Kimi K2.7 Code vs GLM 5.2
| Signal | Kimi K2.7 Code | Delta | GLM 5.2 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Pricing | 97 | +3 | |
Context window size | 86 | -9 | |
Recency | 100 | -- | |
Output Capacity | 86 | -10 | |
Benchmarks | 0 | -69 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
40
current score
GLM 5.2
right now
68.9
current score
Kimi K2.7 Code
Moonshot AI
GLM 5.2
Zhipu AI
Kimi K2.7 Code saves you $105.60/month
That's $1267.20/year compared to GLM 5.2 at your current usage level of 100K calls/month.
| Metric | Kimi K2.7 Code | GLM 5.2 | Winner |
|---|---|---|---|
| Overall Score | 40 | 69 | GLM 5.2 |
| Rank | #301 | #133 | GLM 5.2 |
| Quality Rank | #301 | #133 | GLM 5.2 |
| Adoption Rank | #301 | #133 | GLM 5.2 |
| Parameters | -- | -- | -- |
| Context Window | 262K | 1049K | GLM 5.2 |
| Pricing | $0.60/$3.50/M | $0.01/$6.80/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Kimi K2.7 Code |
| Pricing | 97 | 93 | Kimi K2.7 Code |
| Context window size | 86 | 96 | GLM 5.2 |
| Recency | 100 | 100 | Kimi K2.7 Code |
| Output Capacity | 86 | 96 | GLM 5.2 |
| Benchmarks | -- | 69 | GLM 5.2 |
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 40/100 (rank #301), placing it in the top -3% of all 290 models tracked.
Scores 69/100 (rank #133), placing it in the top 54% of all 290 models tracked.
GLM 5.2 has a 29-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Kimi K2.7 Code when you need:
- High-volume production workloads where API costs must be minimized
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Choose GLM 5.2 when you need:
- Processing long documents or large codebases (1049K token context)
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
GLM 5.2 offers 40% better value per quality point. At 1M tokens/day, you'd spend $61.50/month with Kimi K2.7 Code vs $102.09/month with GLM 5.2 - a $40.59 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 K2.7 Code also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($3.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) 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
GLM 5.2 clearly outperforms Kimi K2.7 Code with a significant 28.900000000000006-point lead. For most general use cases, GLM 5.2 is the stronger choice. However, Kimi K2.7 Code may still excel in niche scenarios.
By Use Case
Best for Quality
Kimi K2.7 Code
Marginally better benchmark scores; both are excellent
Best for Cost
Kimi K2.7 Code
40% lower pricing; better value at scale
Best for Reliability
Kimi K2.7 Code
Higher uptime and faster response speeds
Best for Prototyping
Kimi K2.7 Code
Stronger community support and better developer experience
Best for Production
Kimi K2.7 Code
Wider enterprise adoption and proven at scale
by Moonshot AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 40% 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 K2.7 Code | GLM 5.2 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Kimi K2.7 Code
Moonshot AI
GLM 5.2
Zhipu AI
Kimi K2.7 Code saves you $2.89/month
That's 35% cheaper than GLM 5.2 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 K2.7 Code | GLM 5.2 |
|---|---|---|
| Context Window | 262K | 1.0M |
| Max Output Tokens | 235,929 | 943,718 |
| Open Source | Yes | Yes |
| Created | Jun 12, 2026 | Jun 16, 2026 |