Gemini 4 Argon vs Inkling 2 Small
Gemini 4 Argon leads Inkling 2 Small on coding, 80.3 to 48.9 on the Vibe Coding Index, and Inkling 2 Small costs 10.0x less per output token ($1.00 vs $10.00 per million). Updated November 14, 2026; 51 benchmarks have a result for both.
Gemini 4 Argon or Inkling 2 Small: which to pick
Pick Gemini 4 Argon for coding: it scores 80.3 on the Vibe Coding Index against 48.9 for Inkling 2 Small.
Pick Inkling 2 Small for output tokens 10.0x cheaper ($1.00 vs $10.00 per million) and work measured by LMArena WebDev: HTML or Long context reasoning (AA-LCR), where it leads.
- Shared results
- 51
- Gemini 4 Argon only
- 73
- Inkling 2 Small only
- 0
- 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 4 Argon
Gemini 4 Argon scores 80.3 against 48.9.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 50.4 against 30.6.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 4 Argon has a Design Arena: websites result, 1316.
Directional only
General
Vals Index
Gemini 4 Argon
Gemini 4 Argon leads, 69.4% against 56.1%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling 2 Small
Gemini 4 Argon $0.0070, Inkling 2 Small $0.0008 per turn.
List prices
At a glance
- Coding index
- Gemini 4 Argon 80.3 from 5 benchmarks, Inkling 2 Small 48.9 from 3 benchmarks.
- Widest category
- Intelligence, 19.8 points apart on average over 1 shared benchmark.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Gemini 4 Argon 57.6% against Inkling 2 Small 12.6%, 59.9 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against Inkling 2 Small $1.00 per million output tokens, 10.0x apart.
- Context window
- Both take 1.05M tokens.
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 4 Argon | Bars | Inkling 2 Small | Ties |
|---|---|---|---|---|
| Coding | 13 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 9 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 1 | 0 | ||
| Knowledge | 3 | 0 | ||
| General | 13 | 1 | ||
| All shared boards | 49 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index131
| Benchmark | Gemini 4 Argon | Inkling 2 Small | Leader |
|---|---|---|---|
| LiveBench coding | 85.7% | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev | 1681 | 1647 | Gemini 4 Argon |
| Terminal-Bench 4 (Vals AI) | 57.6% | 12.6% | Gemini 4 Argon |
| Vibe Code Bench (Vals AI) | 91.9% | 81.5% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | Not measured | Only Gemini 4 Argon measured |
| ProgramBench (Vals AI) | 2.5% | 0.5% | Gemini 4 Argon |
| IOI (Vals AI) | 100.0% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | Not measured | Only Gemini 4 Argon measured |
| SWE-bench Multimodal (Vals AI) | 56.0% | 43.1% | Gemini 4 Argon |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | Not measured | Only Gemini 4 Argon measured |
| CyberBench (Vals AI) | 77.9% | 72.7% | Gemini 4 Argon |
| SciCode | 61.8% | 52.3% | Gemini 4 Argon |
| Terminal-Bench 4.0 (Artificial Analysis run) | 57.1% | 13.1% | Gemini 4 Argon |
| FrontierCode 2.0 | 25.7% | 25.4% | Gemini 4 Argon |
| FrontierCode | 47.5% | Not measured | Only Gemini 4 Argon measured |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| MirrorCode | 58.9% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: coding | 1540 | 1455 | Gemini 4 Argon |
| LMArena Text: software and IT | 1542 | 1443 | Gemini 4 Argon |
| LMArena WebDev: React | 1702 | 1660 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1657 | 1661 | Inkling 2 Small |
| SciCode | 12.3% | Not measured | Only Gemini 4 Argon measured |
| SWE-Bench Pro V2 | 99.2% | 97.7% | Gemini 4 Argon |
| GameBench 2 | 89.2 | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench 4.0 | 54.9% | Not measured | Only Gemini 4 Argon measured |
| CursorBench 4.0 | 52.9% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | Inkling 2 Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 50.4 | 30.6 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.5 | Not measured | Only Gemini 4 Argon measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 4 Argon | Inkling 2 Small | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1284 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: agents building games | 1264 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: spreadsheets | 1159 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 86.8% | Not measured | Only Gemini 4 Argon measured |
