| Signal | Mistral Large | Delta | Nova Premier 1.0 |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 68 | +68 | |
Pricing | 94 | +7 | |
Context window size | 81 | -14 | |
Recency | 0 | -98 | |
Output Capacity | 20 | -55 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
65.9
current score
Mistral Large
right now
40
current score
Mistral AI
Amazon
Mistral Large saves you $375.00/month
That's $4500.00/year compared to Nova Premier 1.0 at your current usage level of 100K calls/month.
| Metric | Mistral Large | Nova Premier 1.0 | Winner |
|---|---|---|---|
| Overall Score | 66 | 40 | Mistral Large |
| Rank | #123 | #239 | Mistral Large |
| Quality Rank | #123 | #239 | Mistral Large |
| Adoption Rank | #123 | #239 | Mistral Large |
| Parameters | -- | -- | -- |
| Context Window | 128K | 1000K | Nova Premier 1.0 |
| Pricing | $2.00/$6.00/M | $2.50/$12.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Mistral Large |
| Benchmarks | 68 | -- | Mistral Large |
| Pricing | 94 | 88 | Mistral Large |
| Context window size | 81 | 95 | Nova Premier 1.0 |
| Recency | 0 | 98 | Nova Premier 1.0 |
| Output Capacity | 20 | 75 | Nova Premier 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%). Learn more about our methodology.
Scores 66/100 (rank #123), placing it in the top 58% of all 290 models tracked.
Scores 40/100 (rank #239), placing it in the top 18% of all 290 models tracked.
Mistral Large has a 26-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Mistral Large offers 47% better value per quality point. At 1M tokens/day, you'd spend $120.00/month with Mistral Large vs $225.00/month with Nova Premier 1.0 - a $105.00 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
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. Mistral Large also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($6.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (66/100) 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 clearly outperforms Nova Premier 1.0 with a significant 25.900000000000006-point lead. For most general use cases, Mistral Large is the stronger choice. However, Nova Premier 1.0 may still excel in niche scenarios.
Best for Quality
Mistral Large
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large
47% lower pricing; better value at scale
Best for Reliability
Mistral Large
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large
Stronger community support and better developer experience
Best for Production
Mistral Large
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Large | Nova Premier 1.0 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Amazon
Mistral Large saves you $8.70/month
That's 45% cheaper than Nova Premier 1.0 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 | Nova Premier 1.0 |
|---|---|---|
| Context Window | 128K | 1M |
| Max Output Tokens | -- | 32,000 |
| Open Source | No | No |
| Created | Feb 26, 2024 | Oct 31, 2025 |