Model comparison
Command R vs Qwen3 8B
Qwen3 8B is the stronger model overall, scoring 33.7 to 31.4 on the Noometry Index.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Command R scores higher in 0 categories and Qwen3 8B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 8B leads 34.9 to 28.0.
- The biggest single-benchmark swing is DTBench: 46.4% for Command R and 59.7% for Qwen3 8B.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.18 / $0.70 for Qwen3 8B.
- Qwen3 8B accepts more context: 131K tokens versus 128K.
Side by side
| Command R | Qwen3 8B | |
|---|---|---|
| Provider | Cohere | Alibaba (Qwen) |
| Noometry Index | 31.4 | 33.7 |
| Released | 2024-08-30 | 2025-04 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 4K | 8K |
| Input $ / M tokens | $0.15 | $0.18 |
| Output $ / M tokens | $0.60 | $0.70 |
| Results tracked | 29 | 11 |
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Category by category
Coding Qwen3 8B leads
Command R: 29.3 (#306), Qwen3 8B: 34.0 (#248)
| Benchmark | Command R | Qwen3 8B |
|---|---|---|
| SciCode | — | 22.6% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| LMArena Coding | 1169 | — |
| BigCodeBench Complete | 45.2% | — |
Agentic & Tool Use Not comparable
Command R: —, Qwen3 8B: 30.2 (#78)
| Benchmark | Command R | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
Reasoning Qwen3 8B leads
Command R: 13.8 (#331), Qwen3 8B: 16.6 (#303)
| Benchmark | Command R | Qwen3 8B |
|---|---|---|
| DTBench | 46.4% | 59.7% |
| LMCA | 9.2% | 8.8% |
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | 21.9% | — |
| LMArena Hard Prompts | 1164 | — |
| LiveBench Data Analysis | 33.3% | — |
| Epoch Capabilities Index | — | 136.17 |
| LiveBench | 27.5% | — |
Math Qwen3 8B leads
Command R: 28.0 (#246), Qwen3 8B: 34.9 (#191)
| Benchmark | Command R | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |
| LiveBench Math | 19.4% | — |
| LMArena Math | 1155 | — |
Knowledge Qwen3 8B leads
Command R: 31.0 (#221), Qwen3 8B: 36.1 (#173)
| Benchmark | Command R | Qwen3 8B |
|---|---|---|
| GPQA Diamond | — | 56.8% |
| Vectara Hallucination Rate | — | 4.8% |
| LMArena Expert | 1138 | — |
| MMLU | 65.2% | — |
Multilingual Not comparable
Command R: 35.7 (#245), Qwen3 8B: —
| Benchmark | Command R | Qwen3 8B |
|---|---|---|
| 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), Qwen3 8B: —
| Benchmark | Command R | Qwen3 8B |
|---|---|---|
| LiveBench Instruction Following | 55.6% | — |
| LMArena Instruction Following | 1167 | — |
Long Context Qwen3 8B leads
Command R: 36.3 (#231), Qwen3 8B: 37.9 (#210)
| Benchmark | Command R | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| LMArena Longer Query | 1198 | — |
Writing & Preference Not comparable
Command R: 38.2 (#254), Qwen3 8B: —
| Benchmark | Command R | Qwen3 8B |
|---|---|---|
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1170 | — |
| LMArena Multi-Turn | 1163 | — |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than Qwen3 8B?
Qwen3 8B is the stronger model overall, scoring 33.7 to 31.4 on the Noometry Index.
Which is cheaper, Command R or Qwen3 8B?
Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3 8B lists at $0.18 and $0.70.
Is Command R or Qwen3 8B better for coding?
Qwen3 8B scores higher on coding benchmarks: 34.0 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
Qwen3 8B does, with 131K tokens against 128K.
How many benchmarks do Command R and Qwen3 8B share?
2 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Qwen3 8B has 11.