Model comparison
Inkling-Small vs Mistral 7B
Inkling-Small is the stronger model overall, scoring 46.5 to 23.0 on the Noometry Index. Mistral 7B costs 2.5× less per token, which makes it the better buy when Inkling-Small's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Mistral AISummary
- They share 20 benchmarks with published results for both. Inkling-Small scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling-Small leads 48.2 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 90% for Inkling-Small and 0.3% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.45 / $1.20 for Inkling-Small.
- Inkling-Small accepts more context: 524K tokens versus 8K.
Side by side
| Inkling-Small | Mistral 7B | |
|---|---|---|
| Provider | Thinking Machines Lab | Mistral AI |
| Noometry Index | 46.5 | 23.0 |
| Released | 2026-07-15 | 2023-09-27 |
| Weights | Open | Open |
| Context window | 524K | 8K |
| Max output | 1.05M | 8K |
| Input $ / M tokens | $0.45 | $0.25 |
| Output $ / M tokens | $1.20 | $0.25 |
| Results tracked | 33 | 37 |
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Category by category
Coding Inkling-Small leads
Inkling-Small: 43.6 (#85), Mistral 7B: 26.4 (#326)
| Benchmark | Inkling-Small | Mistral 7B |
|---|---|---|
| LMArena Coding | 1451 | 1082 |
| LMArena WebDev | 1409 | — |
| SciCode | 48.7% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Reasoning Inkling-Small leads
Inkling-Small: 38.6 (#63), Mistral 7B: 13.1 (#336)
| Benchmark | Inkling-Small | Mistral 7B |
|---|---|---|
| Chess Puzzles | 18% | 0% |
| LMArena Hard Prompts | 1423 | 1067 |
| Epoch Capabilities Index | 150.15 | 112.21 |
| ARC-AGI-2 | 40.1% | — |
| ARC-AGI-1 | 84% | — |
| CritPt | 8.3% | — |
| Mystery Game Puzzles | 6% | — |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Inkling-Small leads
Inkling-Small: 45.1 (#77), Mistral 7B: 8.1 (#325)
| Benchmark | Inkling-Small | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 90% | 0.3% |
| LMArena Math | 1459 | 1085 |
| FrontierMath (Tiers 1-3) | 46.3% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 6% | — |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |
Knowledge Inkling-Small leads
Inkling-Small: 48.2 (#77), Mistral 7B: 7.4 (#311)
| Benchmark | Inkling-Small | Mistral 7B |
|---|---|---|
| GPQA Diamond | 88.5% | 15.2% |
| LMArena Expert | 1442 | 1036 |
| SimpleQA Verified | 19.1% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
Inkling-Small: 39.1 (#62), Mistral 7B: —
| Benchmark | Inkling-Small | Mistral 7B |
|---|---|---|
| LMArena Vision | 1235 | — |
Multilingual Inkling-Small leads
Inkling-Small: 51.7 (#104), Mistral 7B: 25.8 (#283)
| Benchmark | Inkling-Small | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1402 | 1012 |
| LMArena Chinese | 1465 | 1009 |
| LMArena French | 1436 | 1037 |
| LMArena German | 1405 | 987 |
| LMArena Japanese | 1405 | 878 |
| LMArena Russian | 1391 | 1018 |
| LMArena Spanish | 1428 | 1026 |
| LMArena Korean | 1363 | — |
Instruction Following Inkling-Small leads
Inkling-Small: 73.8 (#114), Mistral 7B: 54.2 (#280)
| Benchmark | Inkling-Small | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1399 | 1060 |
Long Context Inkling-Small leads
Inkling-Small: 42.7 (#118), Mistral 7B: 32.2 (#271)
| Benchmark | Inkling-Small | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1401 | 1060 |
Writing & Preference Inkling-Small leads
Inkling-Small: 59.6 (#107), Mistral 7B: 30.7 (#286)
| Benchmark | Inkling-Small | Mistral 7B |
|---|---|---|
| LMArena Text | 1414 | 1090 |
| LMArena Creative Writing | 1331 | 1068 |
| LMArena Multi-Turn | 1418 | 1062 |
| EQ-Bench Creative Writing | 1491 | — |
Frequently asked questions
Is Inkling-Small better than Mistral 7B?
Inkling-Small is the stronger model overall, scoring 46.5 to 23.0 on the Noometry Index. Mistral 7B costs 2.5× 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 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Inkling-Small lists at $0.45 and $1.20.
Is Inkling-Small or Mistral 7B better for coding?
Inkling-Small scores higher on coding benchmarks: 43.6 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Inkling-Small does, with 524K tokens against 8K.
How many benchmarks do Inkling-Small and Mistral 7B share?
20 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Mistral 7B has 37.