| Signal | Mistral Large 2411 | Delta | Nova Pro 1.0 |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 6 | +3 | |
Context window size | 81 | -6 | |
Recency | 42 | -3 | |
Output Capacity | 20 | -42 | |
| Overall Result | 1 wins | of 5 | 3 wins |
11
days higher
2
days
17
days higher
Mistral AI
Amazon
Nova Pro 1.0 saves you $260.00/month
That's $3120.00/year compared to Mistral Large 2411 at your current usage level of 100K calls/month.
| Metric | Mistral Large 2411 | Nova Pro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #287 | #285 | Nova Pro 1.0 |
| Quality Rank | #287 | #285 | Nova Pro 1.0 |
| Adoption Rank | #287 | #285 | Nova Pro 1.0 |
| Parameters | -- | -- | -- |
| Context Window | 131K | 300K | Nova Pro 1.0 |
| Pricing | $2.00/$6.00/M | $0.80/$3.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Mistral Large 2411 |
| Pricing | 6 | 3 | Mistral Large 2411 |
| Context window size | 81 | 87 | Nova Pro 1.0 |
| Recency | 42 | 45 | Nova Pro 1.0 |
| Output Capacity | 20 | 62 | Nova Pro 1.0 |
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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #287), placing it in the top 1% of all 290 models tracked.
Scores 40/100 (rank #285), placing it in the top 2% of all 290 models tracked.
With only a 0-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.
Nova Pro 1.0 offers 50% better value per quality point. At 1M tokens/day, you'd spend $60.00/month with Nova Pro 1.0 vs $120.00/month with Mistral Large 2411 - a $60.00 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. Nova Pro 1.0 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (300K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($3.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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 2411 and Nova Pro 1.0 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Mistral Large 2411
Marginally better benchmark scores; both are excellent
Best for Cost
Nova Pro 1.0
50% lower pricing; better value at scale
Best for Reliability
Mistral Large 2411
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large 2411
Stronger community support and better developer experience
Best for Production
Mistral Large 2411
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Large 2411 | Nova Pro 1.0 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Amazon
Nova Pro 1.0 saves you $5.52/month
That's 51% cheaper than Mistral Large 2411 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 | Mistral Large 2411 | Nova Pro 1.0 |
|---|---|---|
| Context Window | 131K | 300K |
| Max Output Tokens | -- | 5,120 |
| Open Source | No | No |
| Created | Nov 19, 2024 | Dec 5, 2024 |
Both Mistral Large 2411 and Nova Pro 1.0 score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Mistral Large 2411 is ranked #287 and Nova Pro 1.0 is ranked #285 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.
Nova Pro 1.0 is cheaper at $3.20/M output tokens vs Mistral Large 2411's $6.00/M output tokens - 1.9x more expensive. Input token pricing: Mistral Large 2411 at $2.00/M vs Nova Pro 1.0 at $0.80/M.
Nova Pro 1.0 has a larger context window of 300,000 tokens compared to Mistral Large 2411's 131,072 tokens. A larger context window means the model can process longer documents and conversations.