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Llama 4 Maverick vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 17.5% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Mistral NeMo Instruct. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
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Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
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Mistral AI
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
8 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Llama 4 Maverick
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Maverick
Input:$0.17
Output:$0.60
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15($0.47 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Llama 4 Maverick
Average Score:85.5%(+17.5%)
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Mistral NeMo Instruct
Average Score:68.0%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Maverick
7 providers
DeepInfra
Throughput: 83.59 tok/s
Latency: 0.38ms
Fireworks
Throughput: 63.03 tok/s
Latency: 0.62ms
Groq
Throughput: 307.3 tok/s
Latency: 0.27ms
Lambda
Throughput: 93.69 tok/s
Latency: 0.65ms
Novita
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Llama 4 Maverick
Avg Score:85.5%(+17.5%)
Providers:7
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Mistral NeMo Instruct
Avg Score:68.0%
Providers:2