Model comparison
Inkling vs Pixtral Large
Inkling is the stronger model overall, scoring 44.1 to 32.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Inkling scores higher in 2 categories and Pixtral Large in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Inkling leads 65.2 to 32.9.
- Inkling is cheaper at $1.87 / $4.68 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Pixtral Large accepts more context: 128K tokens versus 66K.
Side by side
| Inkling | Pixtral Large | |
|---|---|---|
| Provider | Thinking Machines Lab | Mistral AI |
| Noometry Index | 44.1 | 32.2 |
| Released | 2026-07-15 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 66K | 128K |
| Max output | 66K | 128K |
| Input $ / M tokens | $1.87 | $2 |
| Output $ / M tokens | $4.68 | $6 |
| Results tracked | 41 | 3 |
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Category by category
Coding Not comparable
Inkling: 34.5 (#234), Pixtral Large: —
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
Reasoning Inkling leads
Inkling: 40.4 (#56), Pixtral Large: 21.7 (#218)
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | 21% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1451 | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
| Epoch Capabilities Index | 148.54 | — |
Math Not comparable
Inkling: 31.3 (#225), Pixtral Large: —
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 0% | — |
| LMArena Math | 1479 | — |
Knowledge Not comparable
Inkling: 55.1 (#49), Pixtral Large: —
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| GPQA Diamond | 88.3% | — |
| SimpleQA Verified | 40.3% | — |
| LMArena Expert | 1465 | — |
Multimodal Not comparable
Inkling: —, Pixtral Large: 30.6 (#111)
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
Inkling: 54.0 (#52), Pixtral Large: —
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1426 | — |
Long Context Not comparable
Inkling: 43.8 (#86), Pixtral Large: —
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference Inkling leads
Inkling: 65.2 (#51), Pixtral Large: 32.9 (#278)
| Benchmark | Inkling | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1611 | 988 |
| LMArena Text | 1441 | — |
| LMArena Creative Writing | 1387 | — |
| EQ-Bench 4 | 1226 | — |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Inkling better than Pixtral Large?
Inkling is the stronger model overall, scoring 44.1 to 32.2 on the Noometry Index.
Which is cheaper, Inkling or Pixtral Large?
Inkling is cheaper. It lists at $1.87 per million input tokens and $4.68 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Pixtral Large does, with 128K tokens against 66K.
How many benchmarks do Inkling and Pixtral Large share?
1 benchmark has published results for both models. Inkling has 41 scored results on Noometry and Pixtral Large has 3.