Gemma 4 26B A4B vs Inkling Small
Inkling Small leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 25.7 to 16.7, and Gemma 4 26B A4B costs 2.0x less per output token ($0.60 vs $1.20 per million). Updated October 22, 2026; 45 benchmarks have a result for both.
Gemma 4 26B A4B or Inkling Small: which to pick
Only Inkling Small has a coding score, 27.3 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 2.0x cheaper ($0.60 vs $1.20 per million) and work measured by LMArena Text: software and IT or LMArena Text: hard prompts, where it leads.
- Shared results
- 45
- Gemma 4 26B A4B only
- 10
- Inkling Small only
- 39
- 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 Inkling Small has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Inkling Small
Inkling Small leads, 25.7 against 16.7.
Same board, both measured
Agentic work
AA Agentic Index
Inkling Small
Inkling Small leads, 23.5 against 2.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Inkling Small has a GPQA Diamond result, 83.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling Small has a MMLU Pro result, 85.6%.
Directional only
General
Vals Index
No call
Only Inkling Small has a Vals Index result, 27.6%.
Directional only
Long documents
Listed context window
Inkling Small
Inkling Small takes 524K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 26B A4B
Gemma 4 26B A4B $0.0004, Inkling Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Inkling Small has the number, $0.16.
Directional only
At a glance
- Coding index
- Gemma 4 26B A4B not benchmarked, Inkling Small 27.3 from 4 benchmarks.
- Widest category
- Agentic work, 20.6 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Agentic Index: Gemma 4 26B A4B 2.9 against Inkling Small 23.5, 20.6 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 26B A4B $0.60 against Inkling Small $1.20 per million output tokens, 2.0x apart.
- Context window
- Gemma 4 26B A4B takes 262K tokens, Inkling Small 524K.
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 | Gemma 4 26B A4B | Bars | Inkling Small | Ties |
|---|---|---|---|---|
| Coding | 1 | 6 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 5 | 3 | ||
| Math | 2 | 1 | ||
| Knowledge | 4 | 0 | ||
| General | 18 | 2 | ||
| All shared boards | 30 | 15 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index16
| Benchmark | Gemma 4 26B A4B | Inkling Small | Leader |
|---|---|---|---|
| LMArena WebDev | 1360 | 1409 | Inkling Small |
| AA Coding Index | 39.3 | 52.9 | Inkling Small |
| LiveCodeBench (Vals AI) | Not measured | 85.9% | Only Inkling Small measured |
| SWE-bench Verified (Vals AI) | Not measured | 82.2% | Only Inkling Small measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.0% | Only Inkling Small measured |
| Vibe Code Bench (Vals AI) | Not measured | 19.1% | Only Inkling Small measured |
| Code migration (Vals AI) | Not measured | 13.7% | Only Inkling Small measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Inkling Small measured |
| IOI (Vals AI) | Not measured | 9.3% | Only Inkling Small measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 55.1% | Only Inkling Small measured |
| SkillsBench (Vals AI) | Not measured | 33.6% | Only Inkling Small measured |
| CyberBench (Vals AI) | Not measured | 64.1% | Only Inkling Small measured |
| SciCode | 40.0% | 49.7% | Inkling Small |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Gemma 4 26B A4B measured |
| WeirdML | 35.2% | Not measured | Only Gemma 4 26B A4B measured |
| ALE-Bench | 927.2 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: coding | 1446 | 1450 | Inkling Small |
| LMArena Text: software and IT | 1454 | 1447 | Gemma 4 26B A4B |
| LMArena WebDev: React | 1351 | 1399 | Inkling Small |
| LMArena WebDev: HTML | 1362 | 1398 | Inkling Small |
| LMArena WebDev: from an image | Not measured | 1410 | Only Inkling Small measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 4 26B A4B | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | 25.7 | Inkling Small |
| Epoch Capabilities Index | 141.9 | 150.3 | Inkling Small |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 26B A4B | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | 2.9 | 23.5 | Inkling Small |
| Finance Agent (Vals AI) | Not measured | 41.3% | Only Inkling Small measured |
| Tax Agent Bench (Vals AI) | Not measured | 15.4% | Only Inkling Small measured |
| Legal Research Bench (Vals AI) | Not measured | 25.5% | Only Inkling Small measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 2.9% | Only Inkling Small measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 31.8% | Only Inkling Small measured |
| τ²-Bench Telecom | 43.6% | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index53
| Benchmark | Gemma 4 26B A4B | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 83.6% | Only Inkling Small measured |
| GPQA Diamond (Artificial Analysis run) | 79.2% | 89.5% | Inkling Small |
| Humanity's Last Exam (Artificial Analysis run) | 19.3% | 33.3% | Inkling Small |
| GPQA Diamond (Epoch AI run) | 73.2% | 88.5% | Inkling Small |
| ARC-AGI | Not measured | 84.0% | Only Inkling Small measured |
| ARC-AGI-2 | Not measured | 40.1% | Only Inkling Small measured |
| Mystery game puzzles | Not measured | 6.0% | Only Inkling Small measured |
| LMArena Text: hard prompts | 1438 | 1423 | Gemma 4 26B A4B |
| LMArena Text: expert | 1447 | 1441 | Gemma 4 26B A4B |
| LMArena Text: hard prompts in English | 1448 | 1429 | Gemma 4 26B A4B |
