| Signal | Devstral Medium | Delta | Kimi K2 0711 |
|---|---|---|---|
Capabilities | 50 | +17 | |
Pricing | 2 | 0 | |
Context window size | 81 | -- | |
Recency | 84 | 0 | |
Output Capacity | 20 | -65 | |
| Overall Result | 1 wins | of 5 | 3 wins |
10
days higher
4
days
16
days higher
Mistral AI
Moonshot AI
Devstral Medium saves you $32.00/month
That's $384.00/year compared to Kimi K2 0711 at your current usage level of 100K calls/month.
| Metric | Devstral Medium | Kimi K2 0711 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #226 | #225 | Kimi K2 0711 |
| Quality Rank | #226 | #225 | Kimi K2 0711 |
| Adoption Rank | #226 | #225 | Kimi K2 0711 |
| Parameters | -- | -- | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.40/$2.00/M | $0.57/$2.30/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Devstral Medium |
| Pricing | 2 | 2 | Kimi K2 0711 |
| Context window size | 81 | 81 | Devstral Medium |
| Recency | 84 | 85 | Kimi K2 0711 |
| Output Capacity | 20 | 85 | Kimi K2 0711 |
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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #226), placing it in the top 22% of all 290 models tracked.
Scores 40/100 (rank #225), placing it in the top 23% 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 Medium offers 16% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Devstral Medium vs $43.05/month with Kimi K2 0711 - a $7.05 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 (131K 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 (40/100) correlates with better nuance, coherence, and style in long-form content
Devstral Medium and Kimi K2 0711 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 Medium
Marginally better benchmark scores; both are excellent
Best for Cost
Devstral Medium
16% 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 | Kimi K2 0711 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Moonshot AI
Devstral Medium saves you $0.6660/month
That's 18% cheaper than Kimi K2 0711 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 | Kimi K2 0711 |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | -- | 131,072 |
| Open Source | No | Yes |
| Created | Jul 10, 2025 | Jul 11, 2025 |
Both Devstral Medium and Kimi K2 0711 score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Devstral Medium is ranked #226 and Kimi K2 0711 is ranked #225 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Devstral Medium is cheaper at $2.00/M output tokens vs Kimi K2 0711's $2.30/M output tokens - 1.1x more expensive. Input token pricing: Devstral Medium at $0.40/M vs Kimi K2 0711 at $0.57/M.
Devstral Medium has a larger context window of 131,072 tokens compared to Kimi K2 0711's 131,072 tokens. A larger context window means the model can process longer documents and conversations.