comparison
Llama 4 Maverick vs Gemini 2.5 Flash-Lite
Token pricing, context window and real monthly cost, side by side. Gemini 2.5 Flash-Lite is the cheaper of the two for a typical workload — about 2.0× less.
Positioned by published specs — size, context and modality — not measured performance; a smaller model can sometimes outperform a larger one on your task.
Llama 4 Maverick (Flagship) is two classes above Gemini 2.5 Flash-Lite (Mini) — different use-case territory. Weigh the saving against how hard your task is; treat them as alternatives, not equals.
| metric | Llama 4 Maverick | Gemini 2.5 Flash-Lite |
|---|---|---|
| Input / 1M | $0.20 | $0.10 |
| Output / 1M | $0.80 | $0.40 |
| Context | 1.0M | 1.0M |
| Technical class | Flagship | Mini |
| Cost @ typical workload | $140/mo | $70.00/mo |
| Modality | text + image | text + image + audio + video |
| Price source | routed | list |
| Provider | Meta |
Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →
Which should you pick?
On a typical workload, Gemini 2.5 Flash-Lite costs $70.00/mo against Llama 4 Maverick's $140/mo — roughly 2.0× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. Both share the same context window, so that's not a deciding factor here. By technical class (size and context, not measured capability), Llama 4 Maverick is a Flagship and Gemini 2.5 Flash-Lite a Mini — so the lower price partly reflects a smaller class, not just a discount.
These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures. The technical-class read above is likewise spec-based — size, context and modality, not measured performance — so a smaller model can still outperform a larger one on your specific task.
Frequently asked questions
Is Llama 4 Maverick or Gemini 2.5 Flash-Lite cheaper?
For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Gemini 2.5 Flash-Lite costs $70.00/mo versus $140/mo for Llama 4 Maverick — about 2.0× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.
What's the main difference between Llama 4 Maverick and Gemini 2.5 Flash-Lite?
On price, Llama 4 Maverick is $0.20/$0.80 per 1M (in/out) and Gemini 2.5 Flash-Lite is $0.10/$0.40. By technical class (size & context) it's Flagship (Llama 4 Maverick) versus Mini (Gemini 2.5 Flash-Lite). Both carry the same context window.
Is Gemini 2.5 Flash-Lite in the same class as Llama 4 Maverick?
No. By size & context, Gemini 2.5 Flash-Lite is a Mini and Llama 4 Maverick is a Flagship — 2 classes apart, so they're not drop-in substitutes. This is a spec comparison (size, context, modality), not a measured-performance one; a smaller model can still win on a task it's suited to.
More comparisons
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- Llama 4 Maverick vs gpt-oss-120b
- Gemini 3.1 Pro vs Gemini 2.5 Flash-Lite
- Gemini 2.5 Pro vs Gemini 2.5 Flash-Lite
Related
- Llama 4 Maverick and Gemini 2.5 Flash-Lite — full specs and price history.
- API cost calculator — compare on your own workload.
- All comparisons — the full head-to-head index.