comparison
MiniMax M2.5 vs Llama 4 Maverick
Token pricing, context window and real monthly cost, side by side. MiniMax M2.5 is the cheaper of the two for a typical workload (near-identical cost).
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 is one class larger (Flagship vs Mid). Lean to the cheaper MiniMax M2.5 unless your task is demanding enough to need the larger class.
| metric | MiniMax M2.5 | Llama 4 Maverick |
|---|---|---|
| Input / 1M | $0.15 | $0.20 |
| Output / 1M | $0.90 | $0.80 |
| Context | 205K | 1.0M |
| Technical class | Mid | Flagship |
| Cost @ typical workload | $135/mo | $140/mo |
| Modality | Text only | text + image |
| Price source | routed | routed |
| Provider | MiniMax | Meta |
Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →
Which should you pick?
On a typical workload, MiniMax M2.5 costs $135/mo against Llama 4 Maverick's $140/mo, essentially the same. 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. If you need to fit more in a single prompt, Llama 4 Maverick has the larger 1.0M-token window (~1,573 pages). Only Llama 4 Maverick accepts image input — decisive if your prompts include images. By technical class (size and context, not measured capability), Llama 4 Maverick is a Flagship and MiniMax M2.5 a Mid — 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 MiniMax M2.5 or Llama 4 Maverick cheaper?
For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), MiniMax M2.5 costs $135/mo versus $140/mo for Llama 4 Maverick. 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 MiniMax M2.5 and Llama 4 Maverick?
On price, MiniMax M2.5 is $0.15/$0.90 per 1M (in/out) and Llama 4 Maverick is $0.20/$0.80. By technical class (size & context) it's Flagship (Llama 4 Maverick) versus Mid (MiniMax M2.5). Llama 4 Maverick has the larger context window at 1.0M tokens. Only Llama 4 Maverick accepts image input.
Which handles longer prompts, MiniMax M2.5 or Llama 4 Maverick?
Llama 4 Maverick — its 1.0M-token context window (~1,573 pages of text) is the larger of the two, by roughly 5×.
More comparisons
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- GPT-5.4 nano vs MiniMax M2.5
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- Gemini 2.5 Flash vs Llama 4 Maverick
- Gemini 2.5 Flash vs MiniMax M2.5
Related
- MiniMax M2.5 and Llama 4 Maverick — full specs and price history.
- API cost calculator — compare on your own workload.
- All comparisons — the full head-to-head index.