LFM2.5-1.2B-Thinking (free) is free for input tokens while Qwen3 Max Thinking costs $0.78 per 1M tokens.
API cost decision in 10 seconds
Qwen3 Max Thinking vs LFM2.5-1.2B-Thinking (free)
Pick LFM2.5-1.2B-Thinking (free) for lower cost; pick Qwen3 Max Thinking only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick LFM2.5-1.2B-Thinking (free) for lower cost; pick Qwen3 Max Thinking only if the larger context window matters more.
On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $2.73 for Qwen3 Max Thinking, saving $2.73 (100% lower).
Cost-first pickLFM2.5-1.2B-Thinking (free)
Context-first pickQwen3 Max Thinking
Sample savings$2.73100%
10x traffic gap$27.3
Qwen3 Max Thinking has more context, but LFM2.5-1.2B-Thinking (free) saves $2.73 on the standard workload. At 10x that traffic, the same price gap is about $27.3. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
LFM2.5-1.2B-Thinking (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 Max Thinking | LFM2.5-1.2B-Thinking (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2.5-1.2B-Thinking (free) | $5.85 | $0 |
| Balanced workload | 1M input + 1M output | LFM2.5-1.2B-Thinking (free) | $4.68 | $0 |
| Output-heavy chatbot | 1M input + 5M output | LFM2.5-1.2B-Thinking (free) | $20.28 | $0 |
LFM2.5-1.2B-Thinking (free) is free for output tokens while Qwen3 Max Thinking costs $3.9 per 1M tokens.
Qwen3 Max Thinking has 229.38K more context (8x larger).
LFM2.5-1.2B-Thinking (free) is free for the standard workload while the other model is estimated at $2.73.
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
LFM2.5-1.2B-Thinking (free) has the lower input price; LFM2.5-1.2B-Thinking (free) has the lower output price; Qwen3 Max Thinking offers the larger context window. For the 1M input plus 500K output sample, LFM2.5-1.2B-Thinking (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.73 for Qwen3 Max Thinking and $0 for LFM2.5-1.2B-Thinking (free).
Choose Qwen3 Max Thinking when you care most about larger context window.
Choose LFM2.5-1.2B-Thinking (free) when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $2.73 for Qwen3 Max Thinking, saving $2.73 (100% lower).
- LFM2.5-1.2B-Thinking (free) is free for the standard workload while the other model is estimated at $2.73.
- LFM2.5-1.2B-Thinking (free) is free for input tokens while Qwen3 Max Thinking costs $0.78 per 1M tokens.
- LFM2.5-1.2B-Thinking (free) is free for output tokens while Qwen3 Max Thinking costs $3.9 per 1M tokens.
- Qwen3 Max Thinking has 229.38K more context (8x larger).
| Feature | Qwen3 Max Thinking (Qwen) | LFM2.5-1.2B-Thinking (free) (LiquidAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.78 | $0 |
| Completion Price per 1M tokens | $3.9 | $0 |
| Sample Workload Cost 1M input + 500K output | $2.73 | $0 |
| Context Window | 262.14K | 32.77K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | LFM2.5-1.2B-Thinking (free) | On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $2.73 for Qwen3 Max Thinking, saving $2.73 (100% lower). |
| High-volume input processing | LFM2.5-1.2B-Thinking (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | LFM2.5-1.2B-Thinking (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3 Max Thinking | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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