Model comparison
GPT-5.1 vs Inkling-Small
GPT-5.1 is the stronger model overall, scoring 48.8 to 46.5 on the Noometry Index. Inkling-Small costs 5.4× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. GPT-5.1 scores higher in 9 categories and Inkling-Small in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-5.1 leads 84.0 to 73.9.
- The biggest single-benchmark swing is SimpleQA Verified: 48% for GPT-5.1 and 19.1% for Inkling-Small.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $1.25 / $10 for GPT-5.1.
- Inkling-Small accepts more context: 524K tokens versus 400K.
- Inkling-Small has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1 | Inkling-Small | |
|---|---|---|
| Provider | OpenAI | Thinking Machines Lab |
| Noometry Index | 48.8 | 46.5 |
| Released | 2025-11-13 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | 400K | 524K |
| Max output | 128K | 1.05M |
| Input $ / M tokens | $1.25 | $0.45 |
| Output $ / M tokens | $10 | $1.20 |
| Results tracked | 63 | 33 |
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Category by category
Coding GPT-5.1 leads
GPT-5.1: 46.9 (#59), Inkling-Small: 43.3 (#80)
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| LMArena WebDev | 1395 | 1408 |
| SciCode | 43.3% | 48.7% |
| LMArena Coding | 1454 | 1451 |
| SWE-bench Verified | 68% | — |
| SWE-bench Verified (bash only) | 66% | — |
| GSO | 13.7% | — |
| WeirdML | 60.8% | — |
| LiveBench Coding | 72.5% | — |
| ALE-Bench | 1,192 | — |
Agentic & Tool Use Not comparable
GPT-5.1: 32.5 (#55), Inkling-Small: —
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| Terminal-Bench | 47.6% | — |
| DeepResearch Bench | 42.8% | — |
| LMArena Search | 1199 | — |
| Vending-Bench 2 | 1,473 | — |
Reasoning Too close to call
GPT-5.1: 39.9 (#50), Inkling-Small: 39.0 (#53)
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| ARC-AGI-2 | 17.6% | 40.1% |
| ARC-AGI-1 | 72.8% | 84% |
| CritPt | 4.9% | 8.3% |
| Chess Puzzles | 32% | 18% |
| LMArena Hard Prompts | 1457 | 1424 |
| Mystery Game Puzzles | 19% | 6% |
| Epoch Capabilities Index | 149.66 | 150.13 |
| SimpleBench | 53.2% | — |
| EnigmaEval | 11.2% | — |
| LiveBench Reasoning | 95.8% | — |
| DTBench | 90.1% | — |
| LiveBench Data Analysis | 72.1% | — |
| LMCA | 43.9% | — |
| ForecastBench | 58.1 | — |
| LiveBench | 78.8% | — |
Math GPT-5.1 leads
GPT-5.1: 50.3 (#45), Inkling-Small: 44.9 (#65)
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.6% | 90% |
| LMArena Math | 1446 | 1453 |
| FrontierMath (Tiers 1-3) | — | 46.3% |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 6% |
| Omni-MATH | 46.4% | — |
| LiveBench Math | 94.5% | — |
| FrontierMath (Feb 2025 set) | 31% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GPT-5.1 leads
GPT-5.1: 50.5 (#65), Inkling-Small: 48.3 (#71)
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| GPQA Diamond | 87.6% | 88.5% |
| SimpleQA Verified | 48% | 19.1% |
| LMArena Expert | 1470 | 1442 |
| Humanity's Last Exam | 23.7% | — |
| MMLU-Pro | 57.9% | — |
| Vectara Hallucination Rate | 10.9% | — |
| GPQA (HELM) | 44.2% | — |
Multimodal GPT-5.1 leads
GPT-5.1: 44.0 (#17), Inkling-Small: 38.4 (#59)
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| LMArena Vision | 1250 | 1235 |
| VPCT | 58.7% | — |
| LMArena Document | 1403 | — |
Multilingual GPT-5.1 leads
GPT-5.1: 54.0 (#51), Inkling-Small: 51.7 (#102)
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| LMArena Non-English | 1431 | 1400 |
| LMArena Chinese | 1495 | 1458 |
| LMArena French | 1451 | 1438 |
| LMArena German | 1439 | 1412 |
| LMArena Japanese | 1453 | 1399 |
| LMArena Korean | 1401 | 1355 |
| LMArena Russian | 1435 | 1392 |
| LMArena Spanish | 1430 | 1426 |
Instruction Following GPT-5.1 leads
GPT-5.1: 84.0 (#1), Inkling-Small: 73.9 (#112)
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | 1442 | 1397 |
| LiveBench Instruction Following | 93.3% | — |
| IFEval | 93.5% | — |
Long Context GPT-5.1 leads
GPT-5.1: 47.6 (#14), Inkling-Small: 42.7 (#113)
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| LMArena Longer Query | 1448 | 1401 |
| CL-bench | 23.7% | — |
| CL-bench Life | 17.3% | — |
Writing & Preference GPT-5.1 leads
GPT-5.1: 64.7 (#53), Inkling-Small: 59.8 (#102)
| Benchmark | GPT-5.1 | Inkling-Small |
|---|---|---|
| LMArena Text | 1443 | 1413 |
| LMArena Creative Writing | 1427 | 1330 |
| LMArena Multi-Turn | 1449 | 1420 |
| EQ-Bench Creative Writing | — | 1491 |
| WildBench | 86.3% | — |
| LiveBench Language | 80.2% | — |
Frequently asked questions
Is GPT-5.1 better than Inkling-Small?
GPT-5.1 is the stronger model overall, scoring 48.8 to 46.5 on the Noometry Index. Inkling-Small costs 5.4× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Which is cheaper, GPT-5.1 or Inkling-Small?
Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; GPT-5.1 lists at $1.25 and $10.
Is GPT-5.1 or Inkling-Small better for coding?
GPT-5.1 scores higher on coding benchmarks: 46.9 versus 43.3 in the Noometry coding category.
Which has the bigger context window?
Inkling-Small does, with 524K tokens against 400K.
How many benchmarks do GPT-5.1 and Inkling-Small share?
29 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and Inkling-Small has 33.