Command R (08-2024) vs Llama 3.3 70B Instruct
| Signal | Command R (08-2024) | Delta | Llama 3.3 70B Instruct |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 38 | -33 | |
Pricing | 99 | +0 | |
Context window size | 81 | 0 | |
Recency | 0 | -5 | |
Output Capacity | 58 | -15 | |
| Overall Result | 1 wins | of 6 | 4 wins |
Score History
40.5
current score
Llama 3.3 70B Instruct
right now
66.8
current score
Command R (08-2024)
Cohere
Llama 3.3 70B Instruct
Meta
Command R (08-2024) saves you $53.50/month
That's $642.00/year compared to Llama 3.3 70B Instruct at your current usage level of 100K calls/month.
| Metric | Command R (08-2024) | Llama 3.3 70B Instruct | Winner |
|---|---|---|---|
| Overall Score | 41 | 67 | Llama 3.3 70B Instruct |
| Rank | #173 | #143 | Llama 3.3 70B Instruct |
| Quality Rank | #173 | #143 | Llama 3.3 70B Instruct |
| Adoption Rank | #173 | #143 | Llama 3.3 70B Instruct |
| Parameters | -- | 70B | -- |
| Context Window | 128K | 131K | Llama 3.3 70B Instruct |
| Pricing | $0.15/$0.60/M | $0.59/$0.79/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Command R (08-2024) |
| Benchmarks | 38 | 71 | Llama 3.3 70B Instruct |
| Pricing | 99 | 99 | Command R (08-2024) |
| Context window size | 81 | 81 | Llama 3.3 70B Instruct |
| Recency | 0 | 5 | Llama 3.3 70B Instruct |
| Output Capacity | 58 | 72 | Llama 3.3 70B Instruct |
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 41/100 (rank #173), placing it in the top 41% of all 290 models tracked.
Scores 67/100 (rank #143), placing it in the top 51% of all 290 models tracked.
Llama 3.3 70B Instruct has a 26-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:
- Budget-friendly applications with moderate quality requirements
Choose Llama 3.3 70B Instruct when you need:
- Self-hosted deployments where you need full control over the model
Command R (08-2024) offers 46% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Command R (08-2024) vs $20.70/month with Llama 3.3 70B Instruct - a $9.45 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 (131K 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 (67/100) correlates with better nuance, coherence, and style in long-form content
Llama 3.3 70B Instruct clearly outperforms Command R (08-2024) with a significant 26.299999999999997-point lead. For most general use cases, Llama 3.3 70B Instruct is the stronger choice. However, Command R (08-2024) 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)
46% 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 - 46% 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) | Llama 3.3 70B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Command R (08-2024)
Cohere
Llama 3.3 70B Instruct
Meta
Command R (08-2024) saves you $1.02/month
That's 51% cheaper than Llama 3.3 70B Instruct 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) | Llama 3.3 70B Instruct |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 4,000 | 32,768 |
| Open Source | No | Yes |
| Created | Aug 30, 2024 | Dec 6, 2024 |