| Signal | Claude 3.7 Sonnet | Delta | Mistral Small 3.1 24B |
|---|---|---|---|
Capabilities | 83 | +33 | |
Benchmarks | 80 | +80 | |
Pricing | 15 | +15 | |
Context window size | 84 | +3 | |
Recency | 62 | -4 | |
Output Capacity | 80 | -5 | |
| Overall Result | 4 wins | of 6 | 2 wins |
30
days ranked higher
0
days
0
days ranked higher
Anthropic
Mistral AI
Mistral Small 3.1 24B saves you $1041.50/month
That's $12498.00/year compared to Claude 3.7 Sonnet at your current usage level of 100K calls/month.
| Metric | Claude 3.7 Sonnet | Mistral Small 3.1 24B | Winner |
|---|---|---|---|
| Overall Score | 77 | 66 | Claude 3.7 Sonnet |
| Rank | #96 | #176 | Claude 3.7 Sonnet |
| Quality Rank | #96 | #176 | Claude 3.7 Sonnet |
| Adoption Rank | #96 | #176 | Claude 3.7 Sonnet |
| Parameters | -- | 24B | -- |
| Context Window | 200K | 131K | Claude 3.7 Sonnet |
| Pricing | $3.00/$15.00/M | $0.03/$0.11/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 50 | Claude 3.7 Sonnet |
| Benchmarks | 80 | -- | Claude 3.7 Sonnet |
| Pricing | 15 | 0 | Claude 3.7 Sonnet |
| Context window size | 84 | 81 | Claude 3.7 Sonnet |
| Recency | 62 | 65 | Mistral Small 3.1 24B |
| Output Capacity | 80 | 85 | Mistral Small 3.1 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 77/100 (rank #96), placing it in the top 67% of all 290 models tracked.
Scores 66/100 (rank #176), placing it in the top 40% of all 290 models tracked.
Claude 3.7 Sonnet has a 11-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Mistral Small 3.1 24B offers 99% better value per quality point. At 1M tokens/day, you'd spend $2.10/month with Mistral Small 3.1 24B vs $270.00/month with Claude 3.7 Sonnet - a $267.90 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 3.1 24B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.11/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (77/100) 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
Claude 3.7 Sonnet clearly outperforms Mistral Small 3.1 24B with a significant 10.899999999999991-point lead. For most general use cases, Claude 3.7 Sonnet is the stronger choice. However, Mistral Small 3.1 24B may still excel in niche scenarios.
Best for Quality
Claude 3.7 Sonnet
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3.1 24B
99% lower pricing; better value at scale
Best for Reliability
Claude 3.7 Sonnet
Higher uptime and faster response speeds
Best for Prototyping
Claude 3.7 Sonnet
Stronger community support and better developer experience
Best for Production
Claude 3.7 Sonnet
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude 3.7 Sonnet | Mistral Small 3.1 24B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Mistral AI
Mistral Small 3.1 24B saves you $23.21/month
That's 99% cheaper than Claude 3.7 Sonnet 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 | Claude 3.7 Sonnet | Mistral Small 3.1 24B |
|---|---|---|
| Context Window | 200K | 131K |
| Max Output Tokens | 64,000 | 131,072 |
| Open Source | No | Yes |
| Created | Feb 24, 2025 | Mar 17, 2025 |
Claude 3.7 Sonnet scores 77/100 (rank #96) compared to Mistral Small 3.1 24B's 66/100 (rank #176), giving it a 11-point advantage. Claude 3.7 Sonnet is the stronger overall choice, though Mistral Small 3.1 24B may excel in specific areas like cost efficiency.
Claude 3.7 Sonnet is ranked #96 and Mistral Small 3.1 24B is ranked #176 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 3.1 24B is cheaper at $0.11/M output tokens vs Claude 3.7 Sonnet's $15.00/M output tokens - 136.4x more expensive. Input token pricing: Claude 3.7 Sonnet at $3.00/M vs Mistral Small 3.1 24B at $0.03/M.
Claude 3.7 Sonnet has a larger context window of 200,000 tokens compared to Mistral Small 3.1 24B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.