Model comparison
Claude Sonnet 4.6 vs Command R7B
Claude Sonnet 4.6 has enough public results to be ranked (#50); Command R7B does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
CohereSummary
- The widest gap is in agentic & tool use, where Claude Sonnet 4.6 leads 39.1 to 26.1.
- Command R7B is cheaper at $0.0375 / $0.15 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 128K.
- Command R7B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Command R7B | |
|---|---|---|
| Provider | Anthropic | Cohere |
| Noometry Index | 50.3 | 32.5 |
| Released | 2026-02-17 | 2024-12-02 |
| Weights | Proprietary | Open |
| Context window | 1M | 128K |
| Max output | 128K | 4K |
| Input $ / M tokens | $3 | $0.0375 |
| Output $ / M tokens | $15 | $0.15 |
| Results tracked | 57 | 1 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Claude Sonnet 4.6: 46.3 (#67), Command R7B: —
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| LMArena Coding | 1504 | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 39.1 (#28), Command R7B: 26.1
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| Berkeley Function Calling Leaderboard | — | 32.1% |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Not comparable
Claude Sonnet 4.6: 46.1 (#45), Command R7B: —
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| LMArena Hard Prompts | 1484 | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.24 | — |
| ForecastBench | 62 | — |
Math Not comparable
Claude Sonnet 4.6: 52.9 (#49), Command R7B: —
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LMArena Math | 1462 | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Not comparable
Claude Sonnet 4.6: 51.7 (#65), Command R7B: —
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Command R7B: —
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.4 (#41), Command R7B: —
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Not comparable
Claude Sonnet 4.6: 77.4 (#25), Command R7B: —
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| LMArena Instruction Following | 1475 | — |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#44), Command R7B: —
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
Claude Sonnet 4.6: 70.2 (#22), Command R7B: —
| Benchmark | Claude Sonnet 4.6 | Command R7B |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Command R7B?
Claude Sonnet 4.6 has enough public results to be ranked (#50); Command R7B does not yet, so treat this comparison as directional.
Which is cheaper, Claude Sonnet 4.6 or Command R7B?
Command R7B is cheaper. It lists at $0.0375 per million input tokens and $0.15 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 128K.
How many benchmarks do Claude Sonnet 4.6 and Command R7B share?
0 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Command R7B has 1.