Model comparison
Inkling-Small vs Mistral Small
Inkling-Small is the stronger model overall, scoring 46.5 to 33.4 on the Noometry Index. Mistral Small costs 2.4× less per token, which makes it the better buy when Inkling-Small's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
Mistral AISummary
- They share 22 benchmarks with published results for both. Inkling-Small scores higher in 9 categories and Mistral Small in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Inkling-Small leads 45.1 to 16.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 90% for Inkling-Small and 5.8% for Mistral Small.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.45 / $1.20 for Inkling-Small.
- Inkling-Small accepts more context: 524K tokens versus 262K.
Side by side
| Inkling-Small | Mistral Small | |
|---|---|---|
| Provider | Thinking Machines Lab | Mistral AI |
| Noometry Index | 46.5 | 33.4 |
| Released | 2026-07-15 | 2024-02-26 |
| Weights | Open | Open |
| Context window | 524K | 262K |
| Max output | 1.05M | 256K |
| Input $ / M tokens | $0.45 | $0.15 |
| Output $ / M tokens | $1.20 | $0.60 |
| Results tracked | 33 | 39 |
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Category by category
Coding Inkling-Small leads
Inkling-Small: 43.6 (#85), Mistral Small: 34.0 (#247)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| SciCode | 48.7% | 26.5% |
| LMArena Coding | 1451 | 1362 |
| LMArena WebDev | 1409 | — |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Not comparable
Inkling-Small: —, Mistral Small: 28.1 (#93)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning Inkling-Small leads
Inkling-Small: 38.6 (#63), Mistral Small: 19.8 (#250)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| CritPt | 8.3% | 0% |
| LMArena Hard Prompts | 1423 | 1335 |
| ARC-AGI-2 | 40.1% | — |
| Kagi LLM Benchmark | — | 37.8% |
| ARC-AGI-1 | 84% | — |
| Chess Puzzles | 18% | — |
| LiveBench Reasoning | — | 44.8% |
| Mystery Game Puzzles | 6% | — |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| Epoch Capabilities Index | 150.15 | — |
| LiveBench | — | 44% |
Math Inkling-Small leads
Inkling-Small: 45.1 (#77), Mistral Small: 16.4 (#293)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 90% | 5.8% |
| LMArena Math | 1459 | 1341 |
| FrontierMath (Tiers 1-3) | 46.3% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 6% | — |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |
Knowledge Inkling-Small leads
Inkling-Small: 48.2 (#77), Mistral Small: 31.0 (#222)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| GPQA Diamond | 88.5% | 47.5% |
| LMArena Expert | 1442 | 1291 |
| SimpleQA Verified | 19.1% | — |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |
Multimodal Inkling-Small leads
Inkling-Small: 39.1 (#62), Mistral Small: 33.5 (#96)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| LMArena Vision | 1235 | 1142 |
Multilingual Inkling-Small leads
Inkling-Small: 51.7 (#104), Mistral Small: 45.5 (#169)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| LMArena Non-English | 1402 | 1315 |
| LMArena Chinese | 1465 | 1340 |
| LMArena French | 1436 | 1337 |
| LMArena German | 1405 | 1340 |
| LMArena Japanese | 1405 | 1275 |
| LMArena Korean | 1363 | 1259 |
| LMArena Russian | 1391 | 1324 |
| LMArena Spanish | 1428 | 1346 |
Instruction Following Inkling-Small leads
Inkling-Small: 73.8 (#114), Mistral Small: 66.4 (#209)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1399 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
Long Context Inkling-Small leads
Inkling-Small: 42.7 (#118), Mistral Small: 40.4 (#156)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1401 | 1327 |
Writing & Preference Inkling-Small leads
Inkling-Small: 59.6 (#107), Mistral Small: 52.5 (#171)
| Benchmark | Inkling-Small | Mistral Small |
|---|---|---|
| LMArena Text | 1414 | 1338 |
| LMArena Creative Writing | 1331 | 1305 |
| LMArena Multi-Turn | 1418 | 1344 |
| EQ-Bench Creative Writing | 1491 | — |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Inkling-Small better than Mistral Small?
Inkling-Small is the stronger model overall, scoring 46.5 to 33.4 on the Noometry Index. Mistral Small costs 2.4× 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?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Inkling-Small lists at $0.45 and $1.20.
Is Inkling-Small or Mistral Small better for coding?
Inkling-Small scores higher on coding benchmarks: 43.6 versus 34.0 in the Noometry coding category.
Which has the bigger context window?
Inkling-Small does, with 524K tokens against 262K.
How many benchmarks do Inkling-Small and Mistral Small share?
22 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Mistral Small has 39.