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Ft:gpt 3 5 vs LFM2.5-1.2B-Thinking (free)
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.
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.
LFM2.5-1.2B-Thinking (free) has about 2× the context window of the other in this pair.
LFM2.5-1.2B-Thinking (free) has 99% more context capacity (32K vs 16K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use LFM2.5-1.2B-Thinking (free). Its 32K context fits entire documents without chunking (vs 16K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Ft:gpt 3 5 | LFM2.5-1.2B-Thinking (free) |
|---|---|---|
| Context window | 16,385 tokens (16K) | 32,768 tokens (32K) |
| Max output tokens | 4,096 tokens (4K) | N/A |
| Speed tier | Balanced | Deep |
| Vision | No | No |
| Function calling | No | No |
| Extended thinking | No | Yes |
| Prompt caching | No | No |
| Batch API | Yes | No |
| Release date | N/A | Jan 2026 |
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 | Ft:gpt 3 5 in | Ft:gpt 3 5 out | LFM2.5-1.2B-Thinking (free) in | LFM2.5-1.2B-Thinking (free) out |
|---|---|---|---|---|
| Openai | $3.00/M | $6.00/M | — | — |
Frequently asked questions
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