Model comparison
Command R+ vs GPT-6.1 Sol
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 32.4 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Command R+ scores higher in 0 categories and GPT-6.1 Sol in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 9.2.
- GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $2.50 / $10 for Command R+.
- GPT-6.1 Sol 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-6.1 Sol | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 32.4 | 65.6 |
| Released | 2024-08-30 | 2026-09-29 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 4K | 128K |
| Input $ / M tokens | $2.50 | $2 |
| Output $ / M tokens | $10 | $10 |
| Results tracked | 34 | 34 |
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Category by category
Coding GPT-6.1 Sol leads
Command R+: 29.1 (#309), GPT-6.1 Sol: 63.2 (#8)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| LMArena Coding | 1187 | 1487 |
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| LMArena WebDev | — | 1755 |
| SciCode | — | 55.8% |
| BigCodeBench Instruct | 33.8% | — |
| LiveBench Coding | 19.1% | — |
| BigCodeBench Complete | 41.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 63.5% | — |
Agentic & Tool Use Not comparable
Command R+: —, GPT-6.1 Sol: 39.6 (#26)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| APEX-Agents | — | 60% |
| GDP.pdf | — | 32% |
Reasoning GPT-6.1 Sol leads
Command R+: 9.2 (#344), GPT-6.1 Sol: 81.9 (#2)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| LMArena Hard Prompts | 1186 | 1466 |
| Epoch Capabilities Index | 119.34 | 166.09 |
| ARC-AGI-2 | — | 94.2% |
| SimpleBench | 17.4% | — |
| NYT Connections (extended) | — | 95.5% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| Chess Puzzles | — | 61% |
| EBR-Bench | — | 54.3% |
| LiveBench Reasoning | 24.8% | — |
| Mystery Game Puzzles | — | 80% |
| DTBench | 54.9% | — |
| LiveBench Data Analysis | 38.1% | — |
| LMCA | 5% | — |
| LiveBench | 31.8% | — |
Math GPT-6.1 Sol leads
Command R+: 28.9 (#242), GPT-6.1 Sol: 93.7 (#1)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| LMArena Math | 1188 | 1464 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 100% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 99% |
| LiveBench Math | 21.3% | — |
Knowledge GPT-6.1 Sol leads
Command R+: 36.4 (#169), GPT-6.1 Sol: 71.8 (#4)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| LMArena Expert | 1174 | 1502 |
| GPQA Diamond | — | 95.4% |
| SimpleQA Verified | — | 73.9% |
| Vectara Hallucination Rate | 6.9% | — |
| MMLU | 69.4% | — |
Multimodal Not comparable
Command R+: —, GPT-6.1 Sol: 52.7 (#5)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | — | 1288 |
| Furniture Assembly | — | 80% |
Multilingual GPT-6.1 Sol leads
Command R+: 38.6 (#227), GPT-6.1 Sol: 54.3 (#46)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1216 | 1438 |
| LMArena Chinese | 1226 | 1477 |
| LMArena Russian | 1227 | 1455 |
| LMArena French | 1209 | — |
| LMArena German | 1216 | — |
| LMArena Japanese | 1166 | — |
| LMArena Korean | 1138 | — |
| LMArena Spanish | 1189 | — |
Instruction Following GPT-6.1 Sol leads
Command R+: 60.0 (#254), GPT-6.1 Sol: 77.0 (#29)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1197 | 1468 |
| LiveBench Instruction Following | 57.6% | — |
Long Context GPT-6.1 Sol leads
Command R+: 37.3 (#219), GPT-6.1 Sol: 44.9 (#54)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1230 | 1465 |
Writing & Preference GPT-6.1 Sol leads
Command R+: 43.5 (#228), GPT-6.1 Sol: 63.6 (#63)
| Benchmark | Command R+ | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1229 | 1447 |
| LMArena Creative Writing | 1235 | 1432 |
| LMArena Multi-Turn | 1213 | 1449 |
| LiveBench Language | 29.7% | — |
Frequently asked questions
Is Command R+ better than GPT-6.1 Sol?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 32.4 on the Noometry Index.
Which is cheaper, Command R+ or GPT-6.1 Sol?
GPT-6.1 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; Command R+ lists at $2.50 and $10.
Is Command R+ or GPT-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 29.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 128K.
How many benchmarks do Command R+ and GPT-6.1 Sol share?
13 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and GPT-6.1 Sol has 34.