Model comparison
Mistral Large 4 vs Trinity Large Thinking
Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index. Trinity Large Thinking costs 2.7× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Mistral AI
Arcee AISummary
- They share 14 benchmarks with published results for both. Mistral Large 4 scores higher in 7 categories and Trinity Large Thinking in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 34.1.
- The biggest single-benchmark swing is NYT Connections (extended): 27.4% for Mistral Large 4 and 16.5% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 4 | Trinity Large Thinking | |
|---|---|---|
| Provider | Mistral AI | Arcee AI |
| Noometry Index | 43.1 | 38.6 |
| Released | 2026-10-06 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 262K | 80K |
| Input $ / M tokens | $0.68 | $0.25 |
| Output $ / M tokens | $2.09 | $0.80 |
| Results tracked | 15 | 24 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1541 | 1238 |
| LMArena Coding | 1475 | 1381 |
| SciCode | — | 36.1% |
Reasoning Mistral Large 4 leads
Mistral Large 4: 22.5 (#192), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 27.4% | 16.5% |
| LMArena Hard Prompts | 1444 | 1350 |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math Mistral Large 4 leads
Mistral Large 4: 40.4 (#91), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1488 | 1366 |
Knowledge Trinity Large Thinking leads
Mistral Large 4: 36.6 (#166), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1447 | 1360 |
| SimpleQA Verified | 20% | — |
| Vectara Hallucination Rate | — | 6.9% |
Multilingual Mistral Large 4 leads
Mistral Large 4: 52.6 (#82), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1415 | 1325 |
| LMArena Chinese | 1491 | 1373 |
| LMArena Russian | 1414 | 1337 |
| LMArena French | — | 1374 |
| LMArena German | — | 1356 |
| LMArena Japanese | — | 1311 |
| LMArena Korean | — | 1306 |
| LMArena Spanish | — | 1357 |
Instruction Following Mistral Large 4 leads
Mistral Large 4: 75.0 (#76), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1424 | 1334 |
Long Context Mistral Large 4 leads
Mistral Large 4: 43.6 (#89), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1429 | 1355 |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Mistral Large 4 | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1427 | 1340 |
| LMArena Creative Writing | 1361 | 1320 |
| LMArena Multi-Turn | 1424 | 1342 |
Frequently asked questions
Is Mistral Large 4 better than Trinity Large Thinking?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.6 on the Noometry Index. Trinity Large Thinking costs 2.7× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 4 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; Mistral Large 4 lists at $0.68 and $2.09.
Is Mistral Large 4 or Trinity Large Thinking better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 262K.
How many benchmarks do Mistral Large 4 and Trinity Large Thinking share?
14 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Trinity Large Thinking has 24.