| Signal | Kimi K2.5 | Delta | Qwen3.5 Plus 2026-02-15 |
|---|---|---|---|
Capabilities | 83 | -- | |
Pricing | 2 | +1 | |
Context window size | 86 | -9 | |
Recency | 100 | -- | |
Output Capacity | 80 | -- | |
| Overall Result | 1 wins | of 5 | 1 wins |
9
days ranked higher
3
days
18
days ranked higher
Moonshot AI
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $51.00/month
That's $612.00/year compared to Kimi K2.5 at your current usage level of 100K calls/month.
| Metric | Kimi K2.5 | Qwen3.5 Plus 2026-02-15 | Winner |
|---|---|---|---|
| Overall Score | 85 | 85 | -- |
| Rank | #31 | #30 | Qwen3.5 Plus 2026-02-15 |
| Quality Rank | #31 | #30 | Qwen3.5 Plus 2026-02-15 |
| Adoption Rank | #31 | #30 | Qwen3.5 Plus 2026-02-15 |
| Parameters | -- | -- | -- |
| Context Window | 262K | 1000K | Qwen3.5 Plus 2026-02-15 |
| Pricing | $0.45/$2.20/M | $0.26/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Kimi K2.5 |
| Pricing | 2 | 2 | Kimi K2.5 |
| Context window size | 86 | 95 | Qwen3.5 Plus 2026-02-15 |
| Recency | 100 | 100 | Kimi K2.5 |
| Output Capacity | 80 | 80 | Kimi K2.5 |
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 85/100 (rank #31), placing it in the top 90% of all 290 models tracked.
Scores 85/100 (rank #30), placing it in the top 90% 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.
Qwen3.5 Plus 2026-02-15 offers 31% better value per quality point. At 1M tokens/day, you'd spend $27.30/month with Qwen3.5 Plus 2026-02-15 vs $39.75/month with Kimi K2.5 - a $12.45 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. Qwen3.5 Plus 2026-02-15 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.56/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (85/100) 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 K2.5 and Qwen3.5 Plus 2026-02-15 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
Kimi K2.5
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5 Plus 2026-02-15
31% lower pricing; better value at scale
Best for Reliability
Kimi K2.5
Higher uptime and faster response speeds
Best for Prototyping
Kimi K2.5
Stronger community support and better developer experience
Best for Production
Kimi K2.5
Wider enterprise adoption and proven at scale
by Moonshot AI
| Capability | Kimi K2.5 | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Moonshot AI
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $1.11/month
That's 32% cheaper than Kimi K2.5 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 K2.5 | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Context Window | 262K | 1M |
| Max Output Tokens | 65,535 | 65,536 |
| Open Source | Yes | No |
| Created | Jan 27, 2026 | Feb 16, 2026 |
Both Kimi K2.5 and Qwen3.5 Plus 2026-02-15 score 85/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Kimi K2.5 is ranked #31 and Qwen3.5 Plus 2026-02-15 is ranked #30 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.
Qwen3.5 Plus 2026-02-15 is cheaper at $1.56/M output tokens vs Kimi K2.5's $2.20/M output tokens - 1.4x more expensive. Input token pricing: Kimi K2.5 at $0.45/M vs Qwen3.5 Plus 2026-02-15 at $0.26/M.
Qwen3.5 Plus 2026-02-15 has a larger context window of 1,000,000 tokens compared to Kimi K2.5's 262,144 tokens. A larger context window means the model can process longer documents and conversations.