Compare
GPT-3.5 Turbo (older v0613) vs KAT-Coder-Air V2.5
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
GPT-3.5 Turbo (older v0613)
Context window
4K
4,095 tokens · ~3K words
Model
KAT-Coder-Air V2.5
Context window
256K
256,000 tokens · ~192K 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.
KAT-Coder-Air V2.5 has about 62.5× the context window of the other in this pair.
KAT-Coder-Air V2.5 has 6151% more context capacity (256K vs 4K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use KAT-Coder-Air V2.5. Its 256K context fits entire documents without chunking (vs 4K).
Long output (reports, code files)
Use KAT-Coder-Air V2.5. Its 80K max output lets you generate complete artifacts in one request.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | GPT-3.5 Turbo (older v0613) | KAT-Coder-Air V2.5 |
|---|---|---|
| Context window | 4,095 tokens (4K) | 256,000 tokens (256K) |
| Max output tokens | 4,096 tokens (4K) | 80,000 tokens (80K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | No |
| Prompt caching | No | Yes |
| Batch API | Yes | No |
| Release date | Jan 2024 | Jul 2026 |
Frequently asked questions
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Example: a multi-turn chat session
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