| Signal | GPT-4o-mini Search Preview | Delta | Mistral Small 3.1 24B (free) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 1 | -29 | |
Context window size | 81 | -- | |
Recency | 66 | -1 | |
Output Capacity | 70 | +50 | |
| Overall Result | 1 wins | of 5 | 3 wins |
8
days ranked higher
3
days
19
days ranked higher
OpenAI
Mistral AI
Mistral Small 3.1 24B (free) saves you $45.00/month
That's $540.00/year compared to GPT-4o-mini Search Preview at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini Search Preview | Mistral Small 3.1 24B (free) | Winner |
|---|---|---|---|
| Overall Score | 62 | 63 | Mistral Small 3.1 24B (free) |
| Rank | #181 | #179 | Mistral Small 3.1 24B (free) |
| Quality Rank | #181 | #179 | Mistral Small 3.1 24B (free) |
| Adoption Rank | #181 | #179 | Mistral Small 3.1 24B (free) |
| Parameters | -- | 24B | -- |
| Context Window | 128K | 128K | -- |
| Pricing | $0.15/$0.60/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Mistral Small 3.1 24B (free) |
| Pricing | 1 | 30 | Mistral Small 3.1 24B (free) |
| Context window size | 81 | 81 | GPT-4o-mini Search Preview |
| Recency | 66 | 67 | Mistral Small 3.1 24B (free) |
| Output Capacity | 70 | 20 | GPT-4o-mini Search Preview |
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 62/100 (rank #181), placing it in the top 38% of all 290 models tracked.
Scores 63/100 (rank #179), placing it in the top 39% 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (63/100) 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
GPT-4o-mini Search Preview and Mistral Small 3.1 24B (free) are extremely close in overall performance (only 0.10000000000000142 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o-mini Search Preview
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3.1 24B (free)
100% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini Search Preview
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini Search Preview
Stronger community support and better developer experience
Best for Production
GPT-4o-mini Search Preview
Wider enterprise adoption and proven at scale
by OpenAI
by Mistral AI
| Capability | GPT-4o-mini Search Preview | Mistral Small 3.1 24B (free) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Mistral AI
Mistral Small 3.1 24B (free) saves you $0.9900/month
That's 100% cheaper than GPT-4o-mini Search Preview 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 | GPT-4o-mini Search Preview | Mistral Small 3.1 24B (free) |
|---|---|---|
| Context Window | 128K | 128K |
| Max Output Tokens | 16,384 | -- |
| Open Source | No | Yes |
| Created | Mar 12, 2025 | Mar 17, 2025 |
Mistral Small 3.1 24B (free) scores 63/100 (rank #179) compared to GPT-4o-mini Search Preview's 62/100 (rank #181), giving it a 0-point advantage. Mistral Small 3.1 24B (free) is the stronger overall choice, though GPT-4o-mini Search Preview may excel in specific areas like certain benchmarks.
GPT-4o-mini Search Preview is ranked #181 and Mistral Small 3.1 24B (free) is ranked #179 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 (free) is cheaper at $0.00/M output tokens vs GPT-4o-mini Search Preview's $0.60/M output tokens — 600.0x more expensive. Input token pricing: GPT-4o-mini Search Preview at $0.15/M vs Mistral Small 3.1 24B (free) at $0.00/M.
GPT-4o-mini Search Preview has a larger context window of 128,000 tokens compared to Mistral Small 3.1 24B (free)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.