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Mistral Nemo is a 12B-parameter multilingual model built by Mistral AI in collaboration with NVIDIA, featuring a 128K context window. It is designed for efficient reasoning, coding, and multilingual chat with a strong performance-to-size ratio.
Cost rate
0.1x
Context
131K
Input
Output
Reasoning
Tool calling
Structured outputs
Pricing/M tokens
Input$0.02
Cached input$0.00
Output$0.03
Context
Context length131,072
Max output tokens16,384
Knowledge cutoff2024-04-30
Performance
Throughput-
Latency-
Claude Haiku 4.5 is Anthropic's fast, affordable small model in the Claude 4 generation, balancing strong instruction-following and coding ability with low latency. It is designed for high-throughput agentic and chat applications where speed and cost efficiency are priorities.
Document analysis#31Software & IT Services#100Mathematical#101Writing, Literature, & Language#109
Cost rate
1x
Context
200K
Input
Output
Reasoning
Tool calling
Structured outputs
Pricing/M tokens
Input$1.00
Cached input$0.10
Output$5.00
Context
Context length200,000
Max output tokens64,000
Knowledge cutoff-
Performance
Throughput90 tok/s
Latency1.04s
Benchmarks
Head-to-head scores across reasoning, coding, and agentic indices, plus per-domain rankings.
Intelligence
62.5
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)62.5Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)62.1Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)60.9
