| Signal | Mistral Small 4 | Delta | Nova Premier 1.0 |
|---|---|---|---|
Capabilities | 83 | +33 | |
Pricing | 1 | -12 | |
Context window size | 86 | -9 | |
Recency | 100 | -- | |
Output Capacity | 20 | -55 | |
| Overall Result | 1 wins | of 5 | 3 wins |
16
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2
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12
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Mistral AI
Amazon
Mistral Small 4 saves you $830.00/month
That's $9960.00/year compared to Nova Premier 1.0 at your current usage level of 100K calls/month.
| Metric | Mistral Small 4 | Nova Premier 1.0 | Winner |
|---|---|---|---|
| Overall Score | 79 | 78 | Mistral Small 4 |
| Rank | #79 | #88 | Mistral Small 4 |
| Quality Rank | #79 | #88 | Mistral Small 4 |
| Adoption Rank | #79 | #88 | Mistral Small 4 |
| Parameters | -- | -- | -- |
| Context Window | 262K | 1000K | Nova Premier 1.0 |
| Pricing | $0.15/$0.60/M | $2.50/$12.50/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 50 | Mistral Small 4 |
| Pricing | 1 | 13 | Nova Premier 1.0 |
| Context window size | 86 | 95 | Nova Premier 1.0 |
| Recency | 100 | 100 | Mistral Small 4 |
| Output Capacity | 20 | 75 | Nova Premier 1.0 |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 79/100 (rank #79), placing it in the top 73% of all 290 models tracked.
Scores 78/100 (rank #88), placing it in the top 70% of all 290 models tracked.
With only a 2-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.
Mistral Small 4 offers 95% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Mistral Small 4 vs $225.00/month with Nova Premier 1.0 - a $213.75 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
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. Mistral Small 4 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 ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) 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 Small 4 and Nova Premier 1.0 are extremely close in overall performance (only 1.6000000000000085 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Mistral Small 4
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 4
95% lower pricing; better value at scale
Best for Reliability
Mistral Small 4
Higher uptime and faster response speeds
Best for Prototyping
Mistral Small 4
Stronger community support and better developer experience
Best for Production
Mistral Small 4
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Small 4 | Nova Premier 1.0 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
Amazon
Mistral Small 4 saves you $18.51/month
That's 95% 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 Small 4 | Nova Premier 1.0 |
|---|---|---|
| Context Window | 262K | 1M |
| Max Output Tokens | -- | 32,000 |
| Open Source | Yes | No |
| Created | Mar 16, 2026 | Oct 31, 2025 |
Mistral Small 4 scores 79/100 (rank #79) compared to Nova Premier 1.0's 78/100 (rank #88), giving it a 2-point advantage. Mistral Small 4 is the stronger overall choice, though Nova Premier 1.0 may excel in specific areas like certain benchmarks.
Mistral Small 4 is ranked #79 and Nova Premier 1.0 is ranked #88 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Mistral Small 4 is cheaper at $0.60/M output tokens vs Nova Premier 1.0's $12.50/M output tokens - 20.8x more expensive. Input token pricing: Mistral Small 4 at $0.15/M vs Nova Premier 1.0 at $2.50/M.
Nova Premier 1.0 has a larger context window of 1,000,000 tokens compared to Mistral Small 4's 262,144 tokens. A larger context window means the model can process longer documents and conversations.