| Signal | Devstral Medium | Delta | Nova Pro 1.0 |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 2 | -1 | |
Context window size | 81 | -6 | |
Recency | 87 | +39 | |
Output Capacity | 20 | -42 | |
| Overall Result | 1 wins | of 5 | 3 wins |
24
days ranked higher
3
days
3
days ranked higher
Mistral AI
Amazon
Devstral Medium saves you $100.00/month
That's $1200.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.
| Metric | Devstral Medium | Nova Pro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 63 | 59 | Devstral Medium |
| Rank | #201 | #227 | Devstral Medium |
| Quality Rank | #201 | #227 | Devstral Medium |
| Adoption Rank | #201 | #227 | Devstral Medium |
| Parameters | -- | -- | -- |
| Context Window | 131K | 300K | Nova Pro 1.0 |
| Pricing | $0.40/$2.00/M | $0.80/$3.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Devstral Medium |
| Pricing | 2 | 3 | Nova Pro 1.0 |
| Context window size | 81 | 87 | Nova Pro 1.0 |
| Recency | 87 | 48 | Devstral Medium |
| Output Capacity | 20 | 62 | Nova Pro 1.0 |
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 63/100 (rank #201), placing it in the top 31% of all 290 models tracked.
Scores 59/100 (rank #227), placing it in the top 22% of all 290 models tracked.
With only a 4-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.
Devstral Medium offers 40% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Devstral Medium vs $60.00/month with Nova Pro 1.0 - a $24.00 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. Devstral Medium also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (300K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (63/100) 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
Devstral Medium has a moderate advantage with a 4.399999999999999-point lead in composite score. It wins on more signal dimensions, but Nova Pro 1.0 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Devstral Medium
Marginally better benchmark scores; both are excellent
Best for Cost
Devstral Medium
40% lower pricing; better value at scale
Best for Reliability
Devstral Medium
Higher uptime and faster response speeds
Best for Prototyping
Devstral Medium
Stronger community support and better developer experience
Best for Production
Devstral Medium
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Devstral Medium | Nova Pro 1.0 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Amazon
Devstral Medium saves you $2.16/month
That's 41% cheaper than Nova Pro 1.0 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 | Devstral Medium | Nova Pro 1.0 |
|---|---|---|
| Context Window | 131K | 300K |
| Max Output Tokens | -- | 5,120 |
| Open Source | No | No |
| Created | Jul 10, 2025 | Dec 5, 2024 |
Devstral Medium scores 63/100 (rank #201) compared to Nova Pro 1.0's 59/100 (rank #227), giving it a 4-point advantage. Devstral Medium is the stronger overall choice, though Nova Pro 1.0 may excel in specific areas like certain benchmarks.
Devstral Medium is ranked #201 and Nova Pro 1.0 is ranked #227 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.
Devstral Medium is cheaper at $2.00/M output tokens vs Nova Pro 1.0's $3.20/M output tokens - 1.6x more expensive. Input token pricing: Devstral Medium at $0.40/M vs Nova Pro 1.0 at $0.80/M.
Nova Pro 1.0 has a larger context window of 300,000 tokens compared to Devstral Medium's 131,072 tokens. A larger context window means the model can process longer documents and conversations.