| Signal | Command A | Delta | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|---|
Capabilities | 33 | -33 | |
Benchmarks | 51 | -8 | |
Pricing | 90 | -10 | |
Context window size | 77 | +4 | |
Recency | 48 | -38 | |
Output Capacity | 65 | -5 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
50.4
current score
Llama 3.3 Nemotron Super 49B V1.5
right now
60.1
current score
Cohere
NVIDIA
Llama 3.3 Nemotron Super 49B V1.5 saves you $690.00/month
That's $8280.00/year compared to Command A at your current usage level of 100K calls/month.
| Metric | Command A | Llama 3.3 Nemotron Super 49B V1.5 | Winner |
|---|---|---|---|
| Overall Score | 50 | 60 | Llama 3.3 Nemotron Super 49B V1.5 |
| Rank | #161 | #141 | Llama 3.3 Nemotron Super 49B V1.5 |
| Quality Rank | #161 | #141 | Llama 3.3 Nemotron Super 49B V1.5 |
| Adoption Rank | #161 | #141 | Llama 3.3 Nemotron Super 49B V1.5 |
| Parameters | -- | 49B | -- |
| Context Window | 256K | 131K | Command A |
| Pricing | $2.50/$10.00/M | $0.40/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 67 | Llama 3.3 Nemotron Super 49B V1.5 |
| Benchmarks | 51 | 59 | Llama 3.3 Nemotron Super 49B V1.5 |
| Pricing | 90 | 100 | Llama 3.3 Nemotron Super 49B V1.5 |
| Context window size | 77 | 73 | Command A |
| Recency | 48 | 86 | Llama 3.3 Nemotron Super 49B V1.5 |
| Output Capacity | 65 | 70 | Llama 3.3 Nemotron Super 49B V1.5 |
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 50/100 (rank #161), placing it in the top 45% of all 290 models tracked.
Scores 60/100 (rank #141), placing it in the top 52% of all 290 models tracked.
Llama 3.3 Nemotron Super 49B V1.5 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 3.3 Nemotron Super 49B V1.5 offers 94% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Llama 3.3 Nemotron Super 49B V1.5 vs $187.50/month with Command A - a $175.50 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
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. Llama 3.3 Nemotron Super 49B V1.5 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 ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (60/100) correlates with better nuance, coherence, and style in long-form content
Llama 3.3 Nemotron Super 49B V1.5 has a moderate advantage with a 9.700000000000003-point lead in composite score. It wins on more signal dimensions, but Command A 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 3.3 Nemotron Super 49B V1.5
94% 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
by NVIDIA
| Capability | Command A | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Cohere
NVIDIA
Llama 3.3 Nemotron Super 49B V1.5 saves you $15.30/month
That's 93% 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 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Context Window | 256K | 131K |
| Max Output Tokens | 8,192 | 16,384 |
| Open Source | Yes | Yes |
| Created | Mar 13, 2025 | Oct 10, 2025 |