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Moonshotai Kimi K2 5 vs Openai Gpt 4o Mini
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
Moonshotai Kimi K2 5
Context window
262K
262,144 tokens · ~197K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Moonshotai Kimi K2 5 has about 2× the context window of the other in this pair.
Moonshotai Kimi K2 5 has 104% more context capacity (262K vs 128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Moonshotai Kimi K2 5. Its 262K context fits entire documents without chunking (vs 128K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Moonshotai Kimi K2 5 | Openai Gpt 4o Mini |
|---|---|---|
| Context window | 262,144 tokens (262K) | 128,000 tokens (128K) |
| Max output tokens | 262,144 tokens (262K) | N/A |
| Speed tier | Balanced | Fast |
| Vision | Yes | No |
| Function calling | Yes | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | Yes |
| Release date | N/A | N/A |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Moonshotai Kimi K2 5 in | Moonshotai Kimi K2 5 out | Openai Gpt 4o Mini in | Openai Gpt 4o Mini out |
|---|---|---|---|---|
| Aws Bedrock | $0.720/M | $3.60/M | — | — |
| Gradient | — | — | — | — |
Frequently asked questions
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