Kimi K2 0905 vs Kimi K2 Thinking
| Signal | Kimi K2 0905 | Delta | Kimi K2 Thinking |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 51 | -- | |
Pricing | 98 | -- | |
Context window size | 86 | -- | |
Recency | 73 | -11 | |
Output Capacity | 83 | -- | |
| Overall Result | 0 wins | of 6 | 2 wins |
Score History
52.4
current score
Kimi K2 Thinking
right now
53.3
current score
Kimi K2 0905
Moonshot AI
Kimi K2 Thinking
Moonshot AI
| Metric | Kimi K2 0905 | Kimi K2 Thinking | Winner |
|---|---|---|---|
| Overall Score | 52 | 53 | Kimi K2 Thinking |
| Rank | #170 | #169 | Kimi K2 Thinking |
| Quality Rank | #170 | #169 | Kimi K2 Thinking |
| Adoption Rank | #170 | #169 | Kimi K2 Thinking |
| Parameters | -- | -- | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.60/$2.50/M | $0.60/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Kimi K2 Thinking |
| Benchmarks | 51 | 51 | Kimi K2 0905 |
| Pricing | 98 | 98 | Kimi K2 0905 |
| Context window size | 86 | 86 | Kimi K2 0905 |
| Recency | 73 | 85 | Kimi K2 Thinking |
| Output Capacity | 83 | 83 | Kimi K2 0905 |
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 52/100 (rank #170), placing it in the top 42% of all 290 models tracked.
Scores 53/100 (rank #169), placing it in the top 42% 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.
Choose Kimi K2 0905 when you need:
- Self-hosted deployments where you need full control over the model
Choose Kimi K2 Thinking when you need:
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
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 0905 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 ($2.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (53/100) correlates with better nuance, coherence, and style in long-form content
Kimi K2 0905 and Kimi K2 Thinking are extremely close in overall performance (only 0.8999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
Kimi K2 0905
Marginally better benchmark scores; both are excellent
Best for Cost
Kimi K2 0905
0% lower pricing; better value at scale
Best for Reliability
Kimi K2 0905
Higher uptime and faster response speeds
Best for Prototyping
Kimi K2 0905
Stronger community support and better developer experience
Best for Production
Kimi K2 0905
Wider enterprise adoption and proven at scale
by Moonshot AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 0% lower pricing; better value at scale
- 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 K2 0905 | Kimi K2 Thinking |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Kimi K2 0905
Moonshot AI
Kimi K2 Thinking
Moonshot AI
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Kimi K2 0905 | Kimi K2 Thinking |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | 100,352 | 100,352 |
| Open Source | Yes | Yes |
| Created | Sep 4, 2025 | Nov 6, 2025 |