| Signal | GPT-5 Mini | Delta | Mistral Small 4 |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 66 | +66 | |
Pricing | 2 | +1 | |
Context window size | 89 | +3 | |
Recency | 91 | -9 | |
Output Capacity | 85 | +65 | |
| Overall Result | 5 wins | of 6 | 1 wins |
8
days ranked higher
4
days
18
days ranked higher
OpenAI
Mistral AI
Mistral Small 4 saves you $80.00/month
That's $960.00/year compared to GPT-5 Mini at your current usage level of 100K calls/month.
| Metric | GPT-5 Mini | Mistral Small 4 | Winner |
|---|---|---|---|
| Overall Score | 79 | 79 | Mistral Small 4 |
| Rank | #82 | #79 | Mistral Small 4 |
| Quality Rank | #82 | #79 | Mistral Small 4 |
| Adoption Rank | #82 | #79 | Mistral Small 4 |
| Parameters | -- | -- | -- |
| Context Window | 400K | 262K | GPT-5 Mini |
| Pricing | $0.25/$2.00/M | $0.15/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5 Mini |
| Benchmarks | 66 | -- | GPT-5 Mini |
| Pricing | 2 | 1 | GPT-5 Mini |
| Context window size | 89 | 86 | GPT-5 Mini |
| Recency | 91 | 100 | Mistral Small 4 |
| Output Capacity | 85 | 20 | GPT-5 Mini |
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 79/100 (rank #82), placing it in the top 72% of all 290 models tracked.
Scores 79/100 (rank #79), placing it in the top 73% 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.
Mistral Small 4 offers 67% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Mistral Small 4 vs $33.75/month with GPT-5 Mini - a $22.50 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 4 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) 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-5 Mini and Mistral Small 4 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5 Mini
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 4
67% lower pricing; better value at scale
Best for Reliability
GPT-5 Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Mini
Stronger community support and better developer experience
Best for Production
GPT-5 Mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 Mini | Mistral Small 4 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Mistral AI
Mistral Small 4 saves you $1.86/month
That's 65% cheaper than GPT-5 Mini 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-5 Mini | Mistral Small 4 |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | Yes |
| Created | Aug 7, 2025 | Mar 16, 2026 |
Mistral Small 4 scores 79/100 (rank #79) compared to GPT-5 Mini's 79/100 (rank #82), giving it a 0-point advantage. Mistral Small 4 is the stronger overall choice, though GPT-5 Mini may excel in specific areas like certain benchmarks.
GPT-5 Mini is ranked #82 and Mistral Small 4 is ranked #79 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 4 is cheaper at $0.60/M output tokens vs GPT-5 Mini's $2.00/M output tokens - 3.3x more expensive. Input token pricing: GPT-5 Mini at $0.25/M vs Mistral Small 4 at $0.15/M.
GPT-5 Mini has a larger context window of 400,000 tokens compared to Mistral Small 4's 262,144 tokens. A larger context window means the model can process longer documents and conversations.