kimi-k2 vs GLM-5.1
Side-by-side comparison of kimi-k2 and GLM-5.1: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. GLM-5.1 outperforms kimi-k2 on 7 of 7 shared benchmarks.
kimi-k2
Input / 1M
$0.60
Output / 1M
$2.50
Context
262K
Model ID
vertex/kimi-k2
GLM-5.1
Input / 1M
$1.40
Output / 1M
$4.40
Context
200K
Model ID
zai/GLM-5.1
Benchmark comparison
Intelligence Indexreasoning
kimi-k240.9%
GLM-5.151.4%
Coding Indexcoding
kimi-k234.8%
GLM-5.143.4%
Math Indexmath
kimi-k294.7%
GLM-5.1N/A
GPQA Diamondreasoning
kimi-k283.8%
GLM-5.186.8%
AIME 2025math
kimi-k294.7%
GLM-5.1N/A
LiveCodeBenchcoding
kimi-k285.3%
GLM-5.1N/A
Terminal-Bench Hardagentic
kimi-k231.1%
GLM-5.143.2%
τ²-Benchagentic
kimi-k293.0%
GLM-5.197.7%
SciCodecoding
kimi-k242.4%
GLM-5.143.8%
MMLU Proknowledge
kimi-k284.8%
GLM-5.1N/A
Humanity's Last Examreasoning
kimi-k222.3%
GLM-5.128.0%
Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.
Pricing & specifications
| kimi-k2 | GLM-5.1 | |
|---|---|---|
| Input price / 1M | $0.60 | $1.40 |
| Output price / 1M | $2.50 | $4.40 |
| Context window | 262K tokens | 200K tokens |
| Max output | 262K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Google LLC (Vertex AI) | Z.ai |
Questions people ask
Is kimi-k2 better than GLM-5.1?
GLM-5.1 outperforms kimi-k2 on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: kimi-k2 and GLM-5.1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, kimi-k2 or GLM-5.1?
kimi-k2 is cheaper. kimi-k2 costs $0.60/$2.50 per 1M input/output tokens, while GLM-5.1 costs $1.40/$4.40.
Can I use kimi-k2 and GLM-5.1 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "vertex/kimi-k2" and "zai/GLM-5.1", no other code changes needed.
What are the context windows?
kimi-k2 supports up to 262K tokens of context. GLM-5.1 supports up to 200K tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between kimi-k2 and GLM-5.1 with one line of code
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