Model comparison
Gemini 2.5 Pro vs Inkling-Small
Inkling-Small is the stronger model overall, scoring 46.5 to 45.0 on the Noometry Index.
Last verified . 30 shared benchmarks.
Summary
- They share 30 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 6 categories and Inkling-Small in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 42.7.
- The biggest single-benchmark swing is ARC-AGI-1: 41% for Gemini 2.5 Pro and 84% for Inkling-Small.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 524K.
- Inkling-Small has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Inkling-Small | |
|---|---|---|
| Provider | Thinking Machines Lab | |
| Noometry Index | 45.0 | 46.5 |
| Released | 2025-03-25 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 524K |
| Max output | 66K | 1.05M |
| Input $ / M tokens | $1.25 | $0.45 |
| Output $ / M tokens | $10 | $1.20 |
| Results tracked | 78 | 33 |
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Category by category
Coding Inkling-Small leads
Gemini 2.5 Pro: 42.4 (#101), Inkling-Small: 43.6 (#85)
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| LMArena WebDev | 1227 | 1409 |
| SciCode | 42.8% | 48.7% |
| LMArena Coding | 1452 | 1451 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), Inkling-Small: —
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Inkling-Small leads
Gemini 2.5 Pro: 28.8 (#99), Inkling-Small: 38.6 (#63)
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| ARC-AGI-2 | 4.9% | 40.1% |
| ARC-AGI-1 | 41% | 84% |
| CritPt | 2% | 8.3% |
| Chess Puzzles | 20% | 18% |
| LMArena Hard Prompts | 1455 | 1423 |
| Epoch Capabilities Index | 145.32 | 150.15 |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| Mystery Game Puzzles | — | 6% |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Inkling-Small leads
Gemini 2.5 Pro: 32.5 (#213), Inkling-Small: 45.1 (#77)
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | 46.3% |
| FrontierMath Tier 4 | 0% | 17.1% |
| OTIS Mock AIME 2024-2025 | 84.7% | 90% |
| LMArena Math | 1450 | 1459 |
| ProofBench | — | 6% |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Inkling-Small: 48.2 (#77)
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| GPQA Diamond | 85.3% | 88.5% |
| LMArena Expert | 1452 | 1442 |
| Humanity's Last Exam | 21.6% | — |
| SimpleQA Verified | — | 19.1% |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Gemini 2.5 Pro leads
Gemini 2.5 Pro: 45.2 (#18), Inkling-Small: 39.1 (#62)
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| LMArena Vision | 1263 | 1235 |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Inkling-Small: 51.7 (#104)
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| LMArena Non-English | 1451 | 1402 |
| LMArena Chinese | 1507 | 1465 |
| LMArena French | 1472 | 1436 |
| LMArena German | 1487 | 1405 |
| LMArena Japanese | 1461 | 1405 |
| LMArena Korean | 1434 | 1363 |
| LMArena Russian | 1461 | 1391 |
| LMArena Spanish | 1473 | 1428 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), Inkling-Small: 73.8 (#114)
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | 1437 | 1399 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Inkling-Small: 42.7 (#118)
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| LMArena Longer Query | 1449 | 1401 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Inkling-Small: 59.6 (#107)
| Benchmark | Gemini 2.5 Pro | Inkling-Small |
|---|---|---|
| LMArena Text | 1458 | 1414 |
| LMArena Creative Writing | 1454 | 1331 |
| EQ-Bench Creative Writing | 1421 | 1491 |
| LMArena Multi-Turn | 1453 | 1418 |
| Short-Story Creative Writing | 83.8% | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Inkling-Small?
Inkling-Small is the stronger model overall, scoring 46.5 to 45.0 on the Noometry Index.
Which is cheaper, Gemini 2.5 Pro or Inkling-Small?
Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Inkling-Small better for coding?
Inkling-Small scores higher on coding benchmarks: 43.6 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 524K.
How many benchmarks do Gemini 2.5 Pro and Inkling-Small share?
30 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Inkling-Small has 33.