Model comparison
GPT-6.1 Sol vs Inkling-Small
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 46.5 on the Noometry Index. Inkling-Small costs 6.3× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and Inkling-Small in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 45.1.
- The biggest single-benchmark swing is ProofBench: 99% for GPT-6.1 Sol and 6% for Inkling-Small.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 524K.
- Inkling-Small has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Inkling-Small | |
|---|---|---|
| Provider | OpenAI | Thinking Machines Lab |
| Noometry Index | 65.6 | 46.5 |
| Released | 2026-09-29 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 524K |
| Max output | 128K | 1.05M |
| Input $ / M tokens | $2 | $0.45 |
| Output $ / M tokens | $10 | $1.20 |
| Results tracked | 34 | 33 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Inkling-Small: 43.6 (#85)
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| LMArena WebDev | 1755 | 1409 |
| SciCode | 55.8% | 48.7% |
| LMArena Coding | 1487 | 1451 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), Inkling-Small: —
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Inkling-Small: 38.6 (#63)
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| ARC-AGI-2 | 94.2% | 40.1% |
| ARC-AGI-1 | 98.5% | 84% |
| CritPt | 31.7% | 8.3% |
| Chess Puzzles | 61% | 18% |
| LMArena Hard Prompts | 1466 | 1423 |
| Mystery Game Puzzles | 80% | 6% |
| Epoch Capabilities Index | 166.09 | 150.15 |
| NYT Connections (extended) | 95.5% | — |
| EBR-Bench | 54.3% | — |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Inkling-Small: 45.1 (#77)
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | 46.3% |
| FrontierMath Tier 4 | 100% | 17.1% |
| OTIS Mock AIME 2024-2025 | 100% | 90% |
| ProofBench | 99% | 6% |
| LMArena Math | 1464 | 1459 |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Inkling-Small: 48.2 (#77)
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| GPQA Diamond | 95.4% | 88.5% |
| SimpleQA Verified | 73.9% | 19.1% |
| LMArena Expert | 1502 | 1442 |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), Inkling-Small: 39.1 (#62)
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| LMArena Vision | 1288 | 1235 |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Inkling-Small: 51.7 (#104)
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| LMArena Non-English | 1438 | 1402 |
| LMArena Chinese | 1477 | 1465 |
| LMArena Russian | 1455 | 1391 |
| LMArena French | — | 1436 |
| LMArena German | — | 1405 |
| LMArena Japanese | — | 1405 |
| LMArena Korean | — | 1363 |
| LMArena Spanish | — | 1428 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Inkling-Small: 73.8 (#114)
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | 1468 | 1399 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Inkling-Small: 42.7 (#118)
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| LMArena Longer Query | 1465 | 1401 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Inkling-Small: 59.6 (#107)
| Benchmark | GPT-6.1 Sol | Inkling-Small |
|---|---|---|
| LMArena Text | 1447 | 1414 |
| LMArena Creative Writing | 1432 | 1331 |
| LMArena Multi-Turn | 1449 | 1418 |
| EQ-Bench Creative Writing | — | 1491 |
Frequently asked questions
Is GPT-6.1 Sol better than Inkling-Small?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 46.5 on the Noometry Index. Inkling-Small costs 6.3× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-6.1 Sol or Inkling-Small?
Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Inkling-Small better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 43.6 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 524K.
How many benchmarks do GPT-6.1 Sol and Inkling-Small share?
27 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Inkling-Small has 33.