| Signal | Llama 3.3 Nemotron Super 49B V1.5 | Delta | Mistral Large 3 2512 |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 59 | -9 | |
Pricing | 100 | +1 | |
Context window size | 81 | -5 | |
Recency | 94 | -6 | |
Output Capacity | 70 | +50 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
60.6
current score
Mistral Large 3 2512
right now
67
current score
NVIDIA
Mistral AI
Llama 3.3 Nemotron Super 49B V1.5 saves you $95.00/month
That's $1140.00/year compared to Mistral Large 3 2512 at your current usage level of 100K calls/month.
| Metric | Llama 3.3 Nemotron Super 49B V1.5 | Mistral Large 3 2512 | Winner |
|---|---|---|---|
| Overall Score | 61 | 67 | Mistral Large 3 2512 |
| Rank | #146 | #115 | Mistral Large 3 2512 |
| Quality Rank | #146 | #115 | Mistral Large 3 2512 |
| Adoption Rank | #146 | #115 | Mistral Large 3 2512 |
| Parameters | 49B | -- | -- |
| Context Window | 131K | 262K | Mistral Large 3 2512 |
| Pricing | $0.10/$0.40/M | $0.50/$1.50/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Llama 3.3 Nemotron Super 49B V1.5 |
| Benchmarks | 59 | 68 | Mistral Large 3 2512 |
| Pricing | 100 | 99 | Llama 3.3 Nemotron Super 49B V1.5 |
| Context window size | 81 | 86 | Mistral Large 3 2512 |
| Recency | 94 | 100 | Mistral Large 3 2512 |
| Output Capacity | 70 | 20 | 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 61/100 (rank #146), placing it in the top 50% of all 290 models tracked.
Scores 67/100 (rank #115), placing it in the top 61% of all 290 models tracked.
Mistral Large 3 2512 has a 6-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 75% 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 $30.00/month with Mistral Large 3 2512 - a $22.50 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 (262K 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 (67/100) 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
Mistral Large 3 2512 has a moderate advantage with a 6.399999999999999-point lead in composite score. It wins on more signal dimensions, but Llama 3.3 Nemotron Super 49B V1.5 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Llama 3.3 Nemotron Super 49B V1.5
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.3 Nemotron Super 49B V1.5
75% lower pricing; better value at scale
Best for Reliability
Llama 3.3 Nemotron Super 49B V1.5
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.3 Nemotron Super 49B V1.5
Stronger community support and better developer experience
Best for Production
Llama 3.3 Nemotron Super 49B V1.5
Wider enterprise adoption and proven at scale
by NVIDIA
| Capability | Llama 3.3 Nemotron Super 49B V1.5 | Mistral Large 3 2512 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
NVIDIA
Mistral AI
Llama 3.3 Nemotron Super 49B V1.5 saves you $2.04/month
That's 76% cheaper than Mistral Large 3 2512 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 | Llama 3.3 Nemotron Super 49B V1.5 | Mistral Large 3 2512 |
|---|---|---|
| Context Window | 131K | 262K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | No |
| Created | Oct 10, 2025 | Dec 1, 2025 |