Model comparison
Inkling-Small vs Mistral Small 3.2
Inkling-Small is the stronger model overall, scoring 46.5 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 4.8× less per token, which makes it the better buy when Inkling-Small's lead doesn't matter for your workload.
Last verified . 5 shared benchmarks.
Mistral AISummary
- They share 5 benchmarks with published results for both. Inkling-Small scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling-Small leads 48.3 to 26.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 90% for Inkling-Small and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.45 / $1.20 for Inkling-Small.
- Inkling-Small accepts more context: 524K tokens versus 256K.
Side by side
| Inkling-Small | Mistral Small 3.2 | |
|---|---|---|
| Provider | Thinking Machines Lab | Mistral AI |
| Noometry Index | 46.5 | 30.8 |
| Released | 2026-07-15 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 524K | 256K |
| Max output | 1.05M | 16K |
| Input $ / M tokens | $0.45 | $0.0938 |
| Output $ / M tokens | $1.20 | $0.25 |
| Results tracked | 33 | 6 |
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Category by category
Coding Not comparable
Inkling-Small: 43.3 (#80), Mistral Small 3.2: —
| Benchmark | Inkling-Small | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1408 | — |
| SciCode | 48.7% | — |
| LMArena Coding | 1451 | — |
Reasoning Inkling-Small leads
Inkling-Small: 39.0 (#53), Mistral Small 3.2: 17.5 (#282)
| Benchmark | Inkling-Small | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 18% | 1% |
| Epoch Capabilities Index | 150.13 | 131.73 |
| ARC-AGI-2 | 40.1% | — |
| Kagi LLM Benchmark | — | 40.4% |
| ARC-AGI-1 | 84% | — |
| CritPt | 8.3% | — |
| LMArena Hard Prompts | 1424 | — |
| Mystery Game Puzzles | 6% | — |
Math Inkling-Small leads
Inkling-Small: 44.9 (#65), Mistral Small 3.2: 24.9 (#251)
| Benchmark | Inkling-Small | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 90% | 30.3% |
| FrontierMath (Tiers 1-3) | 46.3% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 6% | — |
| LMArena Math | 1453 | — |
Knowledge Inkling-Small leads
Inkling-Small: 48.3 (#71), Mistral Small 3.2: 26.8 (#249)
| Benchmark | Inkling-Small | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 88.5% | 49.1% |
| SimpleQA Verified | 19.1% | — |
| LMArena Expert | 1442 | — |
Multimodal Not comparable
Inkling-Small: 38.4 (#59), Mistral Small 3.2: —
| Benchmark | Inkling-Small | Mistral Small 3.2 |
|---|---|---|
| LMArena Vision | 1235 | — |
Multilingual Not comparable
Inkling-Small: 51.7 (#102), Mistral Small 3.2: —
| Benchmark | Inkling-Small | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1400 | — |
| LMArena Chinese | 1458 | — |
| LMArena French | 1438 | — |
| LMArena German | 1412 | — |
| LMArena Japanese | 1399 | — |
| LMArena Korean | 1355 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1426 | — |
Instruction Following Not comparable
Inkling-Small: 73.9 (#112), Mistral Small 3.2: —
| Benchmark | Inkling-Small | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1397 | — |
Long Context Not comparable
Inkling-Small: 42.7 (#113), Mistral Small 3.2: —
| Benchmark | Inkling-Small | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1401 | — |
Writing & Preference Inkling-Small leads
Inkling-Small: 59.8 (#102), Mistral Small 3.2: 45.1 (#219)
| Benchmark | Inkling-Small | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1491 | 1255 |
| LMArena Text | 1413 | — |
| LMArena Creative Writing | 1330 | — |
| LMArena Multi-Turn | 1420 | — |
Frequently asked questions
Is Inkling-Small better than Mistral Small 3.2?
Inkling-Small is the stronger model overall, scoring 46.5 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 4.8× less per token, which makes it the better buy when Inkling-Small's lead doesn't matter for your workload.
Which is cheaper, Inkling-Small or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Inkling-Small lists at $0.45 and $1.20.
Which has the bigger context window?
Inkling-Small does, with 524K tokens against 256K.
How many benchmarks do Inkling-Small and Mistral Small 3.2 share?
5 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Mistral Small 3.2 has 6.