Model comparison
Command A vs Grok 4.20 (Non-Reasoning)
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 36.5 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Command A scores higher in 1 category and Grok 4.20 (Non-Reasoning) in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 18.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for Command A and 75% for Grok 4.20 (Non-Reasoning).
- Grok 4.20 (Non-Reasoning) is cheaper at $1.25 / $2.50 per million input/output tokens, against $2.50 / $10 for Command A.
- Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 256K.
- Command A has downloadable open weights; the other is API-only.
Side by side
| Command A | Grok 4.20 (Non-Reasoning) | |
|---|---|---|
| Provider | Cohere | xAI |
| Noometry Index | 36.5 | 48.6 |
| Released | 2025-03-13 | 2026-02-17 |
| Weights | Open | Proprietary |
| Context window | 256K | 1M |
| Max output | 8K | 30K |
| Input $ / M tokens | $2.50 | $1.25 |
| Output $ / M tokens | $10 | $2.50 |
| Results tracked | 24 | 46 |
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Category by category
Coding Grok 4.20 (Non-Reasoning) leads
Command A: 27.2 (#322), Grok 4.20 (Non-Reasoning): 42.1 (#112)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Coding | 1330 | 1459 |
| Aider Polyglot | 12% | — |
| LMArena WebDev | — | 1375 |
| WeirdML | — | 52.3% |
| ALE-Bench | — | 1,150 |
Agentic & Tool Use Command A leads
Command A: 35.9 (#40), Grok 4.20 (Non-Reasoning): 34.4 (#46)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Terminal-Bench | — | 57.3% |
| Berkeley Function Calling Leaderboard | 57.1% | — |
| τ²-bench Banking | — | 18% |
| LMArena Search | — | 1189 |
| Vending-Bench 2 | — | 4,663 |
Reasoning Grok 4.20 (Non-Reasoning) leads
Command A: 18.3 (#283), Grok 4.20 (Non-Reasoning): 52.3 (#32)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 75% |
| LMArena Hard Prompts | 1326 | 1451 |
| DTBench | 61.3% | 90.1% |
| LMCA | 10.3% | 38.7% |
| ARC-AGI-2 | — | 65.1% |
| NYT Connections (extended) | — | 85.4% |
| ARC-AGI-1 | — | 89.5% |
| Chess Puzzles | — | 24% |
| Thematic Generalization | — | 63.8% |
| Epoch Capabilities Index | — | 151.98 |
| ForecastBench | — | 61.4 |
Math Grok 4.20 (Non-Reasoning) leads
Command A: 36.2 (#171), Grok 4.20 (Non-Reasoning): 48.2 (#65)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Math | 1300 | 1455 |
| 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
Command A: 37.1 (#159), Grok 4.20 (Non-Reasoning): 52.8 (#60)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Expert | 1295 | 1439 |
| GPQA Diamond | — | 89.3% |
| SimpleQA Verified | — | 30.2% |
| Vectara Hallucination Rate | 9.3% | — |
Multimodal Not comparable
Command A: —, Grok 4.20 (Non-Reasoning): 33.3 (#98)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Vision | — | 1263 |
| Blueprint-Bench 2 | — | 0% |
| LMArena Document | — | 1416 |
Multilingual Grok 4.20 (Non-Reasoning) leads
Command A: 45.3 (#170), Grok 4.20 (Non-Reasoning): 54.5 (#40)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Non-English | 1313 | 1441 |
| LMArena Chinese | 1327 | 1481 |
| LMArena French | 1351 | 1476 |
| LMArena German | 1341 | 1465 |
| LMArena Japanese | 1285 | 1449 |
| LMArena Korean | 1285 | 1417 |
| LMArena Russian | 1314 | 1458 |
| LMArena Spanish | 1347 | 1443 |
Instruction Following Grok 4.20 (Non-Reasoning) leads
Command A: 69.1 (#177), Grok 4.20 (Non-Reasoning): 74.8 (#83)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Instruction Following | 1309 | 1420 |
Long Context Grok 4.20 (Non-Reasoning) leads
Command A: 40.6 (#151), Grok 4.20 (Non-Reasoning): 45.5 (#34)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Longer Query | 1334 | 1437 |
| CL-bench | — | 22.2% |
| CL-bench Life | — | 11.9% |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
Command A: 47.6 (#208), Grok 4.20 (Non-Reasoning): 65.7 (#44)
| Benchmark | Command A | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Text | 1331 | 1451 |
| LMArena Creative Writing | 1319 | 1438 |
| EQ-Bench Creative Writing | 1145 | 1574 |
| LMArena Multi-Turn | 1339 | 1456 |
Frequently asked questions
Is Command A better than Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 36.5 on the Noometry Index.
Which is cheaper, Command A or Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Command A lists at $2.50 and $10.
Is Command A or Grok 4.20 (Non-Reasoning) better for coding?
Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 27.2 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 (Non-Reasoning) does, with 1M tokens against 256K.
How many benchmarks do Command A and Grok 4.20 (Non-Reasoning) share?
21 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Grok 4.20 (Non-Reasoning) has 46.