DeepSeek R1 (0528) vs MiniMax M2

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.

MiniMax M2

MiniMax · Oct 2025

68.9

A 10B-active MoE tuned purely for agents and code — striking capability-per-active-parameter at rock-bottom prices.

The verdict

DeepSeek R1 (0528) wins 2 of the 2 benchmarks these models share, against 0 for MiniMax M2. MiniMax M2 is about 1.8x cheaper per blended million tokens (3:1 input:output mix). MiniMax M2 also takes 205K of context versus 128K for DeepSeek R1 (0528).

Benchmark head-to-head 20

GPQA Diamond
81%~78%
DeepSeek R1 (0528)MiniMax M2
MMLU-Pro
84.8%~82%
DeepSeek R1 (0528)MiniMax M2

Specs & pricing

DeepSeek R1 (0528)MiniMax M2
modhub Index67.868.9
Input price / 1M$0.55$0.3
Output price / 1M$2.19$1.2
Context window128K205K
Max output64K
Open weightsyes (MIT)yes (MIT)
Reasoning modelyesyes
Multimodal inputtexttext
Knowledge cutoffMar 2025Jun 2025
ReleasedMay 2025Oct 2025
Example monthly cost*$8.79$4.80

* 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 MiniMax M2?
DeepSeek R1 (0528) wins 2 of the 2 benchmarks these models share, against 0 for MiniMax M2. MiniMax M2 is about 1.8x cheaper per blended million tokens (3:1 input:output mix). MiniMax M2 also takes 205K of context versus 128K for DeepSeek R1 (0528).
Which is cheaper, DeepSeek R1 (0528) or MiniMax M2?
DeepSeek R1 (0528) costs $0.55/$2.19 per million input/output tokens, while MiniMax M2 costs $0.3/$1.2. For a typical workload of 10M input and 1.5M output tokens per month, that's $8.79 versus $4.80.
Which model is better for coding, DeepSeek R1 (0528) or MiniMax M2?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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