AI model comparison
LFM2.5-2.6B vs GPT-4o-mini
Side by side comparison of LFM2.5-2.6B and GPT-4o-mini on pricing, benchmark scores, context window, and more.
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing.
- Input / 1M
- $0.35
- Output / 1M
- $0.50
- Context
- 128K
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 128K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-4o-mini
1.6x cheaper for a typical chat
Higher intelligence score
LFM2.5-2.6B
8.4 vs 6.7 on Artificial Analysis
Larger context window
Tie
128K vs 128K tokens
Newer release
LFM2.5-2.6B
Released August 11, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
LFM2.5-2.6B8.4GPT-4o-mini6.7Coding index
LFM2.5-2.6B7.7GPT-4o-mini11.4Agentic index
LFM2.5-2.6BNot availableGPT-4o-miniNot availablePricing
LFM2.5-2.6B vs GPT-4o-mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | LFM2.5-2.6B | GPT-4o-mini |
|---|---|---|
| Input tokensPer 1M tokens | $0.35 | $0.15 |
| Output tokensPer 1M tokens | $0.50 | $0.60 |
| Cached input (read)Per 1M tokens | $0.04 | $0.08 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
LFM2.5-2.6B$0.95GPT-4o-mini$0.60Coding task
30K in, 4K out
LFM2.5-2.6B$12.50$3.20 cachedGPT-4o-mini$6.90$4.65 cachedLong document summary
150K in, 2K out
LFM2.5-2.6B$53.50$7 cachedGPT-4o-mini$23.70$12.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | LFM2.5-2.6B | GPT-4o-mini |
|---|---|---|
| Context window | 128K tokens | 128K tokens |
| Max output | 8K tokens | 16K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | August 11, 2026 | July 18, 2024 |
Features
Supported features
API features available for each model.
| Metric | LFM2.5-2.6B | GPT-4o-mini |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
GPT-4o-miniView full model details- GPT-4o-mini vs gpt-oss-120b
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- GPT-4o-mini vs Llama 3.3 70B Instruct
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- GPT-4o-mini vs Llama 3.1 70B Instruct
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- GPT-4o-mini vs Nova Lite 1.0
- GPT-4o-mini vs Llama 3.2 3B Instruct
- GPT-4o-mini vs Solar Pro 3
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- GPT-4o-mini vs Nova Pro 1.0
- GPT-4o-mini vs Qwen2.5 Coder 32B Instruct
- GPT-4o-mini vs Saba
- GPT-4o-mini vs Reka Flash 3
Our take
GPT-4o-mini is 1.6x cheaper for a typical chat. LFM2.5-2.6B scores higher on the Artificial Analysis Intelligence Index (8.4 vs 6.7). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is LFM2.5-2.6B or GPT-4o-mini cheaper?
GPT-4o-mini is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-4o-mini costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while LFM2.5-2.6B costs $0.35 per 1M input tokens and $0.50 per 1M output tokens.
Which has a bigger context window, LFM2.5-2.6B or GPT-4o-mini?
LFM2.5-2.6B supports up to 128K tokens of context, compared with 128K for GPT-4o-mini.
Is LFM2.5-2.6B smarter than GPT-4o-mini?
On the Artificial Analysis Intelligence Index, LFM2.5-2.6B scores 8.4 and GPT-4o-mini scores 6.7, putting LFM2.5-2.6B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use LFM2.5-2.6B and GPT-4o-mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see LFM2.5-2.6B and GPT-4o-mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to LFM2.5-2.6B and GPT-4o-mini at the same time. Compare the answers side by side and keep the best one.