kimi-k2.6 vs deepseek-v4-flash-0731
Side-by-side comparison of kimi-k2.6 and deepseek-v4-flash-0731: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
kimi-k2.6
Input / 1M
$0.95
Output / 1M
$4.00
Context
262K
Model ID
moonshot/kimi-k2.6
deepseek-v4-flash-0731
Input / 1M
$0.14
Output / 1M
$0.28
Context
1.0M
Model ID
novita/deepseek/deepseek-v4-flash-0731
Pricing & specifications
| kimi-k2.6 | deepseek-v4-flash-0731 | |
|---|---|---|
| Input price / 1M | $0.95 | $0.14 |
| Output price / 1M | $4.00 | $0.28 |
| Context window | 262K tokens | 1.0M tokens |
| Max output | 262K tokens | 393K tokens |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Moonshot AI | Novita AI |
Questions people ask
Is kimi-k2.6 better than deepseek-v4-flash-0731?
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, kimi-k2.6 or deepseek-v4-flash-0731?
deepseek-v4-flash-0731 is cheaper. kimi-k2.6 costs $0.95/$4.00 per 1M input/output tokens, while deepseek-v4-flash-0731 costs $0.14/$0.28.
Can I use kimi-k2.6 and deepseek-v4-flash-0731 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-k2.6" and "novita/deepseek/deepseek-v4-flash-0731", no other code changes needed.
What are the context windows?
kimi-k2.6 supports up to 262K tokens of context. deepseek-v4-flash-0731 supports up to 1.0M 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-k2.6 and deepseek-v4-flash-0731 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.