| Signal | Claude 3.5 Haiku | Delta | Kimi K2.5 |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 63 | +6 | |
Pricing | 96 | -2 | |
Context window size | 76 | -2 | |
Recency | 29 | -71 | |
Output Capacity | 65 | -25 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
57.8
current score
Kimi K2.5
right now
58.6
current score
Anthropic
Moonshot AI
Kimi K2.5 saves you $145.00/month
That's $1740.00/year compared to Claude 3.5 Haiku at your current usage level of 100K calls/month.
| Metric | Claude 3.5 Haiku | Kimi K2.5 | Winner |
|---|---|---|---|
| Overall Score | 58 | 59 | Kimi K2.5 |
| Rank | #153 | #151 | Kimi K2.5 |
| Quality Rank | #153 | #151 | Kimi K2.5 |
| Adoption Rank | #153 | #151 | Kimi K2.5 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 262K | Kimi K2.5 |
| Pricing | $0.80/$4.00/M | $0.40/$1.90/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Kimi K2.5 |
| Benchmarks | 63 | 57 | Claude 3.5 Haiku |
| Pricing | 96 | 98 | Kimi K2.5 |
| Context window size | 76 | 77 | Kimi K2.5 |
| Recency | 29 | 100 | Kimi K2.5 |
| Output Capacity | 65 | 90 | Kimi K2.5 |
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 58/100 (rank #153), placing it in the top 48% of all 290 models tracked.
Scores 59/100 (rank #151), placing it in the top 48% of all 290 models tracked.
With only a 1-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.
Kimi K2.5 offers 52% better value per quality point. At 1M tokens/day, you'd spend $34.50/month with Kimi K2.5 vs $72.00/month with Claude 3.5 Haiku - a $37.50 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 (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.90/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (59/100) 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 3.5 Haiku and Kimi K2.5 are extremely close in overall performance (only 0.8000000000000043 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude 3.5 Haiku
Marginally better benchmark scores; both are excellent
Best for Cost
Kimi K2.5
52% lower pricing; better value at scale
Best for Reliability
Claude 3.5 Haiku
Higher uptime and faster response speeds
Best for Prototyping
Claude 3.5 Haiku
Stronger community support and better developer experience
Best for Production
Claude 3.5 Haiku
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Moonshot AI
Kimi K2.5 saves you $3.24/month
That's 52% cheaper than Claude 3.5 Haiku 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 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| Context Window | 200K | 262K |
| Max Output Tokens | 8,192 | 262,144 |
| Open Source | No | Yes |
| Created | Nov 4, 2024 | Jan 27, 2026 |