| Signal | Hunyuan A13B Instruct | Delta | Devstral Small 1.1 |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 1 | +0 | |
Context window size | 81 | -- | |
Recency | 84 | 0 | |
Output Capacity | 85 | +65 | |
| Overall Result | 2 wins | of 5 | 1 wins |
6
days higher
7
days
17
days higher
Tencent
Mistral AI
Devstral Small 1.1 saves you $17.50/month
That's $210.00/year compared to Hunyuan A13B Instruct at your current usage level of 100K calls/month.
| Metric | Hunyuan A13B Instruct | Devstral Small 1.1 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #229 | #227 | Devstral Small 1.1 |
| Quality Rank | #229 | #227 | Devstral Small 1.1 |
| Adoption Rank | #229 | #227 | Devstral Small 1.1 |
| Parameters | 13B | -- | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.14/$0.57/M | $0.10/$0.30/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Hunyuan A13B Instruct |
| Pricing | 1 | 0 | Hunyuan A13B Instruct |
| Context window size | 81 | 81 | Hunyuan A13B Instruct |
| Recency | 84 | 84 | Devstral Small 1.1 |
| Output Capacity | 85 | 20 | Hunyuan A13B Instruct |
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 #229), placing it in the top 21% of all 290 models tracked.
Scores 40/100 (rank #227), placing it in the top 22% 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 Small 1.1 offers 44% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Devstral Small 1.1 vs $10.65/month with Hunyuan A13B Instruct - a $4.65 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 Small 1.1 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 ($0.30/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
Hunyuan A13B Instruct and Devstral Small 1.1 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
Hunyuan A13B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Devstral Small 1.1
44% lower pricing; better value at scale
Best for Reliability
Hunyuan A13B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Hunyuan A13B Instruct
Stronger community support and better developer experience
Best for Production
Hunyuan A13B Instruct
Wider enterprise adoption and proven at scale
by Tencent
| Capability | Hunyuan A13B Instruct | Devstral Small 1.1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Tencent
Mistral AI
Devstral Small 1.1 saves you $0.3960/month
That's 42% cheaper than Hunyuan A13B Instruct 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 | Hunyuan A13B Instruct | Devstral Small 1.1 |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | 131,072 | -- |
| Open Source | Yes | Yes |
| Created | Jul 8, 2025 | Jul 10, 2025 |
Both Hunyuan A13B Instruct and Devstral Small 1.1 score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Hunyuan A13B Instruct is ranked #229 and Devstral Small 1.1 is ranked #227 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 Small 1.1 is cheaper at $0.30/M output tokens vs Hunyuan A13B Instruct's $0.57/M output tokens - 1.9x more expensive. Input token pricing: Hunyuan A13B Instruct at $0.14/M vs Devstral Small 1.1 at $0.10/M.
Hunyuan A13B Instruct has a larger context window of 131,072 tokens compared to Devstral Small 1.1's 131,072 tokens. A larger context window means the model can process longer documents and conversations.