kimi-k2.5 vs gpt-5.2
Side-by-side comparison of kimi-k2.5 and gpt-5.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.2 outperforms kimi-k2.5 on 4 of 5 shared benchmarks.
kimi-k2.5
Input / 1M
$0.60
Output / 1M
$3.00
Context
262K
Model ID
moonshot/kimi-k2.5
gpt-5.2
Input / 1M
$1.75
Output / 1M
$14.00
Context
400K
Model ID
openai/gpt-5.2
Benchmark comparison
Intelligence Indexreasoning
kimi-k2.527.6%
gpt-5.235.0%
Coding Indexcoding
kimi-k2.546.8%
gpt-5.2N/A
Math Indexmath
kimi-k2.5N/A
gpt-5.299.0%
GPQA Diamondreasoning
kimi-k2.587.9%
gpt-5.290.3%
AIME 2025math
kimi-k2.5N/A
gpt-5.299.0%
LiveCodeBenchcoding
kimi-k2.5N/A
gpt-5.288.9%
Terminal-Bench Hardagentic
kimi-k2.534.8%
gpt-5.247.0%
τ²-Benchagentic
kimi-k2.595.9%
gpt-5.284.8%
MMLU Proknowledge
kimi-k2.5N/A
gpt-5.287.4%
Humanity's Last Examreasoning
kimi-k2.530.7%
gpt-5.237.7%
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-k2.5 | gpt-5.2 | |
|---|---|---|
| Input price / 1M | $0.60 | $1.75 |
| Output price / 1M | $3.00 | $14.00 |
| Context window | 262K tokens | 400K 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 | Moonshot AI | OpenAI Inc. |
Questions people ask
Is kimi-k2.5 better than gpt-5.2?
gpt-5.2 outperforms kimi-k2.5 on 4 of 5 shared benchmarks. See the benchmark comparison above for specifics: kimi-k2.5 and gpt-5.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, kimi-k2.5 or gpt-5.2?
kimi-k2.5 is cheaper. kimi-k2.5 costs $0.60/$3.00 per 1M input/output tokens, while gpt-5.2 costs $1.75/$14.00.
Can I use kimi-k2.5 and gpt-5.2 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "moonshot/kimi-k2.5" and "openai/gpt-5.2", no other code changes needed.
What are the context windows?
kimi-k2.5 supports up to 262K tokens of context. gpt-5.2 supports up to 400K 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-k2.5 and gpt-5.2 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.