| Signal | Llama 4 Maverick | Delta | MiniMax M2.7 |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 80 | +13 | |
Pricing | 1 | -1 | |
Context window size | 96 | +11 | |
Recency | 67 | -33 | |
Output Capacity | 70 | -15 | |
| Overall Result | 2 wins | of 6 | 3 wins |
30
days higher
0
days
0
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Meta
MiniMax
Llama 4 Maverick saves you $45.00/month
That's $540.00/year compared to MiniMax M2.7 at your current usage level of 100K calls/month.
| Metric | Llama 4 Maverick | MiniMax M2.7 | Winner |
|---|---|---|---|
| Overall Score | 80 | 68 | Llama 4 Maverick |
| Rank | #26 | #70 | Llama 4 Maverick |
| Quality Rank | #26 | #70 | Llama 4 Maverick |
| Adoption Rank | #26 | #70 | Llama 4 Maverick |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 205K | Llama 4 Maverick |
| Pricing | $0.15/$0.60/M | $0.30/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Llama 4 Maverick |
| Benchmarks | 80 | 67 | Llama 4 Maverick |
| Pricing | 1 | 1 | MiniMax M2.7 |
| Context window size | 96 | 84 | Llama 4 Maverick |
| Recency | 67 | 100 | MiniMax M2.7 |
| Output Capacity | 70 | 85 | MiniMax M2.7 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 80/100 (rank #26), placing it in the top 91% of all 290 models tracked.
Scores 68/100 (rank #70), placing it in the top 76% of all 290 models tracked.
Llama 4 Maverick has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Maverick offers 50% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Llama 4 Maverick vs $22.50/month with MiniMax M2.7 - a $11.25 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Llama 4 Maverick also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (80/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Llama 4 Maverick clearly outperforms MiniMax M2.7 with a significant 11.900000000000006-point lead. For most general use cases, Llama 4 Maverick is the stronger choice. However, MiniMax M2.7 may still excel in niche scenarios.
Best for Quality
Llama 4 Maverick
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Maverick
50% lower pricing; better value at scale
Best for Reliability
Llama 4 Maverick
Higher uptime and faster response speeds
Best for Prototyping
Llama 4 Maverick
Stronger community support and better developer experience
Best for Production
Llama 4 Maverick
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 4 Maverick | MiniMax M2.7 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
MiniMax
Llama 4 Maverick saves you $0.9900/month
That's 50% cheaper than MiniMax M2.7 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Llama 4 Maverick | MiniMax M2.7 |
|---|---|---|
| Context Window | 1.0M | 205K |
| Max Output Tokens | 16,384 | 131,072 |
| Open Source | Yes | Yes |
| Created | Apr 5, 2025 | Mar 18, 2026 |
Llama 4 Maverick scores 80/100 (rank #26) compared to MiniMax M2.7's 68/100 (rank #70), giving it a 12-point advantage. Llama 4 Maverick is the stronger overall choice, though MiniMax M2.7 may excel in specific areas like certain benchmarks.
Llama 4 Maverick is ranked #26 and MiniMax M2.7 is ranked #70 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Llama 4 Maverick is cheaper at $0.60/M output tokens vs MiniMax M2.7's $1.20/M output tokens - 2.0x more expensive. Input token pricing: Llama 4 Maverick at $0.15/M vs MiniMax M2.7 at $0.30/M.
Llama 4 Maverick has a larger context window of 1,048,576 tokens compared to MiniMax M2.7's 204,800 tokens. A larger context window means the model can process longer documents and conversations.