Model comparison
Command R vs Grok 4.5
Grok 4.5 is the stronger model overall, scoring 55.0 to 31.4 on the Noometry Index. Command R costs 11× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
CohereSummary
- They share 19 benchmarks with published results for both. Command R scores higher in 0 categories and Grok 4.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.1 to 13.8.
- The biggest single-benchmark swing is DTBench: 46.4% for Command R and 96.5% for Grok 4.5.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $6 for Grok 4.5.
- Grok 4.5 accepts more context: 500K tokens versus 128K.
- Command R has downloadable open weights; the other is API-only.
Side by side
| Command R | Grok 4.5 | |
|---|---|---|
| Provider | Cohere | xAI |
| Noometry Index | 31.4 | 55.0 |
| Released | 2024-08-30 | 2026-07-08 |
| Weights | Open | Proprietary |
| Context window | 128K | 500K |
| Max output | 4K | 500K |
| Input $ / M tokens | $0.15 | $2 |
| Output $ / M tokens | $0.60 | $6 |
| Results tracked | 29 | 52 |
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Category by category
Coding Grok 4.5 leads
Command R: 29.3 (#306), Grok 4.5: 52.2 (#35)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| LMArena Coding | 1169 | 1474 |
| DeepSWE | — | 53.8% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1553 |
| SciCode | — | 54.1% |
| WeirdML | — | 46.4% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 1,309 |
Agentic & Tool Use Not comparable
Command R: —, Grok 4.5: 44.4 (#17)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| APEX-Agents | — | 56.2% |
| τ²-bench Banking | — | 47.9% |
| PostTrainBench | — | 23.4% |
| GBAEval | — | 65.4% |
| GDP.pdf | — | 14% |
| LMArena Search | — | 1213 |
| Vending-Bench 2 | — | 3,887 |
Reasoning Grok 4.5 leads
Command R: 13.8 (#331), Grok 4.5: 56.1 (#25)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1462 |
| DTBench | 46.4% | 96.5% |
| LMCA | 9.2% | 45.2% |
| ARC-AGI-2 | — | 52.6% |
| SimpleBench | — | 70% |
| Kagi LLM Benchmark | — | 83.5% |
| NYT Connections (extended) | — | 79.9% |
| ARC-AGI-1 | — | 87.2% |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 36% |
| LiveBench Reasoning | 21.9% | — |
| LiveBench Data Analysis | 33.3% | — |
| Surface Evolver Bench | — | 74.4% |
| Epoch Capabilities Index | — | 153.92 |
| LiveBench | 27.5% | — |
Math Grok 4.5 leads
Command R: 28.0 (#246), Grok 4.5: 60.9 (#35)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| LMArena Math | 1155 | 1459 |
| FrontierMath (Tiers 1-3) | — | 57.2% |
| FrontierMath Tier 4 | — | 24.4% |
| OTIS Mock AIME 2024-2025 | — | 97.8% |
| ProofBench | — | 31% |
| LiveBench Math | 19.4% | — |
Knowledge Grok 4.5 leads
Command R: 31.0 (#221), Grok 4.5: 62.3 (#24)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| LMArena Expert | 1138 | 1466 |
| GPQA Diamond | — | 93.4% |
| SimpleQA Verified | — | 48.3% |
| MMLU | 65.2% | — |
Multimodal Not comparable
Command R: —, Grok 4.5: 37.6 (#72)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| LMArena Vision | — | 1288 |
| Blueprint-Bench 2 | — | 27.3% |
| Furniture Assembly | — | 22.5% |
| LMArena Document | — | 1452 |
Multilingual Grok 4.5 leads
Command R: 35.7 (#245), Grok 4.5: 54.4 (#42)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| LMArena Non-English | 1174 | 1440 |
| LMArena Chinese | 1182 | 1496 |
| LMArena French | 1162 | 1456 |
| LMArena German | 1176 | 1446 |
| LMArena Japanese | 1143 | 1428 |
| LMArena Korean | 1163 | 1404 |
| LMArena Russian | 1174 | 1448 |
| LMArena Spanish | 1151 | 1450 |
Instruction Following Grok 4.5 leads
Command R: 58.1 (#261), Grok 4.5: 76.0 (#48)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| LMArena Instruction Following | 1167 | 1446 |
| LiveBench Instruction Following | 55.6% | — |
Long Context Grok 4.5 leads
Command R: 36.3 (#231), Grok 4.5: 44.8 (#56)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| LMArena Longer Query | 1198 | 1463 |
Writing & Preference Grok 4.5 leads
Command R: 38.2 (#254), Grok 4.5: 65.8 (#42)
| Benchmark | Command R | Grok 4.5 |
|---|---|---|
| LMArena Text | 1187 | 1448 |
| LMArena Creative Writing | 1170 | 1442 |
| LMArena Multi-Turn | 1163 | 1456 |
| EQ-Bench Creative Writing | — | 1579 |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than Grok 4.5?
Grok 4.5 is the stronger model overall, scoring 55.0 to 31.4 on the Noometry Index. Command R costs 11× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Which is cheaper, Command R or Grok 4.5?
Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Grok 4.5 lists at $2 and $6.
Is Command R or Grok 4.5 better for coding?
Grok 4.5 scores higher on coding benchmarks: 52.2 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
Grok 4.5 does, with 500K tokens against 128K.
How many benchmarks do Command R and Grok 4.5 share?
19 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Grok 4.5 has 52.