| Signal | Kimi K2 0711 | Delta | Qwen3 Coder 30B A3B Instruct |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 2 | +2 | |
Context window size | 81 | -1 | |
Recency | 85 | -4 | |
Output Capacity | 85 | +10 | |
| Overall Result | 2 wins | of 5 | 2 wins |
9
days higher
6
days
15
days higher
Moonshot AI
Alibaba
Qwen3 Coder 30B A3B Instruct saves you $151.50/month
That's $1818.00/year compared to Kimi K2 0711 at your current usage level of 100K calls/month.
| Metric | Kimi K2 0711 | Qwen3 Coder 30B A3B Instruct | Winner |
|---|---|---|---|
| Overall Score | 72 | 72 | Kimi K2 0711 |
| Rank | #145 | #146 | Kimi K2 0711 |
| Quality Rank | #145 | #146 | Kimi K2 0711 |
| Adoption Rank | #145 | #146 | Kimi K2 0711 |
| Parameters | -- | 30B | -- |
| Context Window | 131K | 160K | Qwen3 Coder 30B A3B Instruct |
| Pricing | $0.57/$2.30/M | $0.07/$0.27/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Kimi K2 0711 |
| Pricing | 2 | 0 | Kimi K2 0711 |
| Context window size | 81 | 83 | Qwen3 Coder 30B A3B Instruct |
| Recency | 85 | 89 | Qwen3 Coder 30B A3B Instruct |
| Output Capacity | 85 | 75 | Kimi K2 0711 |
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 72/100 (rank #145), placing it in the top 50% of all 290 models tracked.
Scores 72/100 (rank #146), placing it in the top 50% 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.
Qwen3 Coder 30B A3B Instruct offers 88% better value per quality point. At 1M tokens/day, you'd spend $5.10/month with Qwen3 Coder 30B A3B Instruct vs $43.05/month with Kimi K2 0711 - a $37.95 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. Qwen3 Coder 30B A3B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (160K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.27/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (72/100) correlates with better nuance, coherence, and style in long-form content
Kimi K2 0711 and Qwen3 Coder 30B A3B Instruct are extremely close in overall performance (only 0.19999999999998863 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Kimi K2 0711
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 Coder 30B A3B Instruct
88% lower pricing; better value at scale
Best for Reliability
Kimi K2 0711
Higher uptime and faster response speeds
Best for Prototyping
Kimi K2 0711
Stronger community support and better developer experience
Best for Production
Kimi K2 0711
Wider enterprise adoption and proven at scale
by Moonshot AI
| Capability | Kimi K2 0711 | Qwen3 Coder 30B A3B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Moonshot AI
Alibaba
Qwen3 Coder 30B A3B Instruct saves you $3.34/month
That's 88% 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 | Kimi K2 0711 | Qwen3 Coder 30B A3B Instruct |
|---|---|---|
| Context Window | 131K | 160K |
| Max Output Tokens | 131,072 | 32,768 |
| Open Source | Yes | Yes |
| Created | Jul 11, 2025 | Jul 31, 2025 |
Kimi K2 0711 scores 72/100 (rank #145) compared to Qwen3 Coder 30B A3B Instruct's 72/100 (rank #146), giving it a 0-point advantage. Kimi K2 0711 is the stronger overall choice, though Qwen3 Coder 30B A3B Instruct may excel in specific areas like cost efficiency.
Kimi K2 0711 is ranked #145 and Qwen3 Coder 30B A3B Instruct is ranked #146 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.
Qwen3 Coder 30B A3B Instruct is cheaper at $0.27/M output tokens vs Kimi K2 0711's $2.30/M output tokens - 8.5x more expensive. Input token pricing: Kimi K2 0711 at $0.57/M vs Qwen3 Coder 30B A3B Instruct at $0.07/M.
Qwen3 Coder 30B A3B Instruct has a larger context window of 160,000 tokens compared to Kimi K2 0711's 131,072 tokens. A larger context window means the model can process longer documents and conversations.