GLM 4.7 Flash vs Kimi K2.6
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 4.7 Flash and Kimi K2.6.
GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
Kimi K2.6
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
Technical Specifications
| Specification | GLM 4.7 Flash | Kimi K2.6 |
|---|---|---|
| Provider | Zhipu AI | Moonshot AI |
| Context Window | 202,752 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-01-19 | 2026-04-20 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.7 Flash
$0.06
Kimi K2.6
$0.66
Output Price per Million Tokens
GLM 4.7 Flash
$0.40
Kimi K2.6
$3.41
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GLM 4.7 Flash Quirks & Gotchas
No developer gotchas reported.
Kimi K2.6 Quirks & Gotchas
No developer gotchas reported.