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Claude 3.5 Haiku vs Command R (08-2024)

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude 3.5 Haiku and Command R (08-2024).

Anthropic

Claude 3.5 Haiku

Claude 3.5 Haiku is the fast, cost-efficient member of the Claude 3.5 model family from Anthropic, built to deliver strong performance for coding, text processing, and multi-turn conversation at minimal inference cost. With a 200,000-token context window and pricing at $0.80/MTok for input, it is optimized for high-throughput, latency-sensitive production applications such as real-time chat interfaces, code completion tools, and classification systems. While smaller than its Sonnet and Opus siblings, Claude 3.5 Haiku retains Anthropic's strong alignment and safety properties, making it a reliable choice for consumer-facing AI features.

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Cohere

Command R (08-2024)

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...

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Technical Specifications

SpecificationClaude 3.5 HaikuCommand R (08-2024)
ProviderAnthropicCohere
Context Window200,000 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-11-042024-08-30

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

Command R (08-2024)

$0.15

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

Command R (08-2024)

$0.60

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7520.0%vsN/A
Claude 3.5 Haiku
Command R (08-2024)
HumanEvalPython coding & logic synthesis
8810.0%vsN/A
Claude 3.5 Haiku
Command R (08-2024)
MATHComplex mathematical problem solving
5160.0%vsN/A
Claude 3.5 Haiku
Command R (08-2024)
GPQAGraduate-level expert reasoning
4150.0%vsN/A
Claude 3.5 Haiku
Command R (08-2024)
HellaSwagCommonsense reasoning and inference
8920.0%vsN/A
Claude 3.5 Haiku
Command R (08-2024)
MT-BenchMulti-turn conversation flow quality
850.0%vsN/A
Claude 3.5 Haiku
Command R (08-2024)

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

Command R (08-2024) Quirks & Gotchas

No developer gotchas reported.