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moonshotai/Kimi-K2.5 vs gpt-6-astra

Side-by-side comparison of moonshotai/Kimi-K2.5 and gpt-6-astra: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Benchmark comparison

Intelligence Indexreasoning
moonshotai/Kimi-K2.5N/A
gpt-6-astra56.9%

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-K2.5gpt-6-astra
Input price / 1M$0.45$10.00
Output price / 1M$2.25$50.00
Context window262K tokens1.1M tokens
Max output131K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AYes
ProviderDeepInfraOpenAI

Questions people ask

Is moonshotai/Kimi-K2.5 better than gpt-6-astra?
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 gpt-6-astra?
moonshotai/Kimi-K2.5 is cheaper. moonshotai/Kimi-K2.5 costs $0.45/$2.25 per 1M input/output tokens, while gpt-6-astra costs $10.00/$50.00.
Can I use moonshotai/Kimi-K2.5 and gpt-6-astra 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 "openai/gpt-6-astra", no other code changes needed.
What are the context windows?
moonshotai/Kimi-K2.5 supports up to 262K tokens of context. gpt-6-astra supports up to 1.1M 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 gpt-6-astra with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.