Model comparison
Claude Sonnet 4 vs Command R
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 31.4 on the Noometry Index. Command R costs 23× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
CohereSummary
- They share 19 benchmarks with published results for both. Claude Sonnet 4 scores higher in 7 categories and Command R in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4 leads 57.1 to 38.2.
- The biggest single-benchmark swing is DTBench: 77.1% for Claude Sonnet 4 and 46.4% for Command R.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Claude Sonnet 4 accepts more context: 200K tokens versus 128K.
- Command R has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Command R | |
|---|---|---|
| Provider | Anthropic | Cohere |
| Noometry Index | 40.8 | 31.4 |
| Released | 2025-05-22 | 2024-08-30 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 64K | 4K |
| Input $ / M tokens | $3 | $0.15 |
| Output $ / M tokens | $15 | $0.60 |
| Results tracked | 58 | 29 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 43.5 (#88), Command R: 29.3 (#306)
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| LMArena Coding | 1414 | 1169 |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| BigCodeBench Instruct | — | 37.1% |
| LiveBench Coding | — | 17.9% |
| BigCodeBench Complete | — | 45.2% |
| ALE-Bench | 655.35 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4: 38.5 (#31), Command R: —
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |
Reasoning Claude Sonnet 4 leads
Claude Sonnet 4: 22.9 (#187), Command R: 13.8 (#331)
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1164 |
| DTBench | 77.1% | 46.4% |
| LMCA | 29% | 9.2% |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 3.1% | — |
| LiveBench Reasoning | — | 21.9% |
| LiveBench Data Analysis | — | 33.3% |
| Epoch Capabilities Index | 141.69 | — |
| ForecastBench | 60.2 | — |
| LiveBench | — | 27.5% |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 43.3 (#80), Command R: 28.0 (#246)
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| LMArena Math | 1375 | 1155 |
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| Omni-MATH | 60.2% | — |
| LiveBench Math | — | 19.4% |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Claude Sonnet 4 leads
Claude Sonnet 4: 41.8 (#108), Command R: 31.0 (#221)
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| LMArena Expert | 1372 | 1138 |
| GPQA Diamond | 79.2% | — |
| Humanity's Last Exam | 7.8% | — |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |
| MMLU | — | 65.2% |
Multimodal Not comparable
Claude Sonnet 4: 26.2 (#121), Command R: —
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Claude Sonnet 4 leads
Claude Sonnet 4: 46.7 (#156), Command R: 35.7 (#245)
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| LMArena Non-English | 1333 | 1174 |
| LMArena Chinese | 1350 | 1182 |
| LMArena French | 1363 | 1162 |
| LMArena German | 1331 | 1176 |
| LMArena Japanese | 1302 | 1143 |
| LMArena Korean | 1291 | 1163 |
| LMArena Russian | 1355 | 1174 |
| LMArena Spanish | 1357 | 1151 |
Instruction Following Claude Sonnet 4 leads
Claude Sonnet 4: 71.7 (#145), Command R: 58.1 (#261)
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| LMArena Instruction Following | 1376 | 1167 |
| LiveBench Instruction Following | — | 55.6% |
| IFEval | 84% | — |
Long Context Command R leads
Claude Sonnet 4: 33.7 (#259), Command R: 36.3 (#231)
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| LMArena Longer Query | 1398 | 1198 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Claude Sonnet 4 leads
Claude Sonnet 4: 57.1 (#132), Command R: 38.2 (#254)
| Benchmark | Claude Sonnet 4 | Command R |
|---|---|---|
| LMArena Text | 1351 | 1187 |
| LMArena Creative Writing | 1345 | 1170 |
| LMArena Multi-Turn | 1376 | 1163 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |
| LiveBench Language | — | 16.7% |
Frequently asked questions
Is Claude Sonnet 4 better than Command R?
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 31.4 on the Noometry Index. Command R costs 23× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4 or Command R?
Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Command R better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 43.5 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4 does, with 200K tokens against 128K.
How many benchmarks do Claude Sonnet 4 and Command R share?
19 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Command R has 29.