Model comparison
Command R vs Gemini 3.7 Flash
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 31.4 on the Noometry Index. Command R costs 5.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Cohere
GoogleSummary
- They share 19 benchmarks with published results for both. Command R scores higher in 0 categories and Gemini 3.7 Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 13.8.
- The biggest single-benchmark swing is DTBench: 46.4% for Command R and 96.8% for Gemini 3.7 Flash.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 128K.
- Command R has downloadable open weights; the other is API-only.
Side by side
| Command R | Gemini 3.7 Flash | |
|---|---|---|
| Provider | Cohere | |
| Noometry Index | 31.4 | 59.8 |
| Released | 2024-08-30 | 2026-08-13 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 4K | 66K |
| Input $ / M tokens | $0.15 | $0.75 |
| Output $ / M tokens | $0.60 | $3.75 |
| Results tracked | 29 | 44 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 3.7 Flash leads
Command R: 29.3 (#306), Gemini 3.7 Flash: 56.2 (#22)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| LMArena Coding | 1169 | 1497 |
| DeepSWE | — | 65.5% |
| FrontierCode | — | 43.6% |
| LMArena WebDev | — | 1592 |
| FrontierSWE | — | 20.3% |
| SciCode | — | 59.8% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 904.3 |
Agentic & Tool Use Not comparable
Command R: —, Gemini 3.7 Flash: 42.1 (#19)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| APEX-Agents | — | 67.8% |
| Remote Labor Index | — | 5% |
| GDP.pdf | — | 23.8% |
Reasoning Gemini 3.7 Flash leads
Command R: 13.8 (#331), Gemini 3.7 Flash: 70.0 (#15)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1494 |
| DTBench | 46.4% | 96.8% |
| LMCA | 9.2% | 50.4% |
| ARC-AGI-2 | — | 84.6% |
| NYT Connections (extended) | — | 94% |
| ARC-AGI-1 | — | 95.5% |
| CritPt | — | 14.3% |
| Chess Puzzles | — | 47% |
| LiveBench Reasoning | 21.9% | — |
| Mystery Game Puzzles | — | 37% |
| LiveBench Data Analysis | 33.3% | — |
| Epoch Capabilities Index | — | 157.27 |
| LiveBench | 27.5% | — |
Math Gemini 3.7 Flash leads
Command R: 28.0 (#246), Gemini 3.7 Flash: 69.6 (#23)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| LMArena Math | 1155 | 1507 |
| FrontierMath (Tiers 1-3) | — | 71.6% |
| FrontierMath Tier 4 | — | 36.6% |
| OTIS Mock AIME 2024-2025 | — | 97.2% |
| ProofBench | — | 58% |
| LiveBench Math | 19.4% | — |
Knowledge Gemini 3.7 Flash leads
Command R: 31.0 (#221), Gemini 3.7 Flash: 69.7 (#5)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| LMArena Expert | 1138 | 1508 |
| GPQA Diamond | — | 94.8% |
| SimpleQA Verified | — | 69.2% |
| MMLU | 65.2% | — |
Multimodal Not comparable
Command R: —, Gemini 3.7 Flash: 37.3 (#73)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| LMArena Vision | — | 1316 |
| Furniture Assembly | — | 26.7% |
Multilingual Gemini 3.7 Flash leads
Command R: 35.7 (#245), Gemini 3.7 Flash: 57.6 (#7)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1174 | 1484 |
| LMArena Chinese | 1182 | 1548 |
| LMArena French | 1162 | 1505 |
| LMArena German | 1176 | 1498 |
| LMArena Japanese | 1143 | 1512 |
| LMArena Korean | 1163 | 1483 |
| LMArena Russian | 1174 | 1516 |
| LMArena Spanish | 1151 | 1503 |
Instruction Following Gemini 3.7 Flash leads
Command R: 58.1 (#261), Gemini 3.7 Flash: 77.7 (#15)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1167 | 1483 |
| LiveBench Instruction Following | 55.6% | — |
Long Context Gemini 3.7 Flash leads
Command R: 36.3 (#231), Gemini 3.7 Flash: 45.7 (#30)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1198 | 1492 |
Writing & Preference Gemini 3.7 Flash leads
Command R: 38.2 (#254), Gemini 3.7 Flash: 71.2 (#20)
| Benchmark | Command R | Gemini 3.7 Flash |
|---|---|---|
| LMArena Text | 1187 | 1486 |
| LMArena Creative Writing | 1170 | 1490 |
| LMArena Multi-Turn | 1163 | 1489 |
| EQ-Bench Creative Writing | — | 1723 |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than Gemini 3.7 Flash?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 31.4 on the Noometry Index. Command R costs 5.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Which is cheaper, Command R or Gemini 3.7 Flash?
Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.
Is Command R or Gemini 3.7 Flash better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.7 Flash does, with 1.05M tokens against 128K.
How many benchmarks do Command R and Gemini 3.7 Flash share?
19 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Gemini 3.7 Flash has 44.