Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Data sourced from the Interestana AI Index, kept current as developers update their models.
Model A — DeepSeek
DeepSeek R1 is an open-weight reasoning model trained primarily via reinforcement learning. It reproduced much of the performance of OpenAI’s o1 at a fraction of the inference price.
Model B — Meta
Llama 4 405B is Meta’s frontier-class open-weight model, distributed under the Llama Community License. Strong on multilingual tasks and competitive with proprietary models on reasoning benchmarks.
| Property | DeepSeek R1 | Llama 4 405B |
|---|---|---|
| Released | Jan 20, 2025 | Apr 5, 2025 |
| Developer | DeepSeek | Meta |
| Type | reasoning | multimodal |
| License | open-weight | open-weight |
| Context window | 128,000 | 1,000,000 |
| Parameters | 685B MoE (37B active) | 405B |
| Input $/M tokens | $0.55 | — |
| Output $/M tokens | $2.19 | — |
Bold green values indicate the winner on that dimension where comparison is meaningful (lower price wins; bigger context wins; more open license wins; newer date wins).
No shared capabilities
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