Command R (08-2024) vs GLM 4.6 (Comparative Analysis)
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Comparative Analysis: Command R (08-2024) vs. GLM 4.6
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Overview
Command R (08-2024) was released 1 year before GLM 4.6.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 204.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4K tokens | 131.1K tokens |
Release Date When this model first became publicly available | August 30, 2024 1 year ago August 30th, 2024 | September 30, 2025 10 months ago September 30th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2024 | March 31, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Command R (08-2024) | GLM 4.6 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Cohere | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
Command R (08-2024) is roughly 0.3x less expensive compared to GLM 4.6 for input tokens and roughly 0.3x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.15 per million tokens | $0.50 per million tokens |
Output Token Cost Cost per million output tokens | $0.60 per million tokens | $2.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.10 per million tokens |
Benchmarks
Compare relevant benchmarks between Command R (08-2024) and GLM 4.6.
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 28.7 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 45.8 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 17.7 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,206 Elo (#45 in Game Dev (54.6% win rate)) |
At a Glance
Quick overview of what makes Command R (08-2024) and GLM 4.6 unique.
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