Mistral Large 3 vs Llama 4 Maverick
Comprehensive comparison between Mistral AI's Mistral Large 3 and Meta's Llama 4 Maverick. Compare pricing, performance, features, and user reviews.
mistral vs llamamistral large vs llama 4open source llm
Mistral Large 3
Mistral AIMistral's most capable open-source model. 41B active / 675B total parameters (MoE). Apache 2.0 license. 262K context. Strong multilingual and coding capabilities. European AI alternative.
$0.5/$1.5per M tokens
Details Llama 4 Maverick
MetaMeta's flagship open-source multimodal model. 17B active parameters with 400B total (128 expert MoE). 1M context window, natively multimodal with early fusion. Extremely cost-effective at $0.15/$0.60 per M tokens. Supports 12 languages.
$0.15/$0.6per M tokens
Details Specs Comparison
| Specification | Mistral Large 3 | Llama 4 Maverick |
|---|---|---|
| Context Window | 262K | 1049K |
| Max Output | 33K | 16K |
| Input (per 1M tokens) | $0.50 | $0.15 |
| Output (per 1M tokens) | $1.50 | $0.60 |
| Reasoning | ||
| Open Source |
Scenario Score Comparison
Mistral Large 3
Pros
- + Apache 2.0 open source
- + Excellent price ($0.5/$1.5)
- + 262K context window
- + Strong multilingual support
- + Enterprise-friendly licensing
Cons
- − Behind Claude/GPT on coding benchmarks
- − Smaller ecosystem than US models
- − Less community support
Llama 4 Maverick
Pros
- + Extremely affordable ($0.15/$0.60)
- + 1M context window
- + Native multimodal (text + image)
- + Open source (Llama 4 Community License)
- + High throughput MoE architecture
Cons
- − Coding performance below Claude/GPT
- − Benchmark gaming controversy
- − 16K max output limit
- − Knowledge cutoff August 2024
Recommendation
Choose Mistral Large 3 if you:
- • Need apache 2.0 open source
- • Need excellent price ($0.5/$1.5)
- • Need 262k context window
Choose Llama 4 Maverick if you:
- • Need extremely affordable ($0.15/$0.60)
- • Need 1m context window
- • Need native multimodal (text + image)
Based on scores across 0 scenarios, both models perform equally well.
Get Started with Mistral Large 3
1Visit the provider's website
2Create an account
3Start using the model
Get Started with Llama 4 Maverick
2Or self-host (open source)
💡 Open source - can be self-hosted or used via API providers.
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