DeepSeek R1 (0528) vs Llama 4 Maverick

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

DeepSeek R1 (0528)

DeepSeek · May 2025

67.8

The open reasoning model that started it all — RL-trained chain-of-thought, MIT licensed, and a research landmark.

Llama 4 Maverick

Meta · Apr 2025

Meta's natively multimodal 400B MoE — the largest openly downloadable US-made model, served cheaply across many hosts.

The verdict

DeepSeek R1 (0528) wins 2 of the 2 benchmarks these models share, against 0 for Llama 4 Maverick. Llama 4 Maverick is about 2.3x cheaper per blended million tokens (3:1 input:output mix). Llama 4 Maverick also takes 1M of context versus 128K for DeepSeek R1 (0528).

Benchmark head-to-head 20

GPQA Diamond
81%69.8%
DeepSeek R1 (0528)Llama 4 Maverick
MMLU-Pro
84.8%80.5%
DeepSeek R1 (0528)Llama 4 Maverick

Specs & pricing

DeepSeek R1 (0528)Llama 4 Maverick
modhub Index67.8
Input price / 1M$0.55$0.27
Output price / 1M$2.19$0.85
Context window128K1M
Max output64K
Open weightsyes (MIT)yes (Llama 4 Community License)
Reasoning modelyesno
Multimodal inputtexttext, image
Knowledge cutoffMar 2025Aug 2024
ReleasedMay 2025Apr 2025
Example monthly cost*$8.79$3.98

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, DeepSeek R1 (0528) or Llama 4 Maverick?
DeepSeek R1 (0528) wins 2 of the 2 benchmarks these models share, against 0 for Llama 4 Maverick. Llama 4 Maverick is about 2.3x cheaper per blended million tokens (3:1 input:output mix). Llama 4 Maverick also takes 1M of context versus 128K for DeepSeek R1 (0528).
Which is cheaper, DeepSeek R1 (0528) or Llama 4 Maverick?
DeepSeek R1 (0528) costs $0.55/$2.19 per million input/output tokens, while Llama 4 Maverick costs $0.27/$0.85. For a typical workload of 10M input and 1.5M output tokens per month, that's $8.79 versus $3.98.
Which model is better for coding, DeepSeek R1 (0528) or Llama 4 Maverick?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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