Model comparison
Command R+ vs Gemini 3.7 Flash
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 32.4 on the Noometry Index.
Last verified . 20 shared benchmarks.
Cohere
GoogleSummary
- They share 20 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 9.2.
- The biggest single-benchmark swing is LMCA: 5% for Command R+ and 50.4% for Gemini 3.7 Flash.
- Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2.50 / $10 for Command R+.
- 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 | 32.4 | 59.8 |
| Released | 2024-08-30 | 2026-08-13 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 4K | 66K |
| Input $ / M tokens | $2.50 | $0.75 |
| Output $ / M tokens | $10 | $3.75 |
| Results tracked | 34 | 44 |
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Category by category
Coding Gemini 3.7 Flash leads
Command R+: 29.1 (#309), Gemini 3.7 Flash: 56.2 (#22)
| Benchmark | Command R+ | Gemini 3.7 Flash |
|---|---|---|
| LMArena Coding | 1187 | 1497 |
| DeepSWE | — | 65.5% |
| FrontierCode | — | 43.6% |
| LMArena WebDev | — | 1592 |
| FrontierSWE | — | 20.3% |
| SciCode | — | 59.8% |
| BigCodeBench Instruct | 33.8% | — |
| LiveBench Coding | 19.1% | — |
| BigCodeBench Complete | 41.9% | — |
| ALE-Bench | — | 904.3 |
| HumanEval+ | 56.7% | — |
| MBPP+ | 63.5% | — |
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+: 9.2 (#344), Gemini 3.7 Flash: 70.0 (#15)
| Benchmark | Command R+ | Gemini 3.7 Flash |
|---|---|---|
| LMArena Hard Prompts | 1186 | 1494 |
| DTBench | 54.9% | 96.8% |
| LMCA | 5% | 50.4% |
| Epoch Capabilities Index | 119.34 | 157.27 |
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | 17.4% | — |
| NYT Connections (extended) | — | 94% |
| ARC-AGI-1 | — | 95.5% |
| CritPt | — | 14.3% |
| Chess Puzzles | — | 47% |
| LiveBench Reasoning | 24.8% | — |
| Mystery Game Puzzles | — | 37% |
| LiveBench Data Analysis | 38.1% | — |
| LiveBench | 31.8% | — |
Math Gemini 3.7 Flash leads
Command R+: 28.9 (#242), Gemini 3.7 Flash: 69.6 (#23)
| Benchmark | Command R+ | Gemini 3.7 Flash |
|---|---|---|
| LMArena Math | 1188 | 1507 |
| FrontierMath (Tiers 1-3) | — | 71.6% |
| FrontierMath Tier 4 | — | 36.6% |
| OTIS Mock AIME 2024-2025 | — | 97.2% |
| ProofBench | — | 58% |
| LiveBench Math | 21.3% | — |
Knowledge Gemini 3.7 Flash leads
Command R+: 36.4 (#169), Gemini 3.7 Flash: 69.7 (#5)
| Benchmark | Command R+ | Gemini 3.7 Flash |
|---|---|---|
| LMArena Expert | 1174 | 1508 |
| GPQA Diamond | — | 94.8% |
| SimpleQA Verified | — | 69.2% |
| Vectara Hallucination Rate | 6.9% | — |
| MMLU | 69.4% | — |
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+: 38.6 (#227), Gemini 3.7 Flash: 57.6 (#7)
| Benchmark | Command R+ | Gemini 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1216 | 1484 |
| LMArena Chinese | 1226 | 1548 |
| LMArena French | 1209 | 1505 |
| LMArena German | 1216 | 1498 |
| LMArena Japanese | 1166 | 1512 |
| LMArena Korean | 1138 | 1483 |
| LMArena Russian | 1227 | 1516 |
| LMArena Spanish | 1189 | 1503 |
Instruction Following Gemini 3.7 Flash leads
Command R+: 60.0 (#254), Gemini 3.7 Flash: 77.7 (#15)
| Benchmark | Command R+ | Gemini 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1197 | 1483 |
| LiveBench Instruction Following | 57.6% | — |
Long Context Gemini 3.7 Flash leads
Command R+: 37.3 (#219), Gemini 3.7 Flash: 45.7 (#30)
| Benchmark | Command R+ | Gemini 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1230 | 1492 |
Writing & Preference Gemini 3.7 Flash leads
Command R+: 43.5 (#228), Gemini 3.7 Flash: 71.2 (#20)
| Benchmark | Command R+ | Gemini 3.7 Flash |
|---|---|---|
| LMArena Text | 1229 | 1486 |
| LMArena Creative Writing | 1235 | 1490 |
| LMArena Multi-Turn | 1213 | 1489 |
| EQ-Bench Creative Writing | — | 1723 |
| LiveBench Language | 29.7% | — |
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 32.4 on the Noometry Index.
Which is cheaper, Command R+ or Gemini 3.7 Flash?
Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; Command R+ lists at $2.50 and $10.
Is Command R+ or Gemini 3.7 Flash better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 29.1 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?
20 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and Gemini 3.7 Flash has 44.