Model comparison
Grok 4.7 vs Inkling-Small
Grok 4.7 is the stronger model overall, scoring 53.1 to 46.5 on the Noometry Index. Inkling-Small costs 4.7× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
Summary
- They share 28 benchmarks with published results for both. Grok 4.7 scores higher in 7 categories and Inkling-Small in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.7 leads 62.8 to 48.2.
- The biggest single-benchmark swing is SimpleQA Verified: 56% for Grok 4.7 and 19.1% for Inkling-Small.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $2 / $6 for Grok 4.7.
- Inkling-Small accepts more context: 524K tokens versus 500K.
- Inkling-Small has downloadable open weights; the other is API-only.
Side by side
| Grok 4.7 | Inkling-Small | |
|---|---|---|
| Provider | xAI | Thinking Machines Lab |
| Noometry Index | 53.1 | 46.5 |
| Released | 2026-09-21 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | 500K | 524K |
| Max output | 500K | 1.05M |
| Input $ / M tokens | $2 | $0.45 |
| Output $ / M tokens | $6 | $1.20 |
| Results tracked | 39 | 33 |
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Category by category
Coding Grok 4.7 leads
Grok 4.7: 58.0 (#18), Inkling-Small: 43.6 (#85)
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| LMArena WebDev | 1639 | 1409 |
| SciCode | 57.8% | 48.7% |
| LMArena Coding | 1427 | 1451 |
| FrontierCode | 47.6% | — |
| CursorBench | 46.3% | — |
| FrontierSWE | 29.5% | — |
Agentic & Tool Use Not comparable
Grok 4.7: 36.7 (#37), Inkling-Small: —
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| APEX-Agents | 54.6% | — |
| GDP.pdf | 22.8% | — |
| Vending-Bench 2 | 10,537 | — |
Reasoning Grok 4.7 leads
Grok 4.7: 49.1 (#40), Inkling-Small: 38.6 (#63)
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| CritPt | 18% | 8.3% |
| Chess Puzzles | 38% | 18% |
| LMArena Hard Prompts | 1413 | 1423 |
| Mystery Game Puzzles | 29% | 6% |
| Epoch Capabilities Index | 153.53 | 150.15 |
| ARC-AGI-2 | — | 40.1% |
| NYT Connections (extended) | 76.8% | — |
| ARC-AGI-1 | — | 84% |
| DTBench | 96% | — |
| LMCA | 49.4% | — |
Math Grok 4.7 leads
Grok 4.7: 57.8 (#39), Inkling-Small: 45.1 (#77)
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| FrontierMath (Tiers 1-3) | 53% | 46.3% |
| FrontierMath Tier 4 | 17.1% | 17.1% |
| OTIS Mock AIME 2024-2025 | 98.1% | 90% |
| ProofBench | 34% | 6% |
| LMArena Math | 1407 | 1459 |
Knowledge Grok 4.7 leads
Grok 4.7: 62.8 (#22), Inkling-Small: 48.2 (#77)
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| GPQA Diamond | 92.7% | 88.5% |
| SimpleQA Verified | 56% | 19.1% |
| LMArena Expert | 1422 | 1442 |
Multimodal Inkling-Small leads
Grok 4.7: 35.5 (#87), Inkling-Small: 39.1 (#62)
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| LMArena Vision | 1228 | 1235 |
| Blueprint-Bench 2 | 32.5% | — |
| Furniture Assembly | 20.8% | — |
Multilingual Too close to call
Grok 4.7: 50.8 (#116), Inkling-Small: 51.7 (#104)
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| LMArena Non-English | 1389 | 1402 |
| LMArena Chinese | 1455 | 1465 |
| LMArena French | 1455 | 1436 |
| LMArena Russian | 1397 | 1391 |
| LMArena Spanish | 1400 | 1428 |
| LMArena German | — | 1405 |
| LMArena Japanese | — | 1405 |
| LMArena Korean | — | 1363 |
Instruction Following Too close to call
Grok 4.7: 74.1 (#105), Inkling-Small: 73.8 (#114)
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | 1404 | 1399 |
Long Context Too close to call
Grok 4.7: 43.1 (#104), Inkling-Small: 42.7 (#118)
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| LMArena Longer Query | 1413 | 1401 |
Writing & Preference Grok 4.7 leads
Grok 4.7: 70.0 (#24), Inkling-Small: 59.6 (#107)
| Benchmark | Grok 4.7 | Inkling-Small |
|---|---|---|
| LMArena Text | 1399 | 1414 |
| LMArena Creative Writing | 1391 | 1331 |
| EQ-Bench Creative Writing | 2007 | 1491 |
| LMArena Multi-Turn | 1393 | 1418 |
Frequently asked questions
Is Grok 4.7 better than Inkling-Small?
Grok 4.7 is the stronger model overall, scoring 53.1 to 46.5 on the Noometry Index. Inkling-Small costs 4.7× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.
Which is cheaper, Grok 4.7 or Inkling-Small?
Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; Grok 4.7 lists at $2 and $6.
Is Grok 4.7 or Inkling-Small better for coding?
Grok 4.7 scores higher on coding benchmarks: 58.0 versus 43.6 in the Noometry coding category.
Which has the bigger context window?
Inkling-Small does, with 524K tokens against 500K.
How many benchmarks do Grok 4.7 and Inkling-Small share?
28 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and Inkling-Small has 33.