| Signal | Devstral 2 2512 | Delta | R1 Distill Qwen 32B |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 43 | +8 | |
Pricing | 98 | -2 | |
Context window size | 86 | +14 | |
Recency | 100 | +52 | |
Output Capacity | 20 | -55 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
45.5
current score
Devstral 2 2512
right now
37.3
current score
Mistral AI
DeepSeek
R1 Distill Qwen 32B saves you $96.50/month
That's $1158.00/year compared to Devstral 2 2512 at your current usage level of 100K calls/month.
| Metric | Devstral 2 2512 | R1 Distill Qwen 32B | Winner |
|---|---|---|---|
| Overall Score | 46 | 37 | Devstral 2 2512 |
| Rank | #177 | #324 | Devstral 2 2512 |
| Quality Rank | #177 | #324 | Devstral 2 2512 |
| Adoption Rank | #177 | #324 | Devstral 2 2512 |
| Parameters | -- | 32B | -- |
| Context Window | 262K | 33K | Devstral 2 2512 |
| Pricing | $0.40/$2.00/M | $0.29/$0.29/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Devstral 2 2512 |
| Benchmarks | 43 | 35 | Devstral 2 2512 |
| Pricing | 98 | 100 | R1 Distill Qwen 32B |
| Context window size | 86 | 72 | Devstral 2 2512 |
| Recency | 100 | 48 | Devstral 2 2512 |
| Output Capacity | 20 | 75 | R1 Distill Qwen 32B |
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 46/100 (rank #177), placing it in the top 39% of all 290 models tracked.
Scores 37/100 (rank #324), placing it in the top -11% of all 290 models tracked.
Devstral 2 2512 has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
R1 Distill Qwen 32B offers 76% better value per quality point. At 1M tokens/day, you'd spend $8.70/month with R1 Distill Qwen 32B vs $36.00/month with Devstral 2 2512 - a $27.30 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. R1 Distill Qwen 32B 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 ($0.29/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (46/100) correlates with better nuance, coherence, and style in long-form content
Devstral 2 2512 has a moderate advantage with a 8.200000000000003-point lead in composite score. It wins on more signal dimensions, but R1 Distill Qwen 32B has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Devstral 2 2512
Marginally better benchmark scores; both are excellent
Best for Cost
R1 Distill Qwen 32B
76% 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 | R1 Distill Qwen 32B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
DeepSeek
R1 Distill Qwen 32B saves you $2.25/month
That's 72% cheaper than Devstral 2 2512 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 | R1 Distill Qwen 32B |
|---|---|---|
| Context Window | 262K | 33K |
| Max Output Tokens | -- | 32,768 |
| Open Source | Yes | Yes |
| Created | Dec 9, 2025 | Jan 29, 2025 |