Model comparison
Pixtral Large vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Arcee AISummary
- The widest gap is in writing & preference, where Trinity Large Thinking leads 53.8 to 32.9.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Trinity Large Thinking accepts more context: 262K tokens versus 128K.
Side by side
| Pixtral Large | Trinity Large Thinking | |
|---|---|---|
| Provider | Mistral AI | Arcee AI |
| Noometry Index | 32.2 | 38.6 |
| Released | 2024-11-01 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 80K |
| Input $ / M tokens | $2 | $0.25 |
| Output $ / M tokens | $6 | $0.80 |
| Results tracked | 3 | 24 |
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Category by category
Coding Not comparable
Pixtral Large: —, Trinity Large Thinking: 34.1 (#244)
| Benchmark | Pixtral Large | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| LMArena Coding | — | 1381 |
Reasoning Pixtral Large leads
Pixtral Large: 21.7 (#218), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Pixtral Large | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| EnigmaEval | 0.8% | — |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| Surface Evolver Bench | — | 15.6% |
Math Not comparable
Pixtral Large: —, Trinity Large Thinking: 37.6 (#149)
| Benchmark | Pixtral Large | Trinity Large Thinking |
|---|---|---|
| LMArena Math | — | 1366 |
Knowledge Not comparable
Pixtral Large: —, Trinity Large Thinking: 40.9 (#113)
| Benchmark | Pixtral Large | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |
Multimodal Not comparable
Pixtral Large: 30.6 (#111), Trinity Large Thinking: —
| Benchmark | Pixtral Large | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1089 | — |
Multilingual Not comparable
Pixtral Large: —, Trinity Large Thinking: 46.2 (#160)
| Benchmark | Pixtral Large | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | — | 1325 |
| LMArena Chinese | — | 1373 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Russian | — | 1337 |
| LMArena Spanish | — | 1357 |
Instruction Following Not comparable
Pixtral Large: —, Trinity Large Thinking: 70.5 (#162)
| Benchmark | Pixtral Large | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |
Long Context Not comparable
Pixtral Large: —, Trinity Large Thinking: 41.3 (#144)
| Benchmark | Pixtral Large | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |
Writing & Preference Trinity Large Thinking leads
Pixtral Large: 32.9 (#278), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Pixtral Large | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is Pixtral Large better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 32.2 on the Noometry Index.
Which is cheaper, Pixtral Large or Trinity Large Thinking?
Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Trinity Large Thinking does, with 262K tokens against 128K.
How many benchmarks do Pixtral Large and Trinity Large Thinking share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Trinity Large Thinking has 24.