| Signal | Grok 4.20 | Delta | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 86 | +27 | |
Pricing | 98 | -2 | |
Context window size | 100 | +19 | |
Recency | 100 | +6 | |
Output Capacity | 20 | -50 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
88.8
current score
Grok 4.20
right now
60.6
current score
xAI
NVIDIA
Llama 3.3 Nemotron Super 49B V1.5 saves you $220.00/month
That's $2640.00/year compared to Grok 4.20 at your current usage level of 100K calls/month.
| Metric | Grok 4.20 | Llama 3.3 Nemotron Super 49B V1.5 | Winner |
|---|---|---|---|
| Overall Score | 89 | 61 | Grok 4.20 |
| Rank | #8 | #146 | Grok 4.20 |
| Quality Rank | #8 | #146 | Grok 4.20 |
| Adoption Rank | #8 | #146 | Grok 4.20 |
| Parameters | -- | 49B | -- |
| Context Window | 2000K | 131K | Grok 4.20 |
| Pricing | $1.25/$2.50/M | $0.10/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Grok 4.20 |
| Benchmarks | 86 | 59 | Grok 4.20 |
| Pricing | 98 | 100 | Llama 3.3 Nemotron Super 49B V1.5 |
| Context window size | 100 | 81 | Grok 4.20 |
| Recency | 100 | 94 | Grok 4.20 |
| Output Capacity | 20 | 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 89/100 (rank #8), placing it in the top 98% of all 290 models tracked.
Scores 61/100 (rank #146), placing it in the top 50% of all 290 models tracked.
Grok 4.20 has a 28-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 3.3 Nemotron Super 49B V1.5 offers 87% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with Llama 3.3 Nemotron Super 49B V1.5 vs $56.25/month with Grok 4.20 - a $48.75 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 (2000K 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 (89/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Grok 4.20 clearly outperforms Llama 3.3 Nemotron Super 49B V1.5 with a significant 28.199999999999996-point lead. For most general use cases, Grok 4.20 is the stronger choice. However, Llama 3.3 Nemotron Super 49B V1.5 may still excel in niche scenarios.
Best for Quality
Grok 4.20
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.3 Nemotron Super 49B V1.5
87% lower pricing; better value at scale
Best for Reliability
Grok 4.20
Higher uptime and faster response speeds
Best for Prototyping
Grok 4.20
Stronger community support and better developer experience
Best for Production
Grok 4.20
Wider enterprise adoption and proven at scale
by xAI
by NVIDIA
| Capability | Grok 4.20 | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
xAI
NVIDIA
Llama 3.3 Nemotron Super 49B V1.5 saves you $4.59/month
That's 87% cheaper than Grok 4.20 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 | Grok 4.20 | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Context Window | 2M | 131K |
| Max Output Tokens | -- | 16,384 |
| Open Source | No | Yes |
| Created | Mar 31, 2026 | Oct 10, 2025 |