Mistral Medium 3.5 (batch) vs Perceptron Mk1
| Signal | Mistral Medium 3.5 (batch) | Delta | Perceptron Mk1 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Pricing | 96 | -2 | |
Context window size | 86 | +14 | |
Recency | 100 | -- | |
Output Capacity | 85 | +22 | |
| Overall Result | 3 wins | of 5 | 1 wins |
Score History
40
current score
Tied
right now
40
current score
Mistral Medium 3.5 (batch)
Mistral AI
Perceptron Mk1
perceptron
Perceptron Mk1 saves you $172.50/month
That's $2070.00/year compared to Mistral Medium 3.5 (batch) at your current usage level of 100K calls/month.
| Metric | Mistral Medium 3.5 (batch) | Perceptron Mk1 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #256 | #254 | Perceptron Mk1 |
| Quality Rank | #256 | #254 | Perceptron Mk1 |
| Adoption Rank | #256 | #254 | Perceptron Mk1 |
| Parameters | -- | -- | -- |
| Context Window | 262K | 33K | Mistral Medium 3.5 (batch) |
| Pricing | $0.75/$3.75/M | $0.15/$1.50/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Mistral Medium 3.5 (batch) |
| Pricing | 96 | 99 | Perceptron Mk1 |
| Context window size | 86 | 72 | Mistral Medium 3.5 (batch) |
| Recency | 100 | 100 | Mistral Medium 3.5 (batch) |
| Output Capacity | 85 | 63 | Mistral Medium 3.5 (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 #256), placing it in the top 12% of all 290 models tracked.
Scores 40/100 (rank #254), placing it in the top 13% 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 Mistral Medium 3.5 (batch) when you need:
- Processing long documents or large codebases (262K token context)
- Agentic applications using tool/function calling
- Step-by-step reasoning and chain-of-thought problem solving
Choose Perceptron Mk1 when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
Perceptron Mk1 offers 63% better value per quality point. At 1M tokens/day, you'd spend $24.75/month with Perceptron Mk1 vs $67.50/month with Mistral Medium 3.5 (batch) - a $42.75 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. Perceptron Mk1 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 ($1.50/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
Mistral Medium 3.5 (batch) and Perceptron Mk1 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
Mistral Medium 3.5 (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Perceptron Mk1
63% lower pricing; better value at scale
Best for Reliability
Mistral Medium 3.5 (batch)
Higher uptime and faster response speeds
Best for Prototyping
Mistral Medium 3.5 (batch)
Stronger community support and better developer experience
Best for Production
Mistral Medium 3.5 (batch)
Wider enterprise adoption and proven at scale
by Mistral AI
- 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 | Mistral Medium 3.5 (batch) | Perceptron Mk1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral Medium 3.5 (batch)
Mistral AI
Perceptron Mk1
perceptron
Perceptron Mk1 saves you $3.78/month
That's 65% cheaper than Mistral Medium 3.5 (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 | Mistral Medium 3.5 (batch) | Perceptron Mk1 |
|---|---|---|
| Context Window | 262K | 33K |
| Max Output Tokens | 209,715 | 8,192 |
| Open Source | No | No |
| Created | Apr 30, 2026 | May 12, 2026 |