| Signal | Kimi K2.5 | Delta | MiMo-V2-Omni |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 57 | +57 | |
Pricing | 98 | -- | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 80 | -- | |
| Overall Result | 1 wins | of 6 | 0 wins |
Score History
59.1
current score
Kimi K2.5
right now
40
current score
Moonshot AI
Xiaomi
MiMo-V2-Omni saves you $4.00/month
That's $48.00/year compared to Kimi K2.5 at your current usage level of 100K calls/month.
| Metric | Kimi K2.5 | MiMo-V2-Omni | Winner |
|---|---|---|---|
| Overall Score | 59 | 40 | Kimi K2.5 |
| Rank | #153 | #211 | Kimi K2.5 |
| Quality Rank | #153 | #211 | Kimi K2.5 |
| Adoption Rank | #153 | #211 | Kimi K2.5 |
| Parameters | -- | -- | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.44/$2.00/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Kimi K2.5 |
| Benchmarks | 57 | -- | Kimi K2.5 |
| Pricing | 98 | 98 | Kimi K2.5 |
| Context window size | 86 | 86 | Kimi K2.5 |
| Recency | 100 | 100 | Kimi K2.5 |
| Output Capacity | 80 | 80 | 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 59/100 (rank #153), placing it in the top 48% of all 290 models tracked.
Scores 40/100 (rank #211), placing it in the top 28% of all 290 models tracked.
Kimi K2.5 has a 19-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 ($2.00/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
Kimi K2.5 clearly outperforms MiMo-V2-Omni with a significant 19.1-point lead. For most general use cases, Kimi K2.5 is the stronger choice. However, MiMo-V2-Omni may still excel in niche scenarios.
Best for Quality
Kimi K2.5
Marginally better benchmark scores; both are excellent
Best for Cost
MiMo-V2-Omni
2% 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 | MiMo-V2-Omni |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Moonshot AI
Xiaomi
MiMo-V2-Omni saves you $0.0720/month
That's 2% 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 | MiMo-V2-Omni |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | 65,535 | 65,536 |
| Open Source | Yes | No |
| Created | Jan 27, 2026 | Mar 18, 2026 |