| Signal | Llama 4 Maverick | Delta | Mistral Large 3 2512 |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 70 | +1 | |
Pricing | 99 | +1 | |
Context window size | 96 | +10 | |
Recency | 66 | -34 | |
Output Capacity | 70 | +50 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
67.9
current score
Llama 4 Maverick
right now
67.8
current score
Meta
Mistral AI
Llama 4 Maverick saves you $80.00/month
That's $960.00/year compared to Mistral Large 3 2512 at your current usage level of 100K calls/month.
| Metric | Llama 4 Maverick | Mistral Large 3 2512 | Winner |
|---|---|---|---|
| Overall Score | 68 | 68 | Llama 4 Maverick |
| Rank | #89 | #90 | Llama 4 Maverick |
| Quality Rank | #89 | #90 | Llama 4 Maverick |
| Adoption Rank | #89 | #90 | Llama 4 Maverick |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 262K | Llama 4 Maverick |
| Pricing | $0.15/$0.60/M | $0.50/$1.50/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Llama 4 Maverick |
| Benchmarks | 70 | 69 | Llama 4 Maverick |
| Pricing | 99 | 99 | Llama 4 Maverick |
| Context window size | 96 | 86 | Llama 4 Maverick |
| Recency | 66 | 100 | Mistral Large 3 2512 |
| Output Capacity | 70 | 20 | Llama 4 Maverick |
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%). Learn more about our methodology.
Scores 68/100 (rank #89), placing it in the top 70% of all 290 models tracked.
Scores 68/100 (rank #90), placing it in the top 69% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Llama 4 Maverick offers 63% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Llama 4 Maverick vs $30.00/month with Mistral Large 3 2512 - a $18.75 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 (68/100) 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 and Mistral Large 3 2512 are extremely close in overall performance (only 0.10000000000000853 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 4 Maverick
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Maverick
63% 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 | Mistral Large 3 2512 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Mistral AI
Llama 4 Maverick saves you $1.71/month
That's 63% cheaper than Mistral Large 3 2512 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 | Mistral Large 3 2512 |
|---|---|---|
| Context Window | 1.0M | 262K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | No |
| Created | Apr 5, 2025 | Dec 1, 2025 |
Llama 4 Maverick scores 68/100 (rank #89) compared to Mistral Large 3 2512's 68/100 (rank #90), giving it a 0-point advantage. Llama 4 Maverick is the stronger overall choice, though Mistral Large 3 2512 may excel in specific areas like certain benchmarks.
Llama 4 Maverick is ranked #89 and Mistral Large 3 2512 is ranked #90 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 Mistral Large 3 2512's $1.50/M output tokens - 2.5x more expensive. Input token pricing: Llama 4 Maverick at $0.15/M vs Mistral Large 3 2512 at $0.50/M.
Llama 4 Maverick has a larger context window of 1,048,576 tokens compared to Mistral Large 3 2512's 262,144 tokens. A larger context window means the model can process longer documents and conversations.