Kimi K3 vs Qwen3.5 397B A17B
| Signal | Kimi K3 | Delta | Qwen3.5 397B A17B |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 78 | -2 | |
Pricing | 85 | -13 | |
Context window size | 96 | +10 | |
Recency | 100 | -- | |
Output Capacity | 20 | -60 | |
| Overall Result | 1 wins | of 6 | 3 wins |
Score History
79.4
current score
Tied
right now
79.4
current score
Kimi K3
Moonshot AI
Qwen3.5 397B A17B
Alibaba
Qwen3.5 397B A17B saves you $894.00/month
That's $10728.00/year compared to Kimi K3 at your current usage level of 100K calls/month.
| Metric | Kimi K3 | Qwen3.5 397B A17B | Winner |
|---|---|---|---|
| Overall Score | 79 | 79 | -- |
| Rank | #59 | #60 | Kimi K3 |
| Quality Rank | #59 | #60 | Kimi K3 |
| Adoption Rank | #59 | #60 | Kimi K3 |
| Parameters | -- | 397B | -- |
| Context Window | 1049K | 262K | Kimi K3 |
| Pricing | $3.00/$15.00/M | $0.39/$2.34/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Kimi K3 |
| Benchmarks | 78 | 80 | Qwen3.5 397B A17B |
| Pricing | 85 | 98 | Qwen3.5 397B A17B |
| Context window size | 96 | 86 | Kimi K3 |
| Recency | 100 | 100 | Kimi K3 |
| Output Capacity | 20 | 80 | Qwen3.5 397B A17B |
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 79/100 (rank #59), placing it in the top 80% of all 290 models tracked.
Scores 79/100 (rank #60), placing it in the top 80% 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.
Choose Kimi K3 when you need:
- Processing long documents or large codebases (1049K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3.5 397B A17B when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Qwen3.5 397B A17B offers 85% better value per quality point. At 1M tokens/day, you'd spend $40.95/month with Qwen3.5 397B A17B vs $270.00/month with Kimi K3 - a $229.05 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
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. Qwen3.5 397B A17B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.34/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Kimi K3 and Qwen3.5 397B A17B 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.
By Use Case
Best for Quality
Kimi K3
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5 397B A17B
85% lower pricing; better value at scale
Best for Reliability
Kimi K3
Higher uptime and faster response speeds
Best for Prototyping
Kimi K3
Stronger community support and better developer experience
Best for Production
Kimi K3
Wider enterprise adoption and proven at scale
by Moonshot AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Kimi K3 | Qwen3.5 397B A17B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Kimi K3
Moonshot AI
Qwen3.5 397B A17B
Alibaba
Qwen3.5 397B A17B saves you $19.89/month
That's 85% cheaper than Kimi K3 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 K3 | Qwen3.5 397B A17B |
|---|---|---|
| Context Window | 1.0M | 262K |
| Max Output Tokens | -- | 65,536 |
| Open Source | No | Yes |
| Created | Jul 16, 2026 | Feb 16, 2026 |