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Command R+ vs Hy3 preview

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 Command R+ and Hy3 preview.

Cohere

Command R+

Cohere's enterprise-optimized model built for advanced Retrieval-Augmented Generation (RAG) and multi-step tool use. Highly effective for multilingual business processes.

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Tencent

Hy3 preview

Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...

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Technical Specifications

SpecificationCommand R+Hy3 preview
ProviderCohereTencent
Context Window128,000 tokens262,144 tokens
Agent Suitability86/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-04-042026-04-22

API Pricing Comparison

Input Price per Million Tokens

Command R+

$2.50

Hy3 preview

$0.06

Output Price per Million Tokens

Command R+

$10.00

Hy3 preview

$0.21

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
7570.0%vs8350.0%
Command R+
Hy3 preview
HumanEvalPython coding & logic synthesis
7800.0%vs8400.0%
Command R+
Hy3 preview
MATHComplex mathematical problem solving
6200.0%vs5900.0%
Command R+
Hy3 preview
GPQAGraduate-level expert reasoning
4200.0%vs4200.0%
Command R+
Hy3 preview
HellaSwagCommonsense reasoning and inference
8250.0%vs8480.0%
Command R+
Hy3 preview
MT-BenchMulti-turn conversation flow quality
800.0%vs882.0%
Command R+
Hy3 preview

Command R+ Quirks & Gotchas

  • โ–ธOptimized for RAG workflows โ€” best enterprise document search model
  • โ–ธTool calling requires explicit step definitions in Cohere's tool-use format

Hy3 preview Quirks & Gotchas

No developer gotchas reported.