Model comparison
Grok 4.20 (Non-Reasoning) vs Trinity Large Thinking
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 38.6 on the Noometry Index. Trinity Large Thinking costs 4.0× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Grok 4.20 (Non-Reasoning) scores higher in 8 categories and Trinity Large Thinking in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 16.9.
- The biggest single-benchmark swing is NYT Connections (extended): 85.4% for Grok 4.20 (Non-Reasoning) and 16.5% for Trinity Large Thinking.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 (Non-Reasoning).
- Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 262K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 (Non-Reasoning) | Trinity Large Thinking | |
|---|---|---|
| Provider | xAI | Arcee AI |
| Noometry Index | 48.6 | 38.6 |
| Released | 2026-02-17 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 30K | 80K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $2.50 | $0.80 |
| Results tracked | 46 | 24 |
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Category by category
Coding Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 42.1 (#112), Trinity Large Thinking: 34.1 (#244)
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1375 | 1238 |
| LMArena Coding | 1459 | 1381 |
| SciCode | — | 36.1% |
| WeirdML | 52.3% | — |
| ALE-Bench | 1,150 | — |
Agentic & Tool Use Not comparable
Grok 4.20 (Non-Reasoning): 34.4 (#46), Trinity Large Thinking: —
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| Terminal-Bench | 57.3% | — |
| τ²-bench Banking | 18% | — |
| LMArena Search | 1189 | — |
| Vending-Bench 2 | 4,663 | — |
Reasoning Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.3 (#32), Trinity Large Thinking: 16.9 (#298)
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| NYT Connections (extended) | 85.4% | 16.5% |
| Thematic Generalization | 63.8% | 41.6% |
| LMArena Hard Prompts | 1451 | 1350 |
| ARC-AGI-2 | 65.1% | — |
| Kagi LLM Benchmark | 75% | — |
| ARC-AGI-1 | 89.5% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | 24% | — |
| DTBench | 90.1% | — |
| LMCA | 38.7% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 151.98 | — |
| ForecastBench | 61.4 | — |
Math Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 48.2 (#65), Trinity Large Thinking: 37.6 (#149)
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1455 | 1366 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| ProofBench | 14% | — |
Knowledge Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.8 (#60), Trinity Large Thinking: 40.9 (#113)
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1439 | 1360 |
| GPQA Diamond | 89.3% | — |
| SimpleQA Verified | 30.2% | — |
| Vectara Hallucination Rate | — | 6.9% |
Multimodal Not comparable
Grok 4.20 (Non-Reasoning): 33.3 (#98), Trinity Large Thinking: —
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1416 | — |
Multilingual Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 54.5 (#40), Trinity Large Thinking: 46.2 (#160)
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1441 | 1325 |
| LMArena Chinese | 1481 | 1373 |
| LMArena French | 1476 | 1374 |
| LMArena German | 1465 | 1356 |
| LMArena Japanese | 1449 | 1311 |
| LMArena Korean | 1417 | 1306 |
| LMArena Russian | 1458 | 1337 |
| LMArena Spanish | 1443 | 1357 |
Instruction Following Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 74.8 (#83), Trinity Large Thinking: 70.5 (#162)
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1420 | 1334 |
Long Context Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 45.5 (#34), Trinity Large Thinking: 41.3 (#144)
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1437 | 1355 |
| CL-bench | 22.2% | — |
| CL-bench Life | 11.9% | — |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 65.7 (#44), Trinity Large Thinking: 53.8 (#158)
| Benchmark | Grok 4.20 (Non-Reasoning) | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1451 | 1340 |
| LMArena Creative Writing | 1438 | 1320 |
| LMArena Multi-Turn | 1456 | 1342 |
| EQ-Bench Creative Writing | 1574 | — |
Frequently asked questions
Is Grok 4.20 (Non-Reasoning) better than Trinity Large Thinking?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 38.6 on the Noometry Index. Trinity Large Thinking costs 4.0× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Which is cheaper, Grok 4.20 (Non-Reasoning) 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; Grok 4.20 (Non-Reasoning) lists at $1.25 and $2.50.
Is Grok 4.20 (Non-Reasoning) or Trinity Large Thinking better for coding?
Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 (Non-Reasoning) does, with 1M tokens against 262K.
How many benchmarks do Grok 4.20 (Non-Reasoning) and Trinity Large Thinking share?
20 benchmarks have published results for both models. Grok 4.20 (Non-Reasoning) has 46 scored results on Noometry and Trinity Large Thinking has 24.