Model comparison
Gemini 3.8 Flash vs Inkling
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 44.1 on the Noometry Index.
Last verified . 38 shared benchmarks.
Summary
- They share 38 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and Inkling in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 40.4.
- The biggest single-benchmark swing is ARC-AGI-2: 89.2% for Gemini 3.8 Flash and 36.5% for Inkling.
- Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.8 Flash | Inkling | |
|---|---|---|
| Provider | Thinking Machines Lab | |
| Noometry Index | 61.8 | 44.1 |
| Released | 2026-09-02 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 66K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.75 | $1.87 |
| Output $ / M tokens | $3.75 | $4.68 |
| Results tracked | 50 | 41 |
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Category by category
Coding Gemini 3.8 Flash leads
Gemini 3.8 Flash: 59.2 (#15), Inkling: 34.5 (#234)
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| FrontierCode | 41.2% | 14% |
| LMArena WebDev | 1584 | 1413 |
| FrontierSWE | 19.6% | 4.1% |
| SciCode | 56.6% | 47% |
| WeirdML | 84.8% | 32.3% |
| LMArena Coding | 1510 | 1464 |
| ALE-Bench | 1,270 | 946 |
| DeepSWE | 73.8% | — |
| CursorBench | 39.6% | — |
Agentic & Tool Use Gemini 3.8 Flash leads
Gemini 3.8 Flash: 41.8 (#21), Inkling: 29.6 (#85)
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| APEX-Agents | 64.3% | 33.8% |
| Remote Labor Index | 5.8% | — |
| τ²-bench Banking | — | 25% |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), Inkling: 40.4 (#56)
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| ARC-AGI-2 | 89.2% | 36.5% |
| ARC-AGI-1 | 98.5% | 79.5% |
| CritPt | 18.3% | 5.4% |
| Chess Puzzles | 61% | 21% |
| LMArena Hard Prompts | 1508 | 1451 |
| DTBench | 95.7% | 87.5% |
| LMCA | 52.9% | 37.6% |
| Epoch Capabilities Index | 156.71 | 148.54 |
| SimpleBench | — | 50% |
| NYT Connections (extended) | 97.4% | — |
| Mystery Game Puzzles | 47% | — |
| Surface Evolver Bench | 76.9% | — |
Math Gemini 3.8 Flash leads
Gemini 3.8 Flash: 65.3 (#28), Inkling: 31.3 (#225)
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.4% | 33.3% |
| FrontierMath Tier 4 | 22% | 4.9% |
| OTIS Mock AIME 2024-2025 | 98.9% | 88.9% |
| ProofBench | 48% | 0% |
| LMArena Math | 1528 | 1479 |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), Inkling: 55.1 (#49)
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| GPQA Diamond | 95.4% | 88.3% |
| SimpleQA Verified | 69.7% | 40.3% |
| LMArena Expert | 1524 | 1465 |
| Humanity's Last Exam | 44.5% | — |
Multimodal Not comparable
Gemini 3.8 Flash: 40.7 (#45), Inkling: —
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| LMArena Vision | 1314 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Gemini 3.8 Flash leads
Gemini 3.8 Flash: 58.0 (#5), Inkling: 54.0 (#52)
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| LMArena Non-English | 1491 | 1434 |
| LMArena Chinese | 1554 | 1490 |
| LMArena French | 1498 | 1458 |
| LMArena German | 1493 | 1446 |
| LMArena Japanese | 1502 | 1429 |
| LMArena Korean | 1459 | 1404 |
| LMArena Russian | 1515 | 1429 |
| LMArena Spanish | 1485 | 1448 |
Instruction Following Gemini 3.8 Flash leads
Gemini 3.8 Flash: 78.0 (#13), Inkling: 75.1 (#71)
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| LMArena Instruction Following | 1490 | 1426 |
Long Context Gemini 3.8 Flash leads
Gemini 3.8 Flash: 46.3 (#24), Inkling: 43.8 (#86)
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| LMArena Longer Query | 1508 | 1434 |
Writing & Preference Gemini 3.8 Flash leads
Gemini 3.8 Flash: 72.2 (#15), Inkling: 65.2 (#51)
| Benchmark | Gemini 3.8 Flash | Inkling |
|---|---|---|
| LMArena Text | 1499 | 1441 |
| LMArena Creative Writing | 1492 | 1387 |
| EQ-Bench Creative Writing | 1748 | 1611 |
| LMArena Multi-Turn | 1501 | 1436 |
| EQ-Bench 4 | — | 1226 |
Frequently asked questions
Is Gemini 3.8 Flash better than Inkling?
Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 44.1 on the Noometry Index.
Which is cheaper, Gemini 3.8 Flash or Inkling?
Gemini 3.8 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; Inkling lists at $1.87 and $4.68.
Is Gemini 3.8 Flash or Inkling better for coding?
Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 34.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.8 Flash does, with 1.05M tokens against 66K.
How many benchmarks do Gemini 3.8 Flash and Inkling share?
38 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Inkling has 41.