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Put models side by side on price, context, capabilities, and benchmarks.
Morph V3 Large is Morph's high-accuracy code-merging "apply" model, achieving around 98% accuracy on complex edits at moderate speed. It is best used when merge correctness matters more than raw speed, such as applying intricate multi-file diffs from a coding agent.
Cost rate
0.5x
Context
262K
Input
Output
Reasoning
Tool calling
Structured outputs
Pricing/M tokens
Input$0.90
Cached input$0.00
Output$1.90
Context
Context length262,144
Max output tokens131,072
Knowledge cutoff-
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
