| Signal | Mistral Small 3 | Delta | Nova Lite 1.0 |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 0 | 0 | |
Context window size | 72 | -15 | |
Recency | 58 | +10 | |
Output Capacity | 70 | +8 | |
| Overall Result | 2 wins | of 5 | 2 wins |
10
days ranked higher
4
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16
days ranked higher
Mistral AI
Amazon
Mistral Small 3 saves you $9.00/month
That's $108.00/year compared to Nova Lite 1.0 at your current usage level of 100K calls/month.
| Metric | Mistral Small 3 | Nova Lite 1.0 | Winner |
|---|---|---|---|
| Overall Score | 59 | 59 | Mistral Small 3 |
| Rank | #212 | #213 | Mistral Small 3 |
| Quality Rank | #212 | #213 | Mistral Small 3 |
| Adoption Rank | #212 | #213 | Mistral Small 3 |
| Parameters | 24B | -- | -- |
| Context Window | 33K | 300K | Nova Lite 1.0 |
| Pricing | $0.05/$0.08/M | $0.06/$0.24/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Mistral Small 3 |
| Pricing | 0 | 0 | Nova Lite 1.0 |
| Context window size | 72 | 87 | Nova Lite 1.0 |
| Recency | 58 | 48 | Mistral Small 3 |
| Output Capacity | 70 | 62 | Mistral Small 3 |
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 59/100 (rank #212), placing it in the top 27% of all 290 models tracked.
Scores 59/100 (rank #213), placing it in the top 27% 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.
Mistral Small 3 offers 57% better value per quality point. At 1M tokens/day, you'd spend $1.95/month with Mistral Small 3 vs $4.50/month with Nova Lite 1.0 — a $2.55 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 3 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 ($0.08/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (59/100) 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 3 and Nova Lite 1.0 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Mistral Small 3
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3
57% lower pricing; better value at scale
Best for Reliability
Mistral Small 3
Higher uptime and faster response speeds
Best for Prototyping
Mistral Small 3
Stronger community support and better developer experience
Best for Production
Mistral Small 3
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Small 3 | Nova Lite 1.0 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Amazon
Mistral Small 3 saves you $0.2100/month
That's 53% cheaper than Nova Lite 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 3 | Nova Lite 1.0 |
|---|---|---|
| Context Window | 33K | 300K |
| Max Output Tokens | 16,384 | 5,120 |
| Open Source | Yes | No |
| Created | Jan 30, 2025 | Dec 5, 2024 |
Mistral Small 3 scores 59/100 (rank #212) compared to Nova Lite 1.0's 59/100 (rank #213), giving it a 0-point advantage. Mistral Small 3 is the stronger overall choice, though Nova Lite 1.0 may excel in specific areas like certain benchmarks.
Mistral Small 3 is ranked #212 and Nova Lite 1.0 is ranked #213 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 3 is cheaper at $0.08/M output tokens vs Nova Lite 1.0's $0.24/M output tokens — 3.0x more expensive. Input token pricing: Mistral Small 3 at $0.05/M vs Nova Lite 1.0 at $0.06/M.
Nova Lite 1.0 has a larger context window of 300,000 tokens compared to Mistral Small 3's 32,768 tokens. A larger context window means the model can process longer documents and conversations.