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GLM 4.7 Flash vs Kimi K2.7 Code

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 K2.7 Code.

Zhipu AI

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,...

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Moonshot AI

Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

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Technical Specifications

SpecificationGLM 4.7 FlashKimi K2.7 Code
ProviderZhipu AIMoonshot AI
Context Window202,752 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-192026-06-12

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7 Flash

$0.06

Kimi K2.7 Code

$0.74

Output Price per Million Tokens

GLM 4.7 Flash

$0.40

Kimi K2.7 Code

$3.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7720.0%vs8500.0%
GLM 4.7 Flash
Kimi K2.7 Code
HumanEvalPython coding & logic synthesis
7850.0%vs9320.0%
GLM 4.7 Flash
Kimi K2.7 Code
MATHComplex mathematical problem solving
4000.0%vs7650.0%
GLM 4.7 Flash
Kimi K2.7 Code
GPQAGraduate-level expert reasoning
3100.0%vs4600.0%
GLM 4.7 Flash
Kimi K2.7 Code
HellaSwagCommonsense reasoning and inference
8000.0%vs8600.0%
GLM 4.7 Flash
Kimi K2.7 Code
MT-BenchMulti-turn conversation flow quality
810.0%vs900.0%
GLM 4.7 Flash
Kimi K2.7 Code

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

Kimi K2.7 Code Quirks & Gotchas

No developer gotchas reported.