moonshotai/Kimi-K2.5 vs deepseek-v4-pro-0813
Side-by-side comparison of moonshotai/Kimi-K2.5 and deepseek-v4-pro-0813: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
moonshotai/Kimi-K2.5
Input / 1M
$0.45
Output / 1M
$2.25
Context
262K
Model ID
deepinfra/moonshotai/Kimi-K2.5
deepseek-v4-pro-0813
Input / 1M
$1.32
Output / 1M
$3.96
Context
1M
Model ID
deepseek/deepseek-v4-pro-0813
Benchmark comparison
Intelligence Indexreasoning
moonshotai/Kimi-K2.5N/A
deepseek-v4-pro-081323.1%
GPQA Diamondreasoning
moonshotai/Kimi-K2.5N/A
deepseek-v4-pro-081388.8%
Terminal-Bench Hardagentic
moonshotai/Kimi-K2.5N/A
deepseek-v4-pro-081346.2%
τ²-Benchagentic
moonshotai/Kimi-K2.5N/A
deepseek-v4-pro-081396.2%
SciCodecoding
moonshotai/Kimi-K2.5N/A
deepseek-v4-pro-081350.0%
Humanity's Last Examreasoning
moonshotai/Kimi-K2.5N/A
deepseek-v4-pro-081335.9%
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
| moonshotai/Kimi-K2.5 | deepseek-v4-pro-0813 | |
|---|---|---|
| Input price / 1M | $0.45 | $1.32 |
| Output price / 1M | $2.25 | $3.96 |
| Context window | 262K tokens | 1M tokens |
| Max output | 131K tokens | 384K tokens |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | DeepInfra | DeepSeek |
Questions people ask
Is moonshotai/Kimi-K2.5 better than deepseek-v4-pro-0813?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, moonshotai/Kimi-K2.5 or deepseek-v4-pro-0813?
moonshotai/Kimi-K2.5 is cheaper. moonshotai/Kimi-K2.5 costs $0.45/$2.25 per 1M input/output tokens, while deepseek-v4-pro-0813 costs $1.32/$3.96.
Can I use moonshotai/Kimi-K2.5 and deepseek-v4-pro-0813 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "deepinfra/moonshotai/Kimi-K2.5" and "deepseek/deepseek-v4-pro-0813", no other code changes needed.
What are the context windows?
moonshotai/Kimi-K2.5 supports up to 262K tokens of context. deepseek-v4-pro-0813 supports up to 1M 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 moonshotai/Kimi-K2.5 and deepseek-v4-pro-0813 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.