| Signal | Command A | Delta | Llama 3.1 Nemotron 70B Instruct |
|---|---|---|---|
Capabilities | 33 | -17 | |
Benchmarks | 48 | +1 | |
Pricing | 90 | -9 | |
Context window size | 86 | +5 | |
Recency | 62 | +27 | |
Output Capacity | 65 | -5 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
49.3
current score
Command A
right now
44.6
current score
Cohere
NVIDIA
Llama 3.1 Nemotron 70B Instruct saves you $570.00/month
That's $6840.00/year compared to Command A at your current usage level of 100K calls/month.
| Metric | Command A | Llama 3.1 Nemotron 70B Instruct | Winner |
|---|---|---|---|
| Overall Score | 49 | 45 | Command A |
| Rank | #113 | #115 | Command A |
| Quality Rank | #113 | #115 | Command A |
| Adoption Rank | #113 | #115 | Command A |
| Parameters | -- | 70B | -- |
| Context Window | 256K | 131K | Command A |
| Pricing | $2.50/$10.00/M | $1.20/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 50 | Llama 3.1 Nemotron 70B Instruct |
| Benchmarks | 48 | 47 | Command A |
| Pricing | 90 | 99 | Llama 3.1 Nemotron 70B Instruct |
| Context window size | 86 | 81 | Command A |
| Recency | 62 | 35 | Command A |
| Output Capacity | 65 | 70 | Llama 3.1 Nemotron 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 49/100 (rank #113), placing it in the top 61% of all 290 models tracked.
Scores 45/100 (rank #115), placing it in the top 61% of all 290 models tracked.
With only a 5-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Llama 3.1 Nemotron 70B Instruct offers 81% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Llama 3.1 Nemotron 70B Instruct vs $187.50/month with Command A - a $151.50 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Llama 3.1 Nemotron 70B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (256K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.20/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 A has a moderate advantage with a 4.699999999999996-point lead in composite score. It wins on more signal dimensions, but Llama 3.1 Nemotron 70B Instruct has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Command A
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.1 Nemotron 70B Instruct
81% lower pricing; better value at scale
Best for Reliability
Command A
Higher uptime and faster response speeds
Best for Prototyping
Command A
Stronger community support and better developer experience
Best for Production
Command A
Wider enterprise adoption and proven at scale
by Cohere
| Capability | Command A | Llama 3.1 Nemotron 70B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
NVIDIA
Llama 3.1 Nemotron 70B Instruct saves you $12.90/month
That's 78% cheaper than Command A 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 A | Llama 3.1 Nemotron 70B Instruct |
|---|---|---|
| Context Window | 256K | 131K |
| Max Output Tokens | 8,192 | 16,384 |
| Open Source | Yes | Yes |
| Created | Mar 13, 2025 | Oct 15, 2024 |
Command A scores 49/100 (rank #113) compared to Llama 3.1 Nemotron 70B Instruct's 45/100 (rank #115), giving it a 5-point advantage. Command A is the stronger overall choice, though Llama 3.1 Nemotron 70B Instruct may excel in specific areas like cost efficiency.
Command A is ranked #113 and Llama 3.1 Nemotron 70B Instruct is ranked #115 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Llama 3.1 Nemotron 70B Instruct is cheaper at $1.20/M output tokens vs Command A's $10.00/M output tokens - 8.3x more expensive. Input token pricing: Command A at $2.50/M vs Llama 3.1 Nemotron 70B Instruct at $1.20/M.
Command A has a larger context window of 256,000 tokens compared to Llama 3.1 Nemotron 70B Instruct's 131,072 tokens. A larger context window means the model can process longer documents and conversations.