| Signal | Devstral Medium | Delta | R1 Distill Llama 70B |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 43 | +3 | |
Pricing | 98 | -1 | |
Context window size | 81 | -- | |
Recency | 78 | +31 | |
Output Capacity | 20 | -50 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
45.3
current score
Devstral Medium
right now
42.4
current score
Mistral AI
DeepSeek
R1 Distill Llama 70B saves you $30.00/month
That's $360.00/year compared to Devstral Medium at your current usage level of 100K calls/month.
| Metric | Devstral Medium | R1 Distill Llama 70B | Winner |
|---|---|---|---|
| Overall Score | 45 | 42 | Devstral Medium |
| Rank | #178 | #180 | Devstral Medium |
| Quality Rank | #178 | #180 | Devstral Medium |
| Adoption Rank | #178 | #180 | Devstral Medium |
| Parameters | -- | 70B | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.40/$2.00/M | $0.70/$0.80/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Devstral Medium |
| Benchmarks | 43 | 40 | Devstral Medium |
| Pricing | 98 | 99 | R1 Distill Llama 70B |
| Context window size | 81 | 81 | Devstral Medium |
| Recency | 78 | 47 | Devstral Medium |
| Output Capacity | 20 | 70 | R1 Distill Llama 70B |
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 45/100 (rank #178), placing it in the top 39% of all 290 models tracked.
Scores 42/100 (rank #180), placing it in the top 38% of all 290 models tracked.
With only a 3-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.
R1 Distill Llama 70B offers 38% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with R1 Distill Llama 70B vs $36.00/month with Devstral Medium - a $13.50 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 Llama 70B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.80/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (45/100) correlates with better nuance, coherence, and style in long-form content
Devstral Medium and R1 Distill Llama 70B are extremely close in overall performance (only 2.8999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Devstral Medium
Marginally better benchmark scores; both are excellent
Best for Cost
R1 Distill Llama 70B
38% 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 | R1 Distill Llama 70B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
DeepSeek
R1 Distill Llama 70B saves you $0.9000/month
That's 29% cheaper than Devstral Medium 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 | R1 Distill Llama 70B |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | -- | 16,384 |
| Open Source | No | Yes |
| Created | Jul 10, 2025 | Jan 23, 2025 |