.00 | $0.15 |
| Output $/Mtok | $12.00 | $0.60 |
| Coding index | 32.3 | Not benchmarked |
| Independent measurements behind it | 4 | 1 |
| Cost per solved task | $0.99 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than Gemma 4 26B A4B for coding?
Only Gemini 3.1 Pro Preview has a coding score, 32.3 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 20.0x cheaper ($0.60 vs $12.00 per million).
Which is cheaper, Gemini 3.1 Pro Preview or Gemma 4 26B A4B?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; Gemma 4 26B A4B costs $0.15 and $0.60. Cost per solved task is known for Gemini 3.1 Pro Preview only.
Which has the bigger context window, Gemini 3.1 Pro Preview or Gemma 4 26B A4B?
Gemini 3.1 Pro Preview, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.1 Pro Preview vs Gemma 4 26B A4B comparison based on?
54 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Pro Preview's coding index rests on 4 independent benchmarks and Gemma 4 26B A4B's on 1. Where only one model has a result, the page says so instead of naming a winner.