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Llama 3.3 70B Instruct vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 3.2% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Llama 3.3 70B Instruct. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
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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.
4 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
Llama 4 Maverick
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.3 70B Instruct
Input:$0.20
Output:$0.20($0.37 cheaper)
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Llama 4 Maverick
Input:$0.17
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 3.3 70B Instruct
Average Score:74.7%
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Llama 4 Maverick
Average Score:77.9%(+3.2%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.3 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2220 tok/s
Latency: 0.65ms
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
Fireworks
Throughput: 197 tok/s
Latency: 0.65ms
Groq
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Llama 3.3 70B Instruct
Avg Score:74.7%
Providers:9
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Llama 4 Maverick
Avg Score:77.9%(+3.2%)
Providers:7