Model comparison
Command A vs Trinity Large Thinking
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 36.5 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Command A scores higher in 1 category and Trinity Large Thinking in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where Trinity Large Thinking leads 34.1 to 27.2.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $2.50 / $10 for Command A.
- Trinity Large Thinking accepts more context: 262K tokens versus 256K.
Side by side
| Command A | Trinity Large Thinking | |
|---|---|---|
| Provider | Cohere | Arcee AI |
| Noometry Index | 36.5 | 38.6 |
| Released | 2025-03-13 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 256K | 262K |
| Max output | 8K | 80K |
| Input $ / M tokens | $2.50 | $0.25 |
| Output $ / M tokens | $10 | $0.80 |
| Results tracked | 24 | 24 |
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Category by category
Coding Trinity Large Thinking leads
Command A: 27.2 (#322), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Command A | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1330 | 1381 |
| Aider Polyglot | 12% | — |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), Trinity Large Thinking: —
| Benchmark | Command A | Trinity Large Thinking |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Command A leads
Command A: 18.3 (#283), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Command A | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1350 |
| Kagi LLM Benchmark | 28.8% | — |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| Surface Evolver Bench | — | 15.6% |
Math Trinity Large Thinking leads
Command A: 36.2 (#171), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Command A | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1300 | 1366 |
Knowledge Trinity Large Thinking leads
Command A: 37.1 (#159), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Command A | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 6.9% |
| LMArena Expert | 1295 | 1360 |
Multilingual Too close to call
Command A: 45.3 (#170), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Command A | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1313 | 1325 |
| LMArena Chinese | 1327 | 1373 |
| LMArena French | 1351 | 1374 |
| LMArena German | 1341 | 1356 |
| LMArena Japanese | 1285 | 1311 |
| LMArena Korean | 1285 | 1306 |
| LMArena Russian | 1314 | 1337 |
| LMArena Spanish | 1347 | 1357 |
Instruction Following Trinity Large Thinking leads
Command A: 69.1 (#177), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Command A | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1309 | 1334 |
Long Context Too close to call
Command A: 40.6 (#151), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Command A | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1334 | 1355 |
Writing & Preference Trinity Large Thinking leads
Command A: 47.6 (#208), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Command A | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1331 | 1340 |
| LMArena Creative Writing | 1319 | 1320 |
| LMArena Multi-Turn | 1339 | 1342 |
| EQ-Bench Creative Writing | 1145 | — |
Frequently asked questions
Is Command A better than Trinity Large Thinking?
Trinity Large Thinking is the stronger model overall, scoring 38.6 to 36.5 on the Noometry Index.
Which is cheaper, Command A 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; Command A lists at $2.50 and $10.
Is Command A or Trinity Large Thinking better for coding?
Trinity Large Thinking scores higher on coding benchmarks: 34.1 versus 27.2 in the Noometry coding category.
Which has the bigger context window?
Trinity Large Thinking does, with 262K tokens against 256K.
How many benchmarks do Command A and Trinity Large Thinking share?
18 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Trinity Large Thinking has 24.