| Signal | Llama 3.2 1B Instruct | Delta | Mistral Medium 3 |
|---|---|---|---|
Capabilities | 17 | -50 | |
Benchmarks | 19 | +19 | |
Pricing | 100 | +2 | |
Context window size | 76 | -5 | |
Recency | 31 | -41 | |
Output Capacity | 20 | -- | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
17.8
current score
Llama 3.2 1B Instruct
right now
14.6
current score
Meta
Mistral AI
Llama 3.2 1B Instruct saves you $127.30/month
That's $1527.60/year compared to Mistral Medium 3 at your current usage level of 100K calls/month.
| Metric | Llama 3.2 1B Instruct | Mistral Medium 3 | Winner |
|---|---|---|---|
| Overall Score | 18 | 15 | Llama 3.2 1B Instruct |
| Rank | #312 | #313 | Llama 3.2 1B Instruct |
| Quality Rank | #312 | #313 | Llama 3.2 1B Instruct |
| Adoption Rank | #312 | #313 | Llama 3.2 1B Instruct |
| Parameters | 1B | -- | -- |
| Context Window | 60K | 131K | Mistral Medium 3 |
| Pricing | $0.03/$0.20/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 67 | Mistral Medium 3 |
| Benchmarks | 19 | -- | Llama 3.2 1B Instruct |
| Pricing | 100 | 98 | Llama 3.2 1B Instruct |
| Context window size | 76 | 81 | Mistral Medium 3 |
| Recency | 31 | 72 | Mistral Medium 3 |
| Output Capacity | 20 | 20 | Llama 3.2 1B Instruct |
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 18/100 (rank #312), placing it in the top -7% of all 290 models tracked.
Scores 15/100 (rank #313), placing it in the top -8% of all 290 models tracked.
With only a 3-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.
Llama 3.2 1B Instruct offers 91% better value per quality point. At 1M tokens/day, you'd spend $3.40/month with Llama 3.2 1B Instruct vs $36.00/month with Mistral Medium 3 - a $32.59 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. Llama 3.2 1B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (18/100) 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
Llama 3.2 1B Instruct has a moderate advantage with a 3.200000000000001-point lead in composite score. It wins on more signal dimensions, but Mistral Medium 3 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Llama 3.2 1B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 1B Instruct
91% 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 Medium 3 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Mistral AI
Llama 3.2 1B Instruct saves you $2.83/month
That's 91% cheaper than Mistral Medium 3 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 Medium 3 |
|---|---|---|
| Context Window | 60K | 131K |
| Max Output Tokens | -- | -- |
| Open Source | Yes | No |
| Created | Sep 25, 2024 | May 7, 2025 |
Llama 3.2 1B Instruct scores 18/100 (rank #312) compared to Mistral Medium 3's 15/100 (rank #313), giving it a 3-point advantage. Llama 3.2 1B Instruct is the stronger overall choice, though Mistral Medium 3 may excel in specific areas like certain benchmarks.
Llama 3.2 1B Instruct is ranked #312 and Mistral Medium 3 is ranked #313 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.
Llama 3.2 1B Instruct is cheaper at $0.20/M output tokens vs Mistral Medium 3's $2.00/M output tokens - 10.0x more expensive. Input token pricing: Llama 3.2 1B Instruct at $0.03/M vs Mistral Medium 3 at $0.40/M.
Mistral Medium 3 has a larger context window of 131,072 tokens compared to Llama 3.2 1B Instruct's 60,000 tokens. A larger context window means the model can process longer documents and conversations.