| Signal | Command R (08-2024) | Delta | WizardLM-2 8x22B |
|---|---|---|---|
Capabilities | 50 | +17 | |
Benchmarks | 47 | +16 | |
Pricing | 99 | -- | |
Context window size | 73 | +4 | |
Recency | 12 | +12 | |
Output Capacity | 60 | -5 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
48.3
current score
Command R (08-2024)
right now
28.5
current score
Cohere
Microsoft
Command R (08-2024) saves you $48.00/month
That's $576.00/year compared to WizardLM-2 8x22B at your current usage level of 100K calls/month.
| Metric | Command R (08-2024) | WizardLM-2 8x22B | Winner |
|---|---|---|---|
| Overall Score | 48 | 29 | Command R (08-2024) |
| Rank | #162 | #312 | Command R (08-2024) |
| Quality Rank | #162 | #312 | Command R (08-2024) |
| Adoption Rank | #162 | #312 | Command R (08-2024) |
| Parameters | -- | 22B | -- |
| Context Window | 128K | 66K | Command R (08-2024) |
| Pricing | $0.15/$0.60/M | $0.62/$0.62/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Command R (08-2024) |
| Benchmarks | 47 | 31 | Command R (08-2024) |
| Pricing | 99 | 99 | Command R (08-2024) |
| Context window size | 73 | 69 | Command R (08-2024) |
| Recency | 12 | 0 | Command R (08-2024) |
| Output Capacity | 60 | 65 | WizardLM-2 8x22B |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 48/100 (rank #162), placing it in the top 44% of all 290 models tracked.
Scores 29/100 (rank #312), placing it in the top -7% of all 290 models tracked.
Command R (08-2024) has a 20-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Command R (08-2024) offers 40% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Command R (08-2024) vs $18.60/month with WizardLM-2 8x22B - a $7.35 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Command R (08-2024) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (48/100) correlates with better nuance, coherence, and style in long-form content
Command R (08-2024) clearly outperforms WizardLM-2 8x22B with a significant 19.799999999999997-point lead. For most general use cases, Command R (08-2024) is the stronger choice. However, WizardLM-2 8x22B may still excel in niche scenarios.
Best for Quality
Command R (08-2024)
Marginally better benchmark scores; both are excellent
Best for Cost
Command R (08-2024)
40% lower pricing; better value at scale
Best for Reliability
Command R (08-2024)
Higher uptime and faster response speeds
Best for Prototyping
Command R (08-2024)
Stronger community support and better developer experience
Best for Production
Command R (08-2024)
Wider enterprise adoption and proven at scale
by Cohere
| Capability | Command R (08-2024) | WizardLM-2 8x22B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
Microsoft
Command R (08-2024) saves you $0.8700/month
That's 47% cheaper than WizardLM-2 8x22B at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Command R (08-2024) | WizardLM-2 8x22B |
|---|---|---|
| Context Window | 128K | 66K |
| Max Output Tokens | 4,000 | 8,000 |
| Open Source | No | Yes |
| Created | Aug 30, 2024 | Apr 16, 2024 |