Command R (08-2024) vs WizardLM-2 8x22B
| Signal | Command R (08-2024) | Delta | WizardLM-2 8x22B |
|---|---|---|---|
Capabilities | 50 | +17 | |
Benchmarks | 47 | +16 | |
Pricing | 99 | -- | |
Context window size | 81 | +5 | |
Recency | 4 | +4 | |
Output Capacity | 60 | -5 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
48.7
current score
Command R (08-2024)
right now
28.8
current score
Command R (08-2024)
Cohere
WizardLM-2 8x22B
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 | 49 | 29 | Command R (08-2024) |
| Rank | #227 | #372 | Command R (08-2024) |
| Quality Rank | #227 | #372 | Command R (08-2024) |
| Adoption Rank | #227 | #372 | 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 | 81 | 76 | Command R (08-2024) |
| Recency | 4 | 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 49/100 (rank #227), placing it in the top 22% of all 290 models tracked.
Scores 29/100 (rank #372), placing it in the top -28% 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.
Choose Command R (08-2024) when you need:
- Processing long documents or large codebases (128K token context)
- Agentic applications using tool/function calling
Choose WizardLM-2 8x22B when you need:
- Self-hosted deployments where you need full control over the model
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 (49/100) correlates with better nuance, coherence, and style in long-form content
Command R (08-2024) clearly outperforms WizardLM-2 8x22B with a significant 19.900000000000002-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.
By Use Case
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
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 40% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Command R (08-2024) | WizardLM-2 8x22B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Command R (08-2024)
Cohere
WizardLM-2 8x22B
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 |