Gemini 3.7 Flash vs Gemma 4 26B A4B
Gemini 3.7 Flash leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 39.6 to 16.7, and Gemma 4 26B A4B costs 6.3x less per output token ($0.60 vs $3.75 per million). Updated October 22, 2026; 48 benchmarks have a result for both.
Gemini 3.7 Flash or Gemma 4 26B A4B: which to pick
Only Gemini 3.7 Flash has a coding score, 58.0 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 6.3x cheaper ($0.60 vs $3.75 per million) and work measured by ALE-Bench, where it leads.
- Shared results
- 48
- Gemini 3.7 Flash only
- 66
- Gemma 4 26B A4B only
- 7
- Like-for-like categories
- 6 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 3.7 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 39.6 against 16.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemma 4 26B A4B has a AA Agentic Index result, 2.9.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.7 Flash has a GPQA Diamond result, 93.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.7 Flash has a MMLU Pro result, 90.1%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 3.7 Flash has a Design Arena: websites result, 1303.
Directional only
Long documents
Listed context window
Gemini 3.7 Flash
Gemini 3.7 Flash takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 26B A4B
Gemini 3.7 Flash $0.0026, Gemma 4 26B A4B $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.7 Flash has the number, $1.78.
Directional only
At a glance
- Coding index
- Gemini 3.7 Flash 58.0 from 6 benchmarks, Gemma 4 26B A4B not benchmarked.
- Widest category
- Coding, 22.5 points apart on average over 8 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Gemini 3.7 Flash 1587 against Gemma 4 26B A4B 1351, 39.4 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.7 Flash $3.75 against Gemma 4 26B A4B $0.60 per million output tokens, 6.3x apart.
- Context window
- Gemini 3.7 Flash 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 3.7 Flash | Bars | Gemma 4 26B A4B | Ties |
|---|---|---|---|---|
| Coding | 7 | 1 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 8 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 5 | 0 | ||
| General | 22 | 0 | ||
| All shared boards | 47 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index71
| Benchmark | Gemini 3.7 Flash | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| LiveBench coding | 80.5% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena WebDev | 1591 | 1360 | Gemini 3.7 Flash |
| AA Coding Index | 71.5 | 39.3 | Gemini 3.7 Flash |
| LiveCodeBench (Vals AI) | 88.7% | Not measured | Only Gemini 3.7 Flash measured |
| SWE-bench Verified (Vals AI) | 80.8% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench 4 (Vals AI) | 12.1% | Not measured | Only Gemini 3.7 Flash measured |
| Vibe Code Bench (Vals AI) | 70.4% | Not measured | Only Gemini 3.7 Flash measured |
| Code migration (Vals AI) | 34.8% | Not measured | Only Gemini 3.7 Flash measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.7 Flash measured |
| IOI (Vals AI) | 67.8% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 77.5% | Not measured | Only Gemini 3.7 Flash measured |
| SkillsBench (Vals AI) | 65.9% | Not measured | Only Gemini 3.7 Flash measured |
| CyberBench (Vals AI) | 43.8% | Not measured | Only Gemini 3.7 Flash measured |
| SciCode | 59.8% | 40.0% | Gemini 3.7 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 25.0% | Only Gemma 4 26B A4B measured |
| FrontierCode | 43.6% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierSWE | 20.3% | Not measured | Only Gemini 3.7 Flash measured |
| WeirdML | Not measured | 35.2% | Only Gemma 4 26B A4B measured |
| ALE-Bench | 904.3 | 927.2 | Gemma 4 26B A4B |
| LMArena Text: coding | 1499 | 1446 | Gemini 3.7 Flash |
| LMArena Text: software and IT | 1498 | 1454 | Gemini 3.7 Flash |
| LMArena WebDev: React | 1587 | 1351 | Gemini 3.7 Flash |
| LMArena WebDev: HTML | 1593 | 1362 | Gemini 3.7 Flash |
| LMArena WebDev: from an image | 1599 | Not measured | Only Gemini 3.7 Flash measured |
| SciCode | 13.8% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.7 Flash | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AA Intelligence Index | 39.6 | 16.7 | Gemini 3.7 Flash |
| Epoch Capabilities Index | 158.0 | 141.9 | Gemini 3.7 Flash |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
