Model comparison
Claude Haiku 4.5 vs Command A
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 36.5 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 7 categories and Command A in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Claude Haiku 4.5 leads 44.0 to 27.2.
- The biggest single-benchmark swing is LMCA: 30.9% for Claude Haiku 4.5 and 10.3% for Command A.
- Claude Haiku 4.5 is cheaper at $1 / $5 per million input/output tokens, against $2.50 / $10 for Command A.
- Command A accepts more context: 256K tokens versus 200K.
- Command A has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Command A | |
|---|---|---|
| Provider | Anthropic | Cohere |
| Noometry Index | 39.5 | 36.5 |
| Released | 2025-10-15 | 2025-03-13 |
| Weights | Proprietary | Open |
| Context window | 200K | 256K |
| Max output | 64K | 8K |
| Input $ / M tokens | $1 | $2.50 |
| Output $ / M tokens | $5 | $10 |
| Results tracked | 53 | 24 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Command A: 27.2 (#322)
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| LMArena Coding | 1453 | 1330 |
| SWE-bench Verified (bash only) | 66.6% | — |
| Aider Polyglot | — | 12% |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Command A leads
Claude Haiku 4.5: 33.6 (#52), Command A: 35.9 (#40)
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| Berkeley Function Calling Leaderboard | 68.7% | 57.1% |
| Terminal-Bench | 35.5% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Command A leads
Claude Haiku 4.5: 15.1 (#320), Command A: 18.3 (#283)
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1326 |
| DTBench | 73.6% | 61.3% |
| LMCA | 30.9% | 10.3% |
| ARC-AGI-2 | 4% | — |
| Kagi LLM Benchmark | — | 28.8% |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| Epoch Capabilities Index | 142.41 | — |
| ForecastBench | 61.4 | — |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), Command A: 36.2 (#171)
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| LMArena Math | 1396 | 1300 |
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| Omni-MATH | 56.1% | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Too close to call
Claude Haiku 4.5: 37.7 (#153), Command A: 37.1 (#159)
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| Vectara Hallucination Rate | 9.8% | 9.3% |
| LMArena Expert | 1442 | 1295 |
| GPQA Diamond | 71.2% | — |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| GPQA (HELM) | 60.5% | — |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Command A: —
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Command A: 45.3 (#170)
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| LMArena Non-English | 1377 | 1313 |
| LMArena Chinese | 1417 | 1327 |
| LMArena French | 1408 | 1351 |
| LMArena German | 1375 | 1341 |
| LMArena Japanese | 1339 | 1285 |
| LMArena Korean | 1347 | 1285 |
| LMArena Russian | 1381 | 1314 |
| LMArena Spanish | 1420 | 1347 |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Command A: 69.1 (#177)
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| LMArena Instruction Following | 1414 | 1309 |
| IFEval | 80.1% | — |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Command A: 40.6 (#151)
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| LMArena Longer Query | 1427 | 1334 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Command A: 47.6 (#208)
| Benchmark | Claude Haiku 4.5 | Command A |
|---|---|---|
| LMArena Text | 1396 | 1331 |
| LMArena Creative Writing | 1372 | 1319 |
| LMArena Multi-Turn | 1409 | 1339 |
| EQ-Bench Creative Writing | — | 1145 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Command A?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 36.5 on the Noometry Index.
Which is cheaper, Claude Haiku 4.5 or Command A?
Claude Haiku 4.5 is cheaper. It lists at $1 per million input tokens and $5 per million output tokens; Command A lists at $2.50 and $10.
Is Claude Haiku 4.5 or Command A better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 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 Haiku 4.5 and Command A share?
21 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Command A has 24.