| LiveBench browser | 82.8% | Not measured | Only Gemini 4 Argon measured |
| LiveBench long agentic | 58.5% | Not measured | Only Gemini 4 Argon measured |
| SREBench (Vals AI) | 44.3% | 1.9% | Gemini 4 Argon |
| Finance Agent (Vals AI) | 65.4% | Not measured | Only Gemini 4 Argon measured |
| Tax Agent Bench (Vals AI) | 49.2% | 38.9% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 54.8% | 46.6% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | 21.7% | Gemini 4 Argon |
| Excel Modeling Benchmark (Vals AI) | 75.2% | Not measured | Only Gemini 4 Argon measured |
| BioMysteryBench (Vals AI) | 76.3% | 70.0% | Gemini 4 Argon |
| Terminal-Bench-Science (Vals AI) | 44.3% | 2.9% | Gemini 4 Argon |
| Vals Science Index | 55.4% | 32.7% | Gemini 4 Argon |
| Time Horizon Index (Vals AI) | 52.5% | Not measured | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | 4.8% | Not measured | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | 0.8% | Not measured | Only Gemini 4 Argon measured |
| APEX-Agents | 82.4% | 46.8% | Gemini 4 Argon |
| Remote Labor Index | 17.1% | Not measured | Only Gemini 4 Argon measured |
| PostTrainBench | 40.4% | Not measured | Only Gemini 4 Argon measured |
| Vending-Bench 2 | $13,718 | Not measured | Only Gemini 4 Argon measured |
| MCP Atlas | 90.7% | 85.4% | Gemini 4 Argon |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 4 Argon | Inkling 2 Small | Leader |
|---|---|---|---|
| LiveBench reasoning | 95.1% | Not measured | Only Gemini 4 Argon measured |
| MysteryMechanism (Vals AI) | 45.5% | 25.2% | Gemini 4 Argon |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 44.1% | Gemini 4 Argon |
| HLE-Diamond (Artificial Analysis run) | 56.7% | 28.7% | Gemini 4 Argon |
| CritPt v2, hard subset (Artificial Analysis run) | 53.5% | 35.0% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI | 98.5% | 96.5% | Gemini 4 Argon |
| ARC-AGI-2 | 91.3% | 81.7% | Gemini 4 Argon |
| SimpleBench | 91.7% | Not measured | Only Gemini 4 Argon measured |
| Chess puzzles | 59.0% | Not measured | Only Gemini 4 Argon measured |
| Mystery game puzzles | 64.0% | Not measured | Only Gemini 4 Argon measured |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1542 | 1421 | Gemini 4 Argon |
| LMArena Text: expert | 1555 | 1478 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1540 | 1424 | Gemini 4 Argon |
| Humanity's Last Exam (Scale run) | 53.2% | Not measured | Only Gemini 4 Argon measured |
| GoBench | 2352 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | Inkling 2 Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Gemini 4 Argon measured |
| FrontierMath, tiers 1 to 3 | 86.0% | Not measured | Only Gemini 4 Argon measured |
| FrontierMath, tier 4 | 78.0% | Not measured | Only Gemini 4 Argon measured |
| ProofBench | 99.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: math | 1544 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: mathematical work | 1551 | Not measured | Only Gemini 4 Argon measured |
| MathArena | 62.1% | 42.4% | Gemini 4 Argon |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 4 Argon | Inkling 2 Small | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 88.3% | Not measured | Only Gemini 4 Argon measured |
| MedCode (Vals AI) | 58.8% | Not measured | Only Gemini 4 Argon measured |
| AA-Omniscience | 46.1 | 16.1 | Gemini 4 Argon |
| SimpleQA Verified | 76.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: science | 1546 | 1409 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1527 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: legal and government | 1541 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: business and finance | 1519 | 1415 | Gemini 4 Argon |
| FACTS Benchmark Suite | 72.4% | Not measured | Only Gemini 4 Argon measured |
| PRBench Finance | 49.9% | Not measured | Only Gemini 4 Argon measured |
| PRBench Legal | 49.4% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 4 Argon | Inkling 2 Small | Leader |
