Llama 4 Maverick vs MiniMax M2
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Llama 4 Maverick
Meta · Apr 2025
Meta's natively multimodal 400B MoE — the largest openly downloadable US-made model, served cheaply across many hosts.
MiniMax M2
68.9MiniMax · Oct 2025
A 10B-active MoE tuned purely for agents and code — striking capability-per-active-parameter at rock-bottom prices.
The verdict
MiniMax M2 wins 2 of the 2 benchmarks these models share, against 0 for Llama 4 Maverick. Llama 4 Maverick is about 1.3x cheaper per blended million tokens (3:1 input:output mix). Llama 4 Maverick also takes 1M of context versus 205K for MiniMax M2.
Benchmark head-to-head 0–2
Specs & pricing
| Llama 4 Maverick | MiniMax M2 | |
|---|---|---|
| modhub Index | — | 68.9 |
| Input price / 1M | $0.27 | $0.3 |
| Output price / 1M | $0.85 | $1.2 |
| Context window | 1M | 205K |
| Max output | — | — |
| Open weights | yes (Llama 4 Community License) | yes (MIT) |
| Reasoning model | no | yes |
| Multimodal input | text, image | text |
| Knowledge cutoff | Aug 2024 | Jun 2025 |
| Released | Apr 2025 | Oct 2025 |
| Example monthly cost* | $3.98 | $4.80 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, Llama 4 Maverick or MiniMax M2?
- MiniMax M2 wins 2 of the 2 benchmarks these models share, against 0 for Llama 4 Maverick. Llama 4 Maverick is about 1.3x cheaper per blended million tokens (3:1 input:output mix). Llama 4 Maverick also takes 1M of context versus 205K for MiniMax M2.
- Which is cheaper, Llama 4 Maverick or MiniMax M2?
- Llama 4 Maverick costs $0.27/$0.85 per million input/output tokens, while MiniMax M2 costs $0.3/$1.2. For a typical workload of 10M input and 1.5M output tokens per month, that's $3.98 versus $4.80.
- Which model is better for coding, Llama 4 Maverick or MiniMax M2?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.