Cohere: Command R+ (08-2024) vs Meta: Llama 4 Maverick
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- Meta: Llama 4 Maverick has a 1049K-token context window — 8.2× larger than Cohere: Command R+ (08-2024)'s 128K.
- Meta: Llama 4 Maverick is 94% cheaper per 1K input tokens than Cohere: Command R+ (08-2024) ($0.0001 vs $0.0025).
- Cohere: Command R+ (08-2024) is built by Cohere; Meta: Llama 4 Maverick is built by Meta.
- Meta: Llama 4 Maverick supports vision (image inputs); the other does not.
Specifications
| Cohere: Command R+ (08-2024) | Meta: Llama 4 Maverick | |
|---|---|---|
| Provider | Cohere | Meta |
| Context window | 128K | 1049K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0025 | $0.0001 |
| Output price / 1K tokens | $0.0100 | $0.0006 |
| Vision support | No | Yes |
| Function calling | No | No |
| License | Proprietary | Proprietary |
About Cohere: Command R+ (08-2024)
Other·Closedcommand-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...
View Cohere: Command R+ (08-2024) reliability and benchmark history →About Meta: Llama 4 Maverick
US·ClosedLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
View Meta: Llama 4 Maverick reliability and benchmark history →Try them yourself
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