Model comparison
Command R+ vs GPT-4.1 mini
GPT-4.1 mini is the stronger model overall, scoring 33.5 to 32.0 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Command R+ scores higher in 3 categories and GPT-4.1 mini in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.1 mini leads 73.9 to 60.2.
- The biggest single-benchmark swing is LMCA: 5% for Command R+ and 21.1% for GPT-4.1 mini.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $2.50 / $10 for Command R+.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 128K.
- Command R+ has downloadable open weights; the other is API-only.
Side by side
| Command R+ | GPT-4.1 mini | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 32.0 | 33.5 |
| Released | 2024-08-30 | 2025-04-14 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 4K | 33K |
| Input $ / M tokens | $2.50 | $0.40 |
| Output $ / M tokens | $10 | $1.60 |
| Results tracked | 34 | 47 |
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Category by category
Coding GPT-4.1 mini leads
Command R+: 28.6 (#304), GPT-4.1 mini: 30.4 (#286)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| BigCodeBench Instruct | 33.8% | 48.9% |
| LMArena Coding | 1187 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| LiveBench Coding | 19.1% | — |
| BigCodeBench Complete | 41.9% | — |
| CadEval | — | 16% |
| HumanEval+ | 56.7% | — |
| MBPP+ | 63.5% | — |
Agentic & Tool Use Not comparable
Command R+: —, GPT-4.1 mini: 33.0 (#52)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |
Reasoning GPT-4.1 mini leads
Command R+: 8.9 (#341), GPT-4.1 mini: 10.9 (#335)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| LMArena Hard Prompts | 1186 | 1349 |
| DTBench | 54.9% | 68.8% |
| LMCA | 5% | 21.1% |
| Epoch Capabilities Index | 119.28 | 135.01 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | 17.4% | — |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| LiveBench Reasoning | 24.8% | — |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | 38.1% | — |
| LiveBench | 31.8% | — |
Math Command R+ leads
Command R+: 26.6 (#239), GPT-4.1 mini: 23.1 (#264)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| LMArena Math | 1188 | 1343 |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| OTIS Mock AIME 2024-2025 | — | 44.7% |
| Omni-MATH | — | 49.1% |
| LiveBench Math | 21.3% | — |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |
Knowledge Command R+ leads
Command R+: 35.9 (#165), GPT-4.1 mini: 34.7 (#183)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| LMArena Expert | 1174 | 1338 |
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| Vectara Hallucination Rate | 6.9% | — |
| GPQA (HELM) | — | 61.4% |
| MMLU | 69.4% | — |
Multimodal Not comparable
Command R+: —, GPT-4.1 mini: 35.2 (#77)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |
Multilingual GPT-4.1 mini leads
Command R+: 38.8 (#222), GPT-4.1 mini: 45.9 (#161)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1216 | 1318 |
| LMArena Chinese | 1226 | 1329 |
| LMArena French | 1208 | 1357 |
| LMArena German | 1216 | 1349 |
| LMArena Japanese | 1166 | 1291 |
| LMArena Korean | 1138 | 1298 |
| LMArena Russian | 1227 | 1324 |
| LMArena Spanish | 1189 | 1319 |
Instruction Following GPT-4.1 mini leads
Command R+: 60.2 (#249), GPT-4.1 mini: 73.9 (#113)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1197 | 1332 |
| LiveBench Instruction Following | 57.6% | — |
| IFEval | — | 90.4% |
Long Context Command R+ leads
Command R+: 37.3 (#214), GPT-4.1 mini: 31.8 (#270)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1231 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference GPT-4.1 mini leads
Command R+: 43.7 (#223), GPT-4.1 mini: 48.8 (#193)
| Benchmark | Command R+ | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1229 | 1341 |
| LMArena Creative Writing | 1235 | 1300 |
| LMArena Multi-Turn | 1213 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |
| LiveBench Language | 29.7% | — |
Frequently asked questions
Is Command R+ better than GPT-4.1 mini?
GPT-4.1 mini is the stronger model overall, scoring 33.5 to 32.0 on the Noometry Index.
Which is cheaper, Command R+ or GPT-4.1 mini?
GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Command R+ lists at $2.50 and $10.
Is Command R+ or GPT-4.1 mini better for coding?
GPT-4.1 mini scores higher on coding benchmarks: 30.4 versus 28.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 128K.
How many benchmarks do Command R+ and GPT-4.1 mini share?
21 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and GPT-4.1 mini has 47.