moonshotai/Kimi-K2.5 vs minimax-m3
Side-by-side comparison of moonshotai/Kimi-K2.5 and minimax-m3: 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
MiniMax50% off
minimax-m3
Input / 1M
$0.60$0.30
Output / 1M
$2.40$1.20
Context
1M
Model ID
minimaxi/minimax-m3
Benchmark comparison
Intelligence Indexreasoning
moonshotai/Kimi-K2.5N/A
minimax-m318.9%
GPQA Diamondreasoning
moonshotai/Kimi-K2.5N/A
minimax-m392.9%
Terminal-Bench Hardagentic
moonshotai/Kimi-K2.5N/A
minimax-m342.4%
τ²-Benchagentic
moonshotai/Kimi-K2.5N/A
minimax-m388.9%
SciCodecoding
moonshotai/Kimi-K2.5N/A
minimax-m345.4%
Humanity's Last Examreasoning
moonshotai/Kimi-K2.5N/A
minimax-m337.1%
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 | minimax-m3 | |
|---|---|---|
| Input price / 1M | $0.45 | $0.60$0.30 |
| Output price / 1M | $2.25 | $2.40$1.20 |
| Context window | 262K tokens | 1M tokens |
| Max output | 131K 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 | DeepInfra | MiniMax |
Questions people ask
Is moonshotai/Kimi-K2.5 better than minimax-m3?
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 minimax-m3?
minimax-m3 is cheaper. moonshotai/Kimi-K2.5 costs $0.45/$2.25 per 1M input/output tokens, while minimax-m3 costs $0.30/$1.20. The prices shown are what you pay: minimax-m3 runs at 50% off its list rate of $0.60 per 1M input and $2.40 per 1M output.
Can I use moonshotai/Kimi-K2.5 and minimax-m3 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 "minimaxi/minimax-m3", no other code changes needed.
What are the context windows?
moonshotai/Kimi-K2.5 supports up to 262K tokens of context. minimax-m3 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 minimax-m3 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.