| Signal | Claude Sonnet 4.6 | Delta | Kimi K2.5 |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 82 | +25 | |
Pricing | 85 | -13 | |
Context window size | 95 | +9 | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
85.2
current score
Claude Sonnet 4.6
right now
59.1
current score
Anthropic
Moonshot AI
Kimi K2.5 saves you $906.00/month
That's $10872.00/year compared to Claude Sonnet 4.6 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4.6 | Kimi K2.5 | Winner |
|---|---|---|---|
| Overall Score | 85 | 59 | Claude Sonnet 4.6 |
| Rank | #25 | #153 | Claude Sonnet 4.6 |
| Quality Rank | #25 | #153 | Claude Sonnet 4.6 |
| Adoption Rank | #25 | #153 | Claude Sonnet 4.6 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 262K | Claude Sonnet 4.6 |
| Pricing | $3.00/$15.00/M | $0.44/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Claude Sonnet 4.6 |
| Benchmarks | 82 | 57 | Claude Sonnet 4.6 |
| Pricing | 85 | 98 | Kimi K2.5 |
| Context window size | 95 | 86 | Claude Sonnet 4.6 |
| Recency | 100 | 100 | Claude Sonnet 4.6 |
| Output Capacity | 85 | 80 | Claude Sonnet 4.6 |
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 85/100 (rank #25), placing it in the top 92% of all 290 models tracked.
Scores 59/100 (rank #153), placing it in the top 48% of all 290 models tracked.
Claude Sonnet 4.6 has a 26-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Kimi K2.5 offers 86% better value per quality point. At 1M tokens/day, you'd spend $36.60/month with Kimi K2.5 vs $270.00/month with Claude Sonnet 4.6 - a $233.40 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. Kimi K2.5 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 ($2.00/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
Claude Sonnet 4.6 clearly outperforms Kimi K2.5 with a significant 26.1-point lead. For most general use cases, Claude Sonnet 4.6 is the stronger choice. However, Kimi K2.5 may still excel in niche scenarios.
Best for Quality
Claude Sonnet 4.6
Marginally better benchmark scores; both are excellent
Best for Cost
Kimi K2.5
86% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4.6
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4.6
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4.6
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4.6 | Kimi K2.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Moonshot AI
Kimi K2.5 saves you $20.21/month
That's 86% cheaper than Claude Sonnet 4.6 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 | Claude Sonnet 4.6 | Kimi K2.5 |
|---|---|---|
| Context Window | 1M | 262K |
| Max Output Tokens | 128,000 | 65,535 |
| Open Source | No | Yes |
| Created | Feb 17, 2026 | Jan 27, 2026 |
The 14-point score gap (66 vs 52) represents a significant quality difference in coding tasks, placing Claude Sonnet 4.6 in the top 2% of models (#6 of 326) while Kimi K2.5 sits in the top 21% (#67). For production systems where code correctness matters more than cost, paying $15/M output tokens versus $1.72/M becomes justifiable, especially considering Claude's 3.8x larger context window (1M vs 262K tokens) enables handling entire codebases in a single prompt.
At $0.38/M input tokens (vs Claude's $3/M), Kimi K2.5 offers 7.8x cheaper processing for large codebases while maintaining competitive capabilities like Vision and Function Calling. The open-source nature allows on-premise deployment for sensitive code, and its 262K context window still exceeds most practical needs while delivering 66K max output tokens - sufficient for generating complete modules or documentation.
Web Search enables Claude to access current API documentation and Stack Overflow solutions during code generation, partially explaining its superior 66/100 score versus Kimi's 52/100. This capability, combined with the 128K max output tokens (nearly 2x Kimi's 66K), makes Claude particularly valuable for tasks requiring up-to-date framework knowledge or generating extensive codebases at $15/M output tokens.
Claude's 1M token context allows analyzing entire monorepos (approximately 25,000 lines of code) versus Kimi's 262K tokens (roughly 6,500 lines), making it essential for large-scale refactoring or cross-module analysis. However, this advantage costs 8.7x more per output token ($15 vs $1.72), so teams working with microservices or smaller codebases might find Kimi K2.5's context sufficient.
Claude Sonnet 4.6's closed-source architecture achieves rank #6 with a 66/100 score but requires API dependency at $3/M input tokens, while open-source Kimi K2.5 enables self-hosting with 52/100 performance at $0.38/M input. The 14-point score gap suggests Claude uses more compute-intensive techniques, reflected in its 8.7x higher output pricing, though both models share identical modalities (text+image->text) and core capabilities minus Web Search.