GPT-5.2 Pro (batch) vs Mistral Small 3.1 24B
| Signal | GPT-5.2 Pro (batch) | Delta | Mistral Small 3.1 24B |
|---|---|---|---|
Capabilities | 100 | +67 | |
Benchmarks | 89 | +89 | |
Pricing | 16 | -83 | |
Context window size | 89 | +8 | |
Recency | 89 | +49 | |
Output Capacity | 85 | -- | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
90.5
current score
GPT-5.2 Pro (batch)
right now
40
current score
GPT-5.2 Pro (batch)
OpenAI
Mistral Small 3.1 24B
Mistral AI
Mistral Small 3.1 24B saves you $5187.15/month
That's $62245.80/year compared to GPT-5.2 Pro (batch) at your current usage level of 100K calls/month.
| Metric | GPT-5.2 Pro (batch) | Mistral Small 3.1 24B | Winner |
|---|---|---|---|
| Overall Score | 91 | 40 | GPT-5.2 Pro (batch) |
| Rank | #27 | #338 | GPT-5.2 Pro (batch) |
| Quality Rank | #27 | #338 | GPT-5.2 Pro (batch) |
| Adoption Rank | #27 | #338 | GPT-5.2 Pro (batch) |
| Parameters | -- | 24B | -- |
| Context Window | 400K | 128K | GPT-5.2 Pro (batch) |
| Pricing | $10.50/$84.00/M | $0.35/$0.55/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 33 | GPT-5.2 Pro (batch) |
| Benchmarks | 89 | -- | GPT-5.2 Pro (batch) |
| Pricing | 16 | 99 | Mistral Small 3.1 24B |
| Context window size | 89 | 81 | GPT-5.2 Pro (batch) |
| Recency | 89 | 40 | GPT-5.2 Pro (batch) |
| Output Capacity | 85 | 85 | GPT-5.2 Pro (batch) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 91/100 (rank #27), placing it in the top 91% of all 290 models tracked.
Scores 40/100 (rank #338), placing it in the top -16% of all 290 models tracked.
GPT-5.2 Pro (batch) has a 51-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-5.2 Pro (batch) when you need:
- Processing long documents or large codebases (400K token context)
- Agentic applications using tool/function calling
- Step-by-step reasoning and chain-of-thought problem solving
Choose Mistral Small 3.1 24B when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Mistral Small 3.1 24B offers 99% better value per quality point. At 1M tokens/day, you'd spend $13.59/month with Mistral Small 3.1 24B vs $1417.50/month with GPT-5.2 Pro (batch) - a $1403.91 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Mistral Small 3.1 24B 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 ($0.55/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (91/100) 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-5.2 Pro (batch) clearly outperforms Mistral Small 3.1 24B with a significant 50.5-point lead. For most general use cases, GPT-5.2 Pro (batch) is the stronger choice. However, Mistral Small 3.1 24B may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-5.2 Pro (batch)
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
GPT-5.2 Pro (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2 Pro (batch)
Stronger community support and better developer experience
Best for Production
GPT-5.2 Pro (batch)
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-5.2 Pro (batch) | Mistral Small 3.1 24B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
GPT-5.2 Pro (batch)
OpenAI
Mistral Small 3.1 24B
Mistral AI
Mistral Small 3.1 24B saves you $118.40/month
That's 99% cheaper than GPT-5.2 Pro (batch) 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-5.2 Pro (batch) | Mistral Small 3.1 24B |
|---|---|---|
| Context Window | 400K | 128K |
| Max Output Tokens | 128,000 | 128,000 |
| Open Source | No | Yes |
| Created | Dec 10, 2025 | Mar 17, 2025 |