| Benchmark | Gemini 3.7 Flash | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 2.9 | Only Gemma 4 26B A4B measured |
| Design Arena: agents building web apps | 1223 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building full-stack apps | 1208 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building mobile apps | 1229 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Android apps | 1243 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Godot games | 1264 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: agents building games | 1235 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: spreadsheets | 1058 | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench research | 76.5% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench browser | 56.0% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench long agentic | 28.3% | Not measured | Only Gemini 3.7 Flash measured |
| SREBench (Vals AI) | 4.6% | Not measured | Only Gemini 3.7 Flash measured |
| Finance Agent (Vals AI) | 59.0% | Not measured | Only Gemini 3.7 Flash measured |
| Tax Agent Bench (Vals AI) | 22.8% | Not measured | Only Gemini 3.7 Flash measured |
| Legal Research Bench (Vals AI) | 34.6% | Not measured | Only Gemini 3.7 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 71.3% | Not measured | Only Gemini 3.7 Flash measured |
| Terminal-Bench-Science (Vals AI) | 7.1% | Not measured | Only Gemini 3.7 Flash measured |
| τ²-Bench Telecom | Not measured | 43.6% | Only Gemma 4 26B A4B measured |
| APEX-Agents | 67.8% | Not measured | Only Gemini 3.7 Flash measured |
| Remote Labor Index | 5.0% | Not measured | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.7 Flash | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| GPQA Diamond | 93.9% | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench reasoning | 87.8% | Not measured | Only Gemini 3.7 Flash measured |
| MMMU Pro (Vals AI) | 89.0% | Not measured | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 94.5% | 79.2% | Gemini 3.7 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 47.9% | 19.3% | Gemini 3.7 Flash |
| GPQA Diamond (Epoch AI run) | 94.8% | 73.2% | Gemini 3.7 Flash |
| ARC-AGI | 95.5% | Not measured | Only Gemini 3.7 Flash measured |
| ARC-AGI-2 | 84.6% | Not measured | Only Gemini 3.7 Flash measured |
| Chess puzzles | 66.0% | Not measured | Only Gemini 3.7 Flash measured |
| Mystery game puzzles | 37.0% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: hard prompts | 1495 | 1438 | Gemini 3.7 Flash |
| LMArena Text: expert | 1512 | 1447 | Gemini 3.7 Flash |
| LMArena Text: hard prompts in English | 1487 | 1448 | Gemini 3.7 Flash |
| LMArena Vision: diagrams | 1329 | 1264 | Gemini 3.7 Flash |
| LMArena Vision: homework | 1320 | 1293 | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 3.7 Flash | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.2% | 82.2% | Gemini 3.7 Flash |
| FrontierMath, tiers 1 to 3 | 71.6% | Not measured | Only Gemini 3.7 Flash measured |
| FrontierMath, tier 4 | 36.6% | Not measured | Only Gemini 3.7 Flash measured |
| ProofBench | 58.0% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: math | 1511 | 1470 | Gemini 3.7 Flash |
| LMArena Text: mathematical work | 1502 | 1475 | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 3.7 Flash | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| MMLU Pro | 90.1% | Not measured | Only Gemini 3.7 Flash measured |
| LegalBench (Vals AI) | 87.3% | Not measured | Only Gemini 3.7 Flash measured |
| TaxEval (Vals AI) | 74.7% | Not measured | Only Gemini 3.7 Flash measured |
| MortgageTax (Vals AI) | 66.7% | Not measured | Only Gemini 3.7 Flash measured |
| MedCode (Vals AI) | 53.4% | Not measured | Only Gemini 3.7 Flash measured |
| SimpleQA Verified | 69.2% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: science | 1511 | 1446 | Gemini 3.7 Flash |
| LMArena Text: medicine and healthcare | 1494 | 1428 | Gemini 3.7 Flash |
| LMArena Text: legal and government | 1496 | 1457 | Gemini 3.7 Flash |
| LMArena Text: business and finance | 1479 | 1429 | Gemini 3.7 Flash |
