Model comparison
Command A vs Gemini 3 Pro
Gemini 3 Pro is the stronger model overall, scoring 54.7 to 35.9 on the Noometry Index.
Last verified . 21 shared benchmarks.
Cohere
GoogleSummary
- They share 21 benchmarks with published results for both. Command A scores higher in 0 categories and Gemini 3 Pro in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3 Pro leads 52.5 to 17.7.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for Command A and 80.1% for Gemini 3 Pro.
- Command A has downloadable open weights; the other is API-only.
Side by side
| Command A | Gemini 3 Pro | |
|---|---|---|
| Provider | Cohere | |
| Noometry Index | 35.9 | 54.7 |
| Released | 2025-03-13 | 2025-11-18 |
| Weights | Open | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 67 |
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Category by category
Coding Gemini 3 Pro leads
Command A: 26.8 (#317), Gemini 3 Pro: 52.1 (#33)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| LMArena Coding | 1331 | 1482 |
| SWE-bench Verified | — | 72.9% |
| SWE-bench Verified (bash only) | — | 74.2% |
| Aider Polyglot | 12% | — |
| LMArena WebDev | — | 1439 |
| SWE-bench Multilingual | — | 68.7% |
| GSO | — | 18.6% |
| WeirdML | — | 69.9% |
| ALE-Bench | — | 1,177 |
| AlgoTune | — | 1.83 |
Agentic & Tool Use Gemini 3 Pro leads
Command A: 35.7 (#36), Gemini 3 Pro: 40.5 (#21)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | 72.5% |
| Terminal-Bench | — | 69.4% |
| GDPval | — | 40.3% |
| Remote Labor Index | — | 1.3% |
| τ²-bench Airline | — | 80.5% |
| τ²-bench Banking | — | 18% |
| τ²-bench Retail | — | 75.9% |
| τ²-bench Telecom | — | 91% |
| DeepResearch Bench | — | 46.3% |
| BALROG | — | 58.1% |
| LMArena Search | — | 1207 |
| METR Time Horizons | — | 71% |
| Vending-Bench 2 | — | 5,478 |
Reasoning Gemini 3 Pro leads
Command A: 17.7 (#276), Gemini 3 Pro: 52.5 (#28)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 80.1% |
| LMArena Hard Prompts | 1326 | 1481 |
| ARC-AGI-2 | — | 31.1% |
| SimpleBench | — | 76.4% |
| NYT Connections (extended) | — | 94.4% |
| ARC-AGI-1 | — | 75% |
| CritPt | — | 6.9% |
| Chess Puzzles | — | 31% |
| EnigmaEval | — | 18.2% |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| Epoch Capabilities Index | — | 152.96 |
| ForecastBench | — | 61.2 |
Math Gemini 3 Pro leads
Command A: 33.5 (#172), Gemini 3 Pro: 48.8 (#50)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| LMArena Math | 1300 | 1475 |
| MathArena Final-Answer Competitions | — | 67% |
| OTIS Mock AIME 2024-2025 | — | 91.4% |
| ProofBench | — | 20% |
| Omni-MATH | — | 55.5% |
| FrontierMath (Feb 2025 set) | — | 37.6% |
| FrontierMath Tier 4 (v1) | — | 18.8% |
Knowledge Gemini 3 Pro leads
Command A: 36.5 (#157), Gemini 3 Pro: 64.3 (#15)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 13.6% |
| LMArena Expert | 1295 | 1475 |
| GPQA Diamond | — | 92.6% |
| Humanity's Last Exam | — | 37.5% |
| MMLU-Pro | — | 90.3% |
| GPQA (HELM) | — | 80.3% |
Multimodal Not comparable
Command A: —, Gemini 3 Pro: 56.9 (#1)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| LMArena Vision | — | 1305 |
| GeoBench | — | 84% |
| VPCT | — | 91% |
| LMArena Document | — | 1434 |
Multilingual Gemini 3 Pro leads
Command A: 45.5 (#166), Gemini 3 Pro: 57.1 (#14)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| LMArena Non-English | 1313 | 1474 |
| LMArena Chinese | 1327 | 1522 |
| LMArena French | 1352 | 1492 |
| LMArena German | 1341 | 1517 |
| LMArena Japanese | 1283 | 1513 |
| LMArena Korean | 1285 | 1449 |
| LMArena Russian | 1314 | 1493 |
| LMArena Spanish | 1346 | 1468 |
Instruction Following Gemini 3 Pro leads
Command A: 69.3 (#172), Gemini 3 Pro: 76.4 (#42)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| LMArena Instruction Following | 1309 | 1458 |
| IFEval | — | 87.7% |
Long Context Gemini 3 Pro leads
Command A: 40.6 (#147), Gemini 3 Pro: 44.0 (#75)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| LMArena Longer Query | 1334 | 1472 |
| CL-bench | — | 15.8% |
Writing & Preference Gemini 3 Pro leads
Command A: 47.8 (#204), Gemini 3 Pro: 66.6 (#34)
| Benchmark | Command A | Gemini 3 Pro |
|---|---|---|
| LMArena Text | 1331 | 1479 |
| LMArena Creative Writing | 1319 | 1482 |
| EQ-Bench Creative Writing | 1145 | 1525 |
| LMArena Multi-Turn | 1338 | 1484 |
| WildBench | — | 85.9% |
Frequently asked questions
Is Command A better than Gemini 3 Pro?
Gemini 3 Pro is the stronger model overall, scoring 54.7 to 35.9 on the Noometry Index.
Is Command A or Gemini 3 Pro better for coding?
Gemini 3 Pro scores higher on coding benchmarks: 52.1 versus 26.8 in the Noometry coding category.
How many benchmarks do Command A and Gemini 3 Pro share?
21 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Gemini 3 Pro has 67.