| Signal | Devstral 2 2512 | Delta | Qwen VL Max |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 2 | 0 | |
Context window size | 86 | +5 | |
Recency | 100 | +44 | |
Output Capacity | 20 | -55 | |
| Overall Result | 2 wins | of 5 | 3 wins |
10
days higher
5
days
15
days higher
Mistral AI
Alibaba
Devstral 2 2512 saves you $16.00/month
That's $192.00/year compared to Qwen VL Max at your current usage level of 100K calls/month.
| Metric | Devstral 2 2512 | Qwen VL Max | Winner |
|---|---|---|---|
| Overall Score | 68 | 68 | -- |
| Rank | #178 | #179 | Devstral 2 2512 |
| Quality Rank | #178 | #179 | Devstral 2 2512 |
| Adoption Rank | #178 | #179 | Devstral 2 2512 |
| Parameters | -- | -- | -- |
| Context Window | 262K | 131K | Devstral 2 2512 |
| Pricing | $0.40/$2.00/M | $0.52/$2.08/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Qwen VL Max |
| Pricing | 2 | 2 | Qwen VL Max |
| Context window size | 86 | 81 | Devstral 2 2512 |
| Recency | 100 | 56 | Devstral 2 2512 |
| Output Capacity | 20 | 75 | Qwen VL Max |
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 68/100 (rank #178), placing it in the top 39% of all 290 models tracked.
Scores 68/100 (rank #179), placing it in the top 39% 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.
Devstral 2 2512 offers 8% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Devstral 2 2512 vs $39.00/month with Qwen VL Max - a $3.00 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 2 2512 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 ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (68/100) 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 2 2512 and Qwen VL Max 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.
Best for Quality
Devstral 2 2512
Marginally better benchmark scores; both are excellent
Best for Cost
Devstral 2 2512
8% lower pricing; better value at scale
Best for Reliability
Devstral 2 2512
Higher uptime and faster response speeds
Best for Prototyping
Devstral 2 2512
Stronger community support and better developer experience
Best for Production
Devstral 2 2512
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Devstral 2 2512 | Qwen VL Max |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Alibaba
Devstral 2 2512 saves you $0.3120/month
That's 9% cheaper than Qwen VL Max 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 2 2512 | Qwen VL Max |
|---|---|---|
| Context Window | 262K | 131K |
| Max Output Tokens | -- | 32,768 |
| Open Source | Yes | No |
| Created | Dec 9, 2025 | Feb 1, 2025 |
Both Devstral 2 2512 and Qwen VL Max score 68/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Devstral 2 2512 is ranked #178 and Qwen VL Max is ranked #179 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 2 2512 is cheaper at $2.00/M output tokens vs Qwen VL Max's $2.08/M output tokens - 1.0x more expensive. Input token pricing: Devstral 2 2512 at $0.40/M vs Qwen VL Max at $0.52/M.
Devstral 2 2512 has a larger context window of 262,144 tokens compared to Qwen VL Max's 131,072 tokens. A larger context window means the model can process longer documents and conversations.