| LMArena Vision: diagrams | 1264 | 1251 | Gemma 4 26B A4B |
| LMArena Vision: homework | 1293 | 1257 | Gemma 4 26B A4B |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemma 4 26B A4B | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 82.2% | 90.0% | Inkling Small |
| FrontierMath, tiers 1 to 3 | Not measured | 46.3% | Only Inkling Small measured |
| FrontierMath, tier 4 | Not measured | 17.1% | Only Inkling Small measured |
| ProofBench | Not measured | 6.0% | Only Inkling Small measured |
| LMArena Text: math | 1470 | 1459 | Gemma 4 26B A4B |
| LMArena Text: mathematical work | 1475 | 1441 | Gemma 4 26B A4B |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemma 4 26B A4B | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.6% | Only Inkling Small measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling Small measured |
| CorpFin (Vals AI) | Not measured | 69.6% | Only Inkling Small measured |
| TaxEval (Vals AI) | Not measured | 75.5% | Only Inkling Small measured |
| MortgageTax (Vals AI) | Not measured | 62.3% | Only Inkling Small measured |
| MedCode (Vals AI) | Not measured | 37.9% | Only Inkling Small measured |
| SimpleQA Verified | Not measured | 19.1% | Only Inkling Small measured |
| LMArena Text: science | 1446 | 1428 | Gemma 4 26B A4B |
| LMArena Text: medicine and healthcare | 1428 | 1413 | Gemma 4 26B A4B |
| LMArena Text: legal and government | 1457 | 1415 | Gemma 4 26B A4B |
| LMArena Text: business and finance | 1429 | 1413 | Gemma 4 26B A4B |
| FACTS Benchmark Suite | 42.7% | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 6 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 26B A4B | Inkling Small | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
| Benchmark | Gemma 4 26B A4B | Inkling Small | Leader |
|---|---|---|---|
| Vals Index | Not measured | 27.6% | Only Inkling Small measured |
| Public Benefits Bench (Vals AI) | Not measured | 59.4% | Only Inkling Small measured |
| SAGE (Vals AI) | Not measured | 32.7% | Only Inkling Small measured |
| MedScribe (Vals AI) | Not measured | 84.1% | Only Inkling Small measured |
| Vals Multimodal Index | Not measured | 50.0% | Only Inkling Small measured |
| IFBench | 72.4% | Not measured | Only Gemma 4 26B A4B measured |
| Long context reasoning (AA-LCR) | 65.7% | 75.7% | Inkling Small |
| DTBench | 74.9% | Not measured | Only Gemma 4 26B A4B measured |
| LMCA | 29.7% | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text | 1434 | 1413 | Gemma 4 26B A4B |
| LMArena Text: instruction following | 1420 | 1399 | Gemma 4 26B A4B |
| LMArena Text: creative writing | 1400 | 1334 | Gemma 4 26B A4B |
| LMArena Vision | 1260 | 1237 | Gemma 4 26B A4B |
| LMArena Text: English | 1444 | 1421 | Gemma 4 26B A4B |
| LMArena Text: non-English | 1421 | 1401 | Gemma 4 26B A4B |
| LMArena Text: Chinese | 1495 | 1464 | Gemma 4 26B A4B |
| LMArena Text: German | Not measured | 1408 | Only Inkling Small measured |
| LMArena Text: Japanese | Not measured | 1401 | Only Inkling Small measured |
| LMArena Text: Korean | Not measured | 1367 | Only Inkling Small measured |
| LMArena Text: French | 1460 | 1435 | Gemma 4 26B A4B |
| LMArena Text: Spanish | 1415 | 1422 | Inkling Small |
| LMArena Text: Russian | 1434 | 1394 | Gemma 4 26B A4B |
| LMArena Text: Polish | Not measured | 1428 | Only Inkling Small measured |
| LMArena Text: multi-turn | 1441 | 1416 | Gemma 4 26B A4B |
| LMArena Text: longer queries | 1427 | 1402 | Gemma 4 26B A4B |
| LMArena Text: writing and language | 1405 | 1357 | Gemma 4 26B A4B |
| LMArena Text: entertainment and media | 1403 | 1352 | Gemma 4 26B A4B |
| LMArena Vision: English | 1256 | 1243 | Gemma 4 26B A4B |
| LMArena Vision: Chinese | 1312 | 1292 | Gemma 4 26B A4B |
| LMArena Vision: reading text | 1268 | 1243 | Gemma 4 26B A4B |
| LMArena Vision: humor | 1272 | 1207 | Gemma 4 26B A4B |
| LMArena Vision: captioning | 1297 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | 1191 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: creative writing | 1256 | 1205 | Gemma 4 26B A4B |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 26B A4B | Inkling Small | 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 Gemma 4 26B A4B | Thinking Machines Inkling Small |
|---|---|---|
| Maker | Thinking Machines | |
| Weights | Open weights | Open weights |
| Released | April 3, 2026 | July 30, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.15 | $0.45 |
| Output $/Mtok | $0.60 | $1.20 |
| Coding index | Not benchmarked | 27.3 |
| Independent measurements behind it | 1 | 4 |
| Cost per solved task | Not computable | $0.16 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 26B A4B better than Inkling Small for coding?
Only Inkling Small has a coding score, 27.3 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 2.0x cheaper ($0.60 vs $1.20 per million) and work measured by LMArena Text: software and IT or LMArena Text: hard prompts, where it leads.
Which is cheaper, Gemma 4 26B A4B or Inkling Small?
Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; Inkling Small costs $0.45 and $1.20. Cost per solved task is known for Inkling Small only.
Which has the bigger context window, Gemma 4 26B A4B or Inkling Small?
Inkling Small, with 524K tokens against 262K.
How many benchmarks is the Gemma 4 26B A4B vs Inkling Small comparison based on?
45 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Inkling Small's on 4. Where only one model has a result, the page says so instead of naming a winner.