GPT-3.5 Turbo 16k vs Ministral 3 8B 2512 (batch)
| Signal | GPT-3.5 Turbo 16k | Delta | Ministral 3 8B 2512 (batch) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 96 | -4 | |
Context window size | 67 | -19 | |
Recency | 0 | -79 | |
Output Capacity | 58 | -27 | |
| Overall Result | 0 wins | of 5 | 5 wins |
Score History
40
current score
Tied
right now
40
current score
GPT-3.5 Turbo 16k
OpenAI
Ministral 3 8B 2512 (batch)
Mistral AI
Ministral 3 8B 2512 (batch) saves you $488.75/month
That's $5865.00/year compared to GPT-3.5 Turbo 16k at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo 16k | Ministral 3 8B 2512 (batch) | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #406 | #348 | Ministral 3 8B 2512 (batch) |
| Quality Rank | #406 | #348 | Ministral 3 8B 2512 (batch) |
| Adoption Rank | #406 | #348 | Ministral 3 8B 2512 (batch) |
| Parameters | -- | 8B | -- |
| Context Window | 16K | 262K | Ministral 3 8B 2512 (batch) |
| Pricing | $3.00/$4.00/M | $0.07/$0.07/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Ministral 3 8B 2512 (batch) |
| Pricing | 96 | 100 | Ministral 3 8B 2512 (batch) |
| Context window size | 67 | 86 | Ministral 3 8B 2512 (batch) |
| Recency | 0 | 79 | Ministral 3 8B 2512 (batch) |
| Output Capacity | 58 | 85 | Ministral 3 8B 2512 (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 40/100 (rank #406), placing it in the top -40% of all 290 models tracked.
Scores 40/100 (rank #348), placing it in the top -20% 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.
Choose GPT-3.5 Turbo 16k when you need:
- Budget-friendly applications with moderate quality requirements
Choose Ministral 3 8B 2512 (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (262K token context)
- Multimodal workflows that require image understanding
- Self-hosted deployments where you need full control over the model
Ministral 3 8B 2512 (batch) offers 98% better value per quality point. At 1M tokens/day, you'd spend $2.25/month with Ministral 3 8B 2512 (batch) vs $105.00/month with GPT-3.5 Turbo 16k - a $102.75 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. Ministral 3 8B 2512 (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.07/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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-3.5 Turbo 16k and Ministral 3 8B 2512 (batch) are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
GPT-3.5 Turbo 16k
Marginally better benchmark scores; both are excellent
Best for Cost
Ministral 3 8B 2512 (batch)
98% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo 16k
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo 16k
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo 16k
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-3.5 Turbo 16k | Ministral 3 8B 2512 (batch) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
GPT-3.5 Turbo 16k
OpenAI
Ministral 3 8B 2512 (batch)
Mistral AI
Ministral 3 8B 2512 (batch) saves you $9.97/month
That's 98% cheaper than GPT-3.5 Turbo 16k 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-3.5 Turbo 16k | Ministral 3 8B 2512 (batch) |
|---|---|---|
| Context Window | 16K | 262K |
| Max Output Tokens | 4,096 | 209,715 |
| Open Source | No | Yes |
| Created | Aug 28, 2023 | Dec 2, 2025 |