Model comparison
Inkling vs Mistral Small 3.2
Inkling is the stronger model overall, scoring 44.1 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 19× less per token, which makes it the better buy when Inkling'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 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 leads 55.1 to 26.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for Inkling 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 $1.87 / $4.68 for Inkling.
- Mistral Small 3.2 accepts more context: 256K tokens versus 66K.
Side by side
| Inkling | Mistral Small 3.2 | |
|---|---|---|
| Provider | Thinking Machines Lab | Mistral AI |
| Noometry Index | 44.1 | 31.2 |
| Released | 2026-07-15 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 66K | 256K |
| Max output | 66K | 16K |
| Input $ / M tokens | $1.87 | $0.0938 |
| Output $ / M tokens | $4.68 | $0.25 |
| Results tracked | 41 | 6 |
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Category by category
Coding Not comparable
Inkling: 34.5 (#234), Mistral Small 3.2: —
| Benchmark | Inkling | Mistral Small 3.2 |
|---|---|---|
| FrontierCode | 14% | — |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| LMArena Coding | 1464 | — |
| ALE-Bench | 946 | — |
Agentic & Tool Use Not comparable
Inkling: 29.6 (#85), Mistral Small 3.2: —
| Benchmark | Inkling | Mistral Small 3.2 |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
Reasoning Inkling leads
Inkling: 40.4 (#56), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Inkling | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 21% | 1% |
| Epoch Capabilities Index | 148.54 | 131.74 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| Kagi LLM Benchmark | — | 40.4% |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| LMArena Hard Prompts | 1451 | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
Math Inkling leads
Inkling: 31.3 (#225), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Inkling | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 30.3% |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 0% | — |
| LMArena Math | 1479 | — |
Knowledge Inkling leads
Inkling: 55.1 (#49), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Inkling | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 88.3% | 49.1% |
| SimpleQA Verified | 40.3% | — |
| LMArena Expert | 1465 | — |
Multilingual Not comparable
Inkling: 54.0 (#52), Mistral Small 3.2: —
| Benchmark | Inkling | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1434 | — |
| LMArena Chinese | 1490 | — |
| LMArena French | 1458 | — |
| LMArena German | 1446 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1404 | — |
| LMArena Russian | 1429 | — |
| LMArena Spanish | 1448 | — |
Instruction Following Not comparable
Inkling: 75.1 (#71), Mistral Small 3.2: —
| Benchmark | Inkling | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1426 | — |
Long Context Not comparable
Inkling: 43.8 (#86), Mistral Small 3.2: —
| Benchmark | Inkling | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference Inkling leads
Inkling: 65.2 (#51), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Inkling | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1611 | 1255 |
| LMArena Text | 1441 | — |
| LMArena Creative Writing | 1387 | — |
| EQ-Bench 4 | 1226 | — |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Inkling better than Mistral Small 3.2?
Inkling is the stronger model overall, scoring 44.1 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 19× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.
Which is cheaper, Inkling 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 lists at $1.87 and $4.68.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 66K.
How many benchmarks do Inkling and Mistral Small 3.2 share?
5 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Mistral Small 3.2 has 6.