Model comparison
Command R vs GPT-4o mini
Command R is the stronger model overall, scoring 31.4 to 25.5 on the Noometry Index.
Last verified . 29 shared benchmarks.
CohereSummary
- They share 29 benchmarks with published results for both. Command R scores higher in 4 categories and GPT-4o mini in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Command R leads 28.0 to 10.4.
- The biggest single-benchmark swing is LiveBench Coding: 17.9% for Command R and 43.1% for GPT-4o mini.
- Both cost about the same: $0.15 input and $0.60 output per million tokens.
- Command R has downloadable open weights; the other is API-only.
Side by side
| Command R | GPT-4o mini | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 31.4 | 25.5 |
| Released | 2024-08-30 | 2024-07-18 |
| Weights | Open | Proprietary |
| Context window | 128K | 128K |
| Max output | 4K | 16K |
| Input $ / M tokens | $0.15 | $0.15 |
| Output $ / M tokens | $0.60 | $0.60 |
| Results tracked | 29 | 60 |
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Category by category
Coding Command R leads
Command R: 29.3 (#306), GPT-4o mini: 22.0 (#335)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| BigCodeBench Instruct | 37.1% | 46.1% |
| LiveBench Coding | 17.9% | 43.1% |
| LMArena Coding | 1169 | 1290 |
| BigCodeBench Complete | 45.2% | 57.4% |
| Aider Polyglot | — | 3.6% |
| WeirdML | — | 11.8% |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Not comparable
Command R: —, GPT-4o mini: 27.5 (#101)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| BALROG | — | 17.4% |
Reasoning Command R leads
Command R: 13.8 (#331), GPT-4o mini: 8.7 (#347)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| LiveBench Reasoning | 21.9% | 32.8% |
| LMArena Hard Prompts | 1164 | 1267 |
| DTBench | 46.4% | 54.4% |
| LiveBench Data Analysis | 33.3% | 50% |
| LMCA | 9.2% | 10.4% |
| LiveBench | 27.5% | 41.3% |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 10.7% |
| Kagi LLM Benchmark | — | 28.8% |
| Chess Puzzles | — | 0% |
| Mystery Game Puzzles | — | 12% |
| Epoch Capabilities Index | — | 126.56 |
| PIQA | — | 88.7% |
Math Command R leads
Command R: 28.0 (#246), GPT-4o mini: 10.4 (#314)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| LiveBench Math | 19.4% | 36.3% |
| LMArena Math | 1155 | 1267 |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| OTIS Mock AIME 2024-2025 | — | 6.9% |
| Omni-MATH | — | 28% |
| MATH Level 5 | — | 52.6% |
| GSM8K | — | 91.3% |
Knowledge Command R leads
Command R: 31.0 (#221), GPT-4o mini: 17.7 (#284)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| LMArena Expert | 1138 | 1235 |
| MMLU | 65.2% | 81.8% |
| GPQA Diamond | — | 37.7% |
| SimpleQA Verified | — | 8.3% |
| MMLU-Pro | — | 60.3% |
| Confabulations | — | 37.2% |
| GPQA (HELM) | — | 36.8% |
| BoolQ | — | 88.7% |
Multimodal Not comparable
Command R: —, GPT-4o mini: 25.9 (#122)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| LMArena Vision | — | 1066 |
| Video-MME | — | 64.8% |
| GeoBench | — | 64% |
| VPCT | — | 34% |
Multilingual GPT-4o mini leads
Command R: 35.7 (#245), GPT-4o mini: 42.0 (#199)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| LMArena Non-English | 1174 | 1266 |
| LMArena Chinese | 1182 | 1265 |
| LMArena French | 1162 | 1297 |
| LMArena German | 1176 | 1272 |
| LMArena Japanese | 1143 | 1216 |
| LMArena Korean | 1163 | 1195 |
| LMArena Russian | 1174 | 1275 |
| LMArena Spanish | 1151 | 1276 |
Instruction Following GPT-4o mini leads
Command R: 58.1 (#261), GPT-4o mini: 61.9 (#239)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| LiveBench Instruction Following | 55.6% | 56.8% |
| LMArena Instruction Following | 1167 | 1258 |
| IFEval | — | 78.2% |
Long Context GPT-4o mini leads
Command R: 36.3 (#231), GPT-4o mini: 39.1 (#186)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | 1198 | 1289 |
Writing & Preference GPT-4o mini leads
Command R: 38.2 (#254), GPT-4o mini: 39.5 (#248)
| Benchmark | Command R | GPT-4o mini |
|---|---|---|
| LMArena Text | 1187 | 1286 |
| LMArena Creative Writing | 1170 | 1268 |
| LMArena Multi-Turn | 1163 | 1285 |
| LiveBench Language | 16.7% | 28.6% |
| Short-Story Creative Writing | — | 67.2% |
| EQ-Bench Creative Writing | — | 873 |
| WildBench | — | 79.1% |
Frequently asked questions
Is Command R better than GPT-4o mini?
Command R is the stronger model overall, scoring 31.4 to 25.5 on the Noometry Index.
Which is cheaper, Command R or GPT-4o mini?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Command R lists at $0.15 and $0.60.
Is Command R or GPT-4o mini better for coding?
Command R scores higher on coding benchmarks: 29.3 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Command R and GPT-4o mini share?
29 benchmarks have published results for both models. Command R has 29 scored results on Noometry and GPT-4o mini has 60.