Model comparison
Command R vs Kimi K2 (Jul 2025)
Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 31.0 on the Noometry Index. Command R costs 3.8× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
CohereSummary
- They share 17 benchmarks with published results for both. Command R scores higher in 0 categories and Kimi K2 (Jul 2025) in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.5 to 38.4.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) accepts more context: 262K tokens versus 128K.
Side by side
| Command R | Kimi K2 (Jul 2025) | |
|---|---|---|
| Provider | Cohere | Moonshot AI |
| Noometry Index | 31.0 | 40.9 |
| Released | 2024-08-30 | 2025-07-12 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 262K |
| Input $ / M tokens | $0.15 | $0.57 |
| Output $ / M tokens | $0.60 | $2.30 |
| Results tracked | 29 | 42 |
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Category by category
Coding Kimi K2 (Jul 2025) leads
Command R: 28.8 (#301), Kimi K2 (Jul 2025): 43.1 (#83)
| Benchmark | Command R | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Coding | 1170 | 1399 |
| SWE-bench Verified (bash only) | — | 63.4% |
| Aider Polyglot | — | 59.1% |
| GSO | — | 4.9% |
| WeirdML | — | 42.8% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 597.5 |
Agentic & Tool Use Not comparable
Command R: —, Kimi K2 (Jul 2025): 32.2 (#59)
| Benchmark | Command R | Kimi K2 (Jul 2025) |
|---|---|---|
| Terminal-Bench | — | 35.7% |
| Berkeley Function Calling Leaderboard | — | 59.1% |
| METR Time Horizons | — | 59.2% |
Reasoning Kimi K2 (Jul 2025) leads
Command R: 13.3 (#329), Kimi K2 (Jul 2025): 22.7 (#173)
| Benchmark | Command R | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1384 |
| SimpleBench | — | 26.3% |
| Kagi LLM Benchmark | — | 64.4% |
| LiveBench Reasoning | 21.9% | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| Epoch Capabilities Index | — | 146.02 |
| ForecastBench | — | 60.2 |
| LiveBench | 27.5% | — |
Math Kimi K2 (Jul 2025) leads
Command R: 25.8 (#244), Kimi K2 (Jul 2025): 40.1 (#81)
| Benchmark | Command R | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Math | 1155 | 1396 |
| Omni-MATH | — | 65.4% |
| LiveBench Math | 19.4% | — |
| FrontierMath (Feb 2025 set) | — | 21.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Kimi K2 (Jul 2025) leads
Command R: 30.5 (#219), Kimi K2 (Jul 2025): 36.9 (#153)
| Benchmark | Command R | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Expert | 1138 | 1363 |
| MMLU-Pro | — | 81.9% |
| Confabulations | — | 20.4% |
| Vectara Hallucination Rate | — | 17.9% |
| GPQA (HELM) | — | 65.3% |
| MMLU | 65.2% | — |
Multilingual Kimi K2 (Jul 2025) leads
Command R: 35.9 (#240), Kimi K2 (Jul 2025): 49.8 (#125)
| Benchmark | Command R | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | 1174 | 1372 |
| LMArena Chinese | 1182 | 1416 |
| LMArena French | 1161 | 1379 |
| LMArena German | 1176 | 1386 |
| LMArena Japanese | 1143 | 1349 |
| LMArena Korean | 1162 | 1324 |
| LMArena Russian | 1174 | 1384 |
| LMArena Spanish | 1150 | 1383 |
Instruction Following Kimi K2 (Jul 2025) leads
Command R: 58.3 (#256), Kimi K2 (Jul 2025): 71.3 (#151)
| Benchmark | Command R | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Instruction Following | 1167 | 1347 |
| LiveBench Instruction Following | 55.6% | — |
| IFEval | — | 85% |
Long Context Kimi K2 (Jul 2025) leads
Command R: 36.3 (#226), Kimi K2 (Jul 2025): 41.2 (#140)
| Benchmark | Command R | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Longer Query | 1198 | 1353 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |
Writing & Preference Kimi K2 (Jul 2025) leads
Command R: 38.4 (#248), Kimi K2 (Jul 2025): 62.5 (#76)
| Benchmark | Command R | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Text | 1187 | 1380 |
| LMArena Creative Writing | 1170 | 1349 |
| LMArena Multi-Turn | 1163 | 1371 |
| Short-Story Creative Writing | — | 85.6% |
| EQ-Bench Creative Writing | — | 1666 |
| WildBench | — | 86.2% |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than Kimi K2 (Jul 2025)?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 31.0 on the Noometry Index. Command R costs 3.8× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.
Which is cheaper, Command R or Kimi K2 (Jul 2025)?
Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.
Is Command R or Kimi K2 (Jul 2025) better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 43.1 versus 28.8 in the Noometry coding category.
Which has the bigger context window?
Kimi K2 (Jul 2025) does, with 262K tokens against 128K.
How many benchmarks do Command R and Kimi K2 (Jul 2025) share?
17 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Kimi K2 (Jul 2025) has 42.