| FACTS Benchmark Suite | 71.2% | 42.7% | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.7 Flash | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| Design Arena: websites | 1303 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: UI components | 1296 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: game dev | 1317 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: data viz | 1315 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: 3D | 1307 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: all code categories | 1308 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: SVG | 1283 | Not measured | Only Gemini 3.7 Flash measured |
| Design Arena: ASCII art | 1276 | Not measured | Only Gemini 3.7 Flash measured |
| LiveBench design | 73.2% | Not measured | Only Gemini 3.7 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
| Benchmark | Gemini 3.7 Flash | Gemma 4 26B A4B | Leader |
|---|---|---|---|
| LiveBench data analysis | 68.0% | Not measured | Only Gemini 3.7 Flash measured |
| SAGE (Vals AI) | 49.2% | Not measured | Only Gemini 3.7 Flash measured |
| MedScribe (Vals AI) | 83.9% | Not measured | Only Gemini 3.7 Flash measured |
| IFBench | Not measured | 72.4% | Only Gemma 4 26B A4B measured |
| Long context reasoning (AA-LCR) | 83.0% | 65.7% | Gemini 3.7 Flash |
| DTBench | 96.8% | 74.9% | Gemini 3.7 Flash |
| LMCA | 50.4% | 29.7% | Gemini 3.7 Flash |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text | 1489 | 1434 | Gemini 3.7 Flash |
| LMArena Text: instruction following | 1484 | 1420 | Gemini 3.7 Flash |
| LMArena Text: creative writing | 1488 | 1400 | Gemini 3.7 Flash |
| LMArena Vision | 1314 | 1260 | Gemini 3.7 Flash |
| LMArena Text: English | 1483 | 1444 | Gemini 3.7 Flash |
| LMArena Text: non-English | 1487 | 1421 | Gemini 3.7 Flash |
| LMArena Text: Chinese | 1552 | 1495 | Gemini 3.7 Flash |
| LMArena Text: German | 1506 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: Japanese | 1511 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: Korean | 1481 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: French | 1500 | 1460 | Gemini 3.7 Flash |
| LMArena Text: Spanish | 1495 | 1415 | Gemini 3.7 Flash |
| LMArena Text: Russian | 1515 | 1434 | Gemini 3.7 Flash |
| LMArena Text: Polish | 1503 | Not measured | Only Gemini 3.7 Flash measured |
| LMArena Text: multi-turn | 1485 | 1441 | Gemini 3.7 Flash |
| LMArena Text: longer queries | 1492 | 1427 | Gemini 3.7 Flash |
| LMArena Text: writing and language | 1491 | 1405 | Gemini 3.7 Flash |
| LMArena Text: entertainment and media | 1477 | 1403 | Gemini 3.7 Flash |
| LMArena Vision: English | 1309 | 1256 | Gemini 3.7 Flash |
| LMArena Vision: Chinese | 1394 | 1312 | Gemini 3.7 Flash |
| LMArena Vision: reading text | 1322 | 1268 | Gemini 3.7 Flash |
| LMArena Vision: humor | 1299 | 1272 | Gemini 3.7 Flash |
| LMArena Vision: captioning | Not measured | 1297 | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | Not measured | 1191 | Only Gemma 4 26B A4B measured |
| LMArena Vision: creative writing | 1312 | 1256 | Gemini 3.7 Flash |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.7 Flash | 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
Gemma 4 26B A4B costs less
Repository review
50K input + 3K output tokens
Gemma 4 26B A4B costs less
Agent loop
200K input + 10K output tokens
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 3.7 Flash | Google Gemma 4 26B A4B |
|---|---|---|
| Maker | ||
| Weights | No public weights listed | Open weights |
| Released | August 13, 2026 | April 3, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.75 | $0.15 |
| Output $/Mtok | $3.75 | $0.60 |
| Coding index | 58.0 | Not benchmarked |
| Independent measurements behind it | 6 | 1 |
| Cost per solved task | $1.78 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.7 Flash better than Gemma 4 26B A4B for coding?
Only Gemini 3.7 Flash has a coding score, 58.0 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 6.3x cheaper ($0.60 vs $3.75 per million) and work measured by ALE-Bench, where it leads.
Which is cheaper, Gemini 3.7 Flash or Gemma 4 26B A4B?
Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Gemma 4 26B A4B costs $0.15 and $0.60. Cost per solved task is known for Gemini 3.7 Flash only.
Which has the bigger context window, Gemini 3.7 Flash or Gemma 4 26B A4B?
Gemini 3.7 Flash, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.7 Flash vs Gemma 4 26B A4B comparison based on?
48 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 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.