Model comparison
Command R vs Mercury 2.5
Mercury 2.5 is the stronger model overall, scoring 33.5 to 31.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
CohereSummary
- The widest gap is in coding, where Mercury 2.5 leads 39.5 to 29.3.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.15 / $0.60 for Command R.
- Mercury 2.5 accepts more context: 260K tokens versus 128K.
- Command R has downloadable open weights; the other is API-only.
Side by side
| Command R | Mercury 2.5 | |
|---|---|---|
| Provider | Cohere | Inception |
| Noometry Index | 31.4 | 33.5 |
| Released | 2024-08-30 | 2026-09-08 |
| Weights | Open | Proprietary |
| Context window | 128K | 260K |
| Max output | 4K | 66K |
| Input $ / M tokens | $0.15 | $0.04 |
| Output $ / M tokens | $0.60 | $0.15 |
| Results tracked | 29 | 4 |
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Category by category
Coding Mercury 2.5 leads
Command R: 29.3 (#306), Mercury 2.5: 39.5 (#156)
| Benchmark | Command R | Mercury 2.5 |
|---|---|---|
| SciCode | — | 38.5% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| LMArena Coding | 1169 | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 301.65 |
Reasoning Mercury 2.5 leads
Command R: 13.8 (#331), Mercury 2.5: 22.4 (#193)
| Benchmark | Command R | Mercury 2.5 |
|---|---|---|
| CritPt | — | 0% |
| LiveBench Reasoning | 21.9% | — |
| LMArena Hard Prompts | 1164 | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| LiveBench | 27.5% | — |
Math Command R leads
Command R: 28.0 (#246), Mercury 2.5: 23.3 (#272)
| Benchmark | Command R | Mercury 2.5 |
|---|---|---|
| ProofBench | — | 3% |
| LiveBench Math | 19.4% | — |
| LMArena Math | 1155 | — |
Knowledge Not comparable
Command R: 31.0 (#221), Mercury 2.5: —
| Benchmark | Command R | Mercury 2.5 |
|---|---|---|
| LMArena Expert | 1138 | — |
| MMLU | 65.2% | — |
Multilingual Not comparable
Command R: 35.7 (#245), Mercury 2.5: —
| Benchmark | Command R | Mercury 2.5 |
|---|---|---|
| LMArena Non-English | 1174 | — |
| LMArena Chinese | 1182 | — |
| LMArena French | 1162 | — |
| LMArena German | 1176 | — |
| LMArena Japanese | 1143 | — |
| LMArena Korean | 1163 | — |
| LMArena Russian | 1174 | — |
| LMArena Spanish | 1151 | — |
Instruction Following Not comparable
Command R: 58.1 (#261), Mercury 2.5: —
| Benchmark | Command R | Mercury 2.5 |
|---|---|---|
| LiveBench Instruction Following | 55.6% | — |
| LMArena Instruction Following | 1167 | — |
Long Context Not comparable
Command R: 36.3 (#231), Mercury 2.5: —
| Benchmark | Command R | Mercury 2.5 |
|---|---|---|
| LMArena Longer Query | 1198 | — |
Writing & Preference Not comparable
Command R: 38.2 (#254), Mercury 2.5: —
| Benchmark | Command R | Mercury 2.5 |
|---|---|---|
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1170 | — |
| LMArena Multi-Turn | 1163 | — |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than Mercury 2.5?
Mercury 2.5 is the stronger model overall, scoring 33.5 to 31.4 on the Noometry Index.
Which is cheaper, Command R or Mercury 2.5?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Command R lists at $0.15 and $0.60.
Is Command R or Mercury 2.5 better for coding?
Mercury 2.5 scores higher on coding benchmarks: 39.5 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
Mercury 2.5 does, with 260K tokens against 128K.
How many benchmarks do Command R and Mercury 2.5 share?
0 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Mercury 2.5 has 4.