| Signal | GPT-5 Chat | Delta | Mistral Small 3.2 24B |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 10 | +10 | |
Context window size | 81 | 0 | |
Recency | 93 | +9 | |
Output Capacity | 70 | -15 | |
| Overall Result | 2 wins | of 5 | 2 wins |
6
days ranked higher
5
days
19
days ranked higher
OpenAI
Mistral AI
Mistral Small 3.2 24B saves you $610.00/month
That's $7320.00/year compared to GPT-5 Chat at your current usage level of 100K calls/month.
| Metric | GPT-5 Chat | Mistral Small 3.2 24B | Winner |
|---|---|---|---|
| Overall Score | 75 | 76 | Mistral Small 3.2 24B |
| Rank | #91 | #90 | Mistral Small 3.2 24B |
| Quality Rank | #91 | #90 | Mistral Small 3.2 24B |
| Adoption Rank | #91 | #90 | Mistral Small 3.2 24B |
| Parameters | -- | 24B | -- |
| Context Window | 128K | 131K | Mistral Small 3.2 24B |
| Pricing | $1.25/$10.00/M | $0.06/$0.18/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | GPT-5 Chat |
| Pricing | 10 | 0 | GPT-5 Chat |
| Context window size | 81 | 81 | Mistral Small 3.2 24B |
| Recency | 93 | 84 | GPT-5 Chat |
| Output Capacity | 70 | 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 75/100 (rank #91), placing it in the top 69% of all 290 models tracked.
Scores 76/100 (rank #90), placing it in the top 69% of all 290 models tracked.
With only a 1-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 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 $168.75/month with GPT-5 Chat — a $165.15 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 (131K 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
GPT-5 Chat and Mistral Small 3.2 24B are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5 Chat
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
GPT-5 Chat
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Chat
Stronger community support and better developer experience
Best for Production
GPT-5 Chat
Wider enterprise adoption and proven at scale
by OpenAI
by Mistral AI
| Capability | GPT-5 Chat | Mistral Small 3.2 24B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Mistral AI
Mistral Small 3.2 24B saves you $13.93/month
That's 98% cheaper than GPT-5 Chat 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 Chat | Mistral Small 3.2 24B |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 16,384 | 131,072 |
| Open Source | No | Yes |
| Created | Aug 7, 2025 | Jun 20, 2025 |
Mistral Small 3.2 24B scores 76/100 (rank #90) compared to GPT-5 Chat's 75/100 (rank #91), giving it a 1-point advantage. Mistral Small 3.2 24B is the stronger overall choice, though GPT-5 Chat may excel in specific areas like certain benchmarks.
GPT-5 Chat is ranked #91 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 GPT-5 Chat's $10.00/M output tokens — 55.6x more expensive. Input token pricing: GPT-5 Chat at $1.25/M vs Mistral Small 3.2 24B at $0.06/M.
Mistral Small 3.2 24B has a larger context window of 131,072 tokens compared to GPT-5 Chat's 128,000 tokens. A larger context window means the model can process longer documents and conversations.