| Signal | Llama 3.2 1B Instruct | Delta | Mistral Small 3 |
|---|---|---|---|
Capabilities | 17 | -33 | |
Pricing | 0 | +0 | |
Context window size | 76 | +4 | |
Recency | 35 | -23 | |
Output Capacity | 20 | -50 | |
| Overall Result | 2 wins | of 5 | 3 wins |
0
days ranked higher
0
days
30
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Meta
Mistral AI
Mistral Small 3 saves you $3.70/month
That's $44.40/year compared to Llama 3.2 1B Instruct at your current usage level of 100K calls/month.
| Metric | Llama 3.2 1B Instruct | Mistral Small 3 | Winner |
|---|---|---|---|
| Overall Score | 33 | 59 | Mistral Small 3 |
| Rank | #291 | #212 | Mistral Small 3 |
| Quality Rank | #291 | #212 | Mistral Small 3 |
| Adoption Rank | #291 | #212 | Mistral Small 3 |
| Parameters | 1B | 24B | -- |
| Context Window | 60K | 33K | Llama 3.2 1B Instruct |
| Pricing | $0.03/$0.20/M | $0.05/$0.08/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 50 | Mistral Small 3 |
| Pricing | 0 | 0 | Llama 3.2 1B Instruct |
| Context window size | 76 | 72 | Llama 3.2 1B Instruct |
| Recency | 35 | 58 | Mistral Small 3 |
| Output Capacity | 20 | 70 | 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 33/100 (rank #291), placing it in the top 0% of all 290 models tracked.
Scores 59/100 (rank #212), placing it in the top 27% of all 290 models tracked.
Mistral Small 3 has a 26-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Mistral Small 3 offers 43% better value per quality point. At 1M tokens/day, you'd spend $1.95/month with Mistral Small 3 vs $3.40/month with Llama 3.2 1B Instruct — a $1.45 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 (60K 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
Mistral Small 3 clearly outperforms Llama 3.2 1B Instruct with a significant 26.299999999999997-point lead. For most general use cases, Mistral Small 3 is the stronger choice. However, Llama 3.2 1B Instruct may still excel in niche scenarios.
Best for Quality
Llama 3.2 1B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3
43% lower pricing; better value at scale
Best for Reliability
Llama 3.2 1B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.2 1B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3.2 1B Instruct
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 3.2 1B Instruct | Mistral Small 3 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Mistral AI
Mistral Small 3 saves you $0.1026/month
That's 36% cheaper than Llama 3.2 1B Instruct 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 3.2 1B Instruct | Mistral Small 3 |
|---|---|---|
| Context Window | 60K | 33K |
| Max Output Tokens | -- | 16,384 |
| Open Source | Yes | Yes |
| Created | Sep 25, 2024 | Jan 30, 2025 |
Mistral Small 3 scores 59/100 (rank #212) compared to Llama 3.2 1B Instruct's 33/100 (rank #291), giving it a 26-point advantage. Mistral Small 3 is the stronger overall choice, though Llama 3.2 1B Instruct may excel in specific areas like certain benchmarks.
Llama 3.2 1B Instruct is ranked #291 and Mistral Small 3 is ranked #212 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 Llama 3.2 1B Instruct's $0.20/M output tokens — 2.5x more expensive. Input token pricing: Llama 3.2 1B Instruct at $0.03/M vs Mistral Small 3 at $0.05/M.
Llama 3.2 1B Instruct has a larger context window of 60,000 tokens compared to Mistral Small 3's 32,768 tokens. A larger context window means the model can process longer documents and conversations.