| Signal | Command A | Delta | Mistral Small 3.2 24B |
|---|---|---|---|
Capabilities | 33 | -33 | |
Pricing | 10 | +10 | |
Context window size | 86 | +5 | |
Recency | 66 | -18 | |
Output Capacity | 65 | -20 | |
| Overall Result | 2 wins | of 5 | 3 wins |
0
days ranked higher
0
days
30
days ranked higher
Cohere
Mistral AI
Mistral Small 3.2 24B saves you $735.00/month
That's $8820.00/year compared to Command A at your current usage level of 100K calls/month.
| Metric | Command A | Mistral Small 3.2 24B | Winner |
|---|---|---|---|
| Overall Score | 55 | 76 | Mistral Small 3.2 24B |
| Rank | #228 | #90 | Mistral Small 3.2 24B |
| Quality Rank | #228 | #90 | Mistral Small 3.2 24B |
| Adoption Rank | #228 | #90 | Mistral Small 3.2 24B |
| Parameters | -- | 24B | -- |
| Context Window | 256K | 131K | Command A |
| Pricing | $2.50/$10.00/M | $0.06/$0.18/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 67 | Mistral Small 3.2 24B |
| Pricing | 10 | 0 | Command A |
| Context window size | 86 | 81 | Command A |
| Recency | 66 | 84 | Mistral Small 3.2 24B |
| Output Capacity | 65 | 85 | Mistral Small 3.2 24B |
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 55/100 (rank #228), placing it in the top 22% of all 290 models tracked.
Scores 76/100 (rank #90), placing it in the top 69% of all 290 models tracked.
Mistral Small 3.2 24B has a 21-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Mistral Small 3.2 24B offers 98% better value per quality point. At 1M tokens/day, you'd spend $3.60/month with Mistral Small 3.2 24B vs $187.50/month with Command A — a $183.90 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 3.2 24B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (256K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.18/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (76/100) 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 3.2 24B clearly outperforms Command A with a significant 20.699999999999996-point lead. For most general use cases, Mistral Small 3.2 24B is the stronger choice. However, Command A may still excel in niche scenarios.
Best for Quality
Command A
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3.2 24B
98% lower pricing; better value at scale
Best for Reliability
Command A
Higher uptime and faster response speeds
Best for Prototyping
Command A
Stronger community support and better developer experience
Best for Production
Command A
Wider enterprise adoption and proven at scale
by Cohere
by Mistral AI
| Capability | Command A | Mistral Small 3.2 24B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
Mistral AI
Mistral Small 3.2 24B saves you $16.18/month
That's 98% cheaper than Command A 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 | Command A | Mistral Small 3.2 24B |
|---|---|---|
| Context Window | 256K | 131K |
| Max Output Tokens | 8,192 | 131,072 |
| Open Source | Yes | Yes |
| Created | Mar 13, 2025 | Jun 20, 2025 |
Mistral Small 3.2 24B scores 76/100 (rank #90) compared to Command A's 55/100 (rank #228), giving it a 21-point advantage. Mistral Small 3.2 24B is the stronger overall choice, though Command A may excel in specific areas like certain benchmarks.
Command A is ranked #228 and Mistral Small 3.2 24B is ranked #90 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 3.2 24B is cheaper at $0.18/M output tokens vs Command A's $10.00/M output tokens — 55.6x more expensive. Input token pricing: Command A at $2.50/M vs Mistral Small 3.2 24B at $0.06/M.
Command A has a larger context window of 256,000 tokens compared to Mistral Small 3.2 24B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.