|---|---|---|---|
| Design Arena: websites | 1316 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: UI components | 1331 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: game dev | 1361 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: data viz | 1327 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: 3D | 1353 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: all code categories | 1326 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: SVG | 1338 | Not measured | Only Gemini 4 Argon measured |
| LiveBench design | 69.2% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index131
| Benchmark | Gemini 4 Argon | Inkling 2 Small | Leader |
|---|---|---|---|
| Vals Index | 69.4% | 56.1% | Gemini 4 Argon |
| LiveBench data analysis | 85.2% | Not measured | Only Gemini 4 Argon measured |
| Public Benefits Bench (Vals AI) | 69.8% | Not measured | Only Gemini 4 Argon measured |
| SAGE (Vals AI) | 89.5% | 88.6% | Gemini 4 Argon |
| MedScribe (Vals AI) | 87.4% | Not measured | Only Gemini 4 Argon measured |
| Long context reasoning (AA-LCR) | 79.7% | 83.3% | Inkling 2 Small |
| GDPval-AA | 1634 | 1630 | Gemini 4 Argon |
| DTBench | 97.6% | Not measured | Only Gemini 4 Argon measured |
| LMCA | 63.7% | Not measured | Only Gemini 4 Argon measured |
| Furniture assembly | 72.5% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text | 1529 | 1403 | Gemini 4 Argon |
| LMArena Text: instruction following | 1536 | 1408 | Gemini 4 Argon |
| LMArena Text: creative writing | 1533 | 1348 | Gemini 4 Argon |
| LMArena Text: English | 1529 | 1418 | Gemini 4 Argon |
| LMArena Text: non-English | 1523 | 1390 | Gemini 4 Argon |
| LMArena Text: Chinese | 1605 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: German | 1582 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Japanese | 1532 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Korean | 1501 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: French | 1553 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Spanish | 1508 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Russian | 1539 | 1377 | Gemini 4 Argon |
| LMArena Text: Polish | 1537 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: multi-turn | 1548 | 1408 | Gemini 4 Argon |
| LMArena Text: longer queries | 1547 | 1403 | Gemini 4 Argon |
| LMArena Text: writing and language | 1532 | 1381 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1522 | 1359 | Gemini 4 Argon |
| MultiChallenge | 78.7% | Not measured | Only Gemini 4 Argon measured |
| EQ-Bench 4 | 1236 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | Inkling 2 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
Inkling 2 Small costs less
Repository review
50K input + 3K output tokens
Inkling 2 Small costs less
Agent loop
200K input + 10K output tokens
Inkling 2 Small 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 4 Argon | Thinking Machines Inkling 2 Small |
|---|---|---|
| Maker | Thinking Machines | |
| Weights | No public weights listed | Open weights |
| Released | October 13, 2026 | November 9, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.30 |
| Output $/Mtok | $10.00 | $1.00 |
| Coding index | 80.3 | 48.9 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than Inkling 2 Small for coding?
Pick Gemini 4 Argon for coding: it scores 80.3 on the Vibe Coding Index against 48.9 for Inkling 2 Small. Pick Inkling 2 Small for output tokens 10.0x cheaper ($1.00 vs $10.00 per million) and work measured by LMArena WebDev: HTML or Long context reasoning (AA-LCR), where it leads.
Which is cheaper, Gemini 4 Argon or Inkling 2 Small?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; Inkling 2 Small costs $0.30 and $1.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemini 4 Argon or Inkling 2 Small?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 4 Argon vs Inkling 2 Small comparison based on?
51 benchmarks have a result for both models as of November 14, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and Inkling 2 Small's on 3. Where only one model has a result, the page says so instead of naming a winner.