Which is better for coding — DeepSeek-V3.2 (Thinking) or MiniMax M2.7?

Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.

Which model is cheaper — DeepSeek-V3.2 (Thinking) or MiniMax M2.7?

DeepSeek-V3.2 (Thinking) is cheaper for input: $0.28 per 1M tokens vs $0.30.

Which has a larger context window — DeepSeek-V3.2 (Thinking) or MiniMax M2.7?

MiniMax M2.7 supports a larger context: 205,000 tokens vs 131,072.

DeepSeek-V3.2 (Thinking) vs MiniMax M2.7: Specs & Benchmark Comparison

DeepSeek-V3.2 (Thinking)

DeepSeek

MiniMax M2.7

MiniMax

Characteristic	DeepSeek-V3.2 (Thinking)	MiniMax M2.7
Company	DeepSeek	MiniMax
Release Date	November 30, 2025	March 18, 2026
Parameters	685B	—
Multimodal	No	No
Context (input)	131K	205K
Context (output)	66K	100K
Input Price / 1M	$0.28	$0.30
Output Price / 1M	$0.42	$1.20
Average Score	0.9	0.0

Verdict

MiniMax M2.7 leads in 2 out of 3 comparison categories.

API Cost

DeepSeek-V3.2 (Thinking) is 2.1x cheaper: input $0.28/1M vs $0.30/1M tokens.

Context Window

MiniMax M2.7 supports a larger context: 205K vs 131K tokens.

Recency

MiniMax M2.7 is newer: released 3/18/2026 vs 11/30/2025.

More About These Models

DeepSeek-V3.2 (Thinking)

DeepSeek — specs, benchmarks, API