Model comparison
Mistral Nemo vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 26.4 on the Noometry Index. Mistral Nemo costs 2.6× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AI
Arcee AISummary
- The widest gap is in knowledge, where Trinity Large Thinking leads 40.9 to 12.3.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Trinity Large Thinking accepts more context: 262K tokens versus 128K.
Side by side
| Mistral Nemo | Trinity Large Thinking | |
|---|---|---|
| Provider | Mistral AI | Arcee AI |
| Noometry Index | 26.4 | 38.6 |
| Released | 2024-07-01 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 80K |
| Input $ / M tokens | $0.15 | $0.25 |
| Output $ / M tokens | $0.15 | $0.80 |
| Results tracked | 10 | 24 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mistral Nemo: —, Trinity Large Thinking: 34.1 (#244)
| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
| LMArena Coding | — | 1381 |
Agentic & Tool Use Not comparable
Mistral Nemo: 23.5 (#125), Trinity Large Thinking: —
| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning Mistral Nemo leads
Mistral Nemo: 20.7 (#232), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| LMArena Hard Prompts | — | 1350 |
| DTBench | 48.6% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 118.68 | — |
| PIQA | 83.5% | — |
Math Trinity Large Thinking leads
Mistral Nemo: 25.5 (#268), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| LMArena Math | — | 1366 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Trinity Large Thinking leads
Mistral Nemo: 12.3 (#298), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| GPQA Diamond | 29.9% | — |
| Vectara Hallucination Rate | — | 6.9% |
| LMArena Expert | — | 1360 |
| BoolQ | 82.5% | — |
Multilingual Not comparable
Mistral Nemo: —, Trinity Large Thinking: 46.2 (#160)
| Benchmark | Mistral Nemo | 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
Mistral Nemo: —, Trinity Large Thinking: 70.5 (#162)
| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | — | 1334 |
Long Context Not comparable
Mistral Nemo: —, Trinity Large Thinking: 41.3 (#144)
| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | — | 1355 |
Writing & Preference Trinity Large Thinking leads
Mistral Nemo: 28.5 (#296), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Mistral Nemo | Trinity Large Thinking |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1320 |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1342 |
Frequently asked questions
Is Mistral Nemo better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 26.4 on the Noometry Index. Mistral Nemo costs 2.6× less per token, which makes it the better buy when Trinity Large Thinking's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or Trinity Large Thinking?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.
Which has the bigger context window?
Trinity Large Thinking does, with 262K tokens against 128K.
How many benchmarks do Mistral Nemo and Trinity Large Thinking share?
0 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Trinity Large Thinking has 24.