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Claude 3 Haiku vs Magistral Medium
Comprehensive side-by-side LLM comparison
Claude 3 Haiku leads with 26.6% higher average benchmark score. Claude 3 Haiku is available on 3 providers. Overall, Claude 3 Haiku is the stronger choice for coding tasks.
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Anthropic
Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.
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Mistral AI
Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
1 year newer
Claude 3 Haiku
Anthropic
2024-03-13
Magistral Medium
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Claude 3 Haiku
Average Score:47.6%(+26.6%)
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Magistral Medium
Average Score:21.0%
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Knowledge Cutoff
Training data recency comparison
Magistral Medium
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Claude 3 Haiku
3 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 104 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3 Haiku
Avg Score:47.6%(+26.6%)
Providers:3
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Magistral Medium
Avg Score:21.0%
Providers:0