Model comparison
Claude Sonnet 4.5 vs Command A
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 36.5 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 8 categories and Command A in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where Claude Sonnet 4.5 leads 47.3 to 27.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for Claude Sonnet 4.5 and 28.8% for Command A.
- Command A is cheaper at $2.50 / $10 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
- Command A accepts more context: 256K tokens versus 200K.
- Command A has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Command A | |
|---|---|---|
| Provider | Anthropic | Cohere |
| Noometry Index | 44.1 | 36.5 |
| Released | 2025-09-29 | 2025-03-13 |
| Weights | Proprietary | Open |
| Context window | 200K | 256K |
| Max output | 64K | 8K |
| Input $ / M tokens | $3 | $2.50 |
| Output $ / M tokens | $15 | $10 |
| Results tracked | 73 | 24 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.3 (#61), Command A: 27.2 (#322)
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| LMArena Coding | 1489 | 1330 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| Aider Polyglot | — | 12% |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 38.3 (#32), Command A: 35.9 (#40)
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| Berkeley Function Calling Leaderboard | 73.2% | 57.1% |
| Terminal-Bench | 46.5% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 26.9 (#125), Command A: 18.3 (#283)
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 28.8% |
| LMArena Hard Prompts | 1462 | 1326 |
| DTBench | 83.2% | 61.3% |
| LMCA | 38.8% | 10.3% |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math Command A leads
Claude Sonnet 4.5: 32.3 (#216), Command A: 36.2 (#171)
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| LMArena Math | 1449 | 1300 |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 48.4 (#76), Command A: 37.1 (#159)
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| Vectara Hallucination Rate | 12% | 9.3% |
| LMArena Expert | 1482 | 1295 |
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| GPQA (HELM) | 68.6% | — |
Multimodal Not comparable
Claude Sonnet 4.5: 34.8 (#89), Command A: —
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 53.4 (#69), Command A: 45.3 (#170)
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| LMArena Non-English | 1425 | 1313 |
| LMArena Chinese | 1459 | 1327 |
| LMArena French | 1458 | 1351 |
| LMArena German | 1427 | 1341 |
| LMArena Japanese | 1390 | 1285 |
| LMArena Korean | 1403 | 1285 |
| LMArena Russian | 1437 | 1314 |
| LMArena Spanish | 1457 | 1347 |
Instruction Following Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 75.0 (#78), Command A: 69.1 (#177)
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| LMArena Instruction Following | 1459 | 1309 |
| IFEval | 85% | — |
Long Context Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 45.2 (#46), Command A: 40.6 (#151)
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| LMArena Longer Query | 1476 | 1334 |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), Command A: 47.6 (#208)
| Benchmark | Claude Sonnet 4.5 | Command A |
|---|---|---|
| LMArena Text | 1439 | 1331 |
| LMArena Creative Writing | 1442 | 1319 |
| EQ-Bench Creative Writing | 1678 | 1145 |
| LMArena Multi-Turn | 1465 | 1339 |
| WildBench | 85.4% | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Command A?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 36.5 on the Noometry Index.
Which is cheaper, Claude Sonnet 4.5 or Command A?
Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.
Is Claude Sonnet 4.5 or Command A better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 27.2 in the Noometry coding category.
Which has the bigger context window?
Command A does, with 256K tokens against 200K.
How many benchmarks do Claude Sonnet 4.5 and Command A share?
23 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Command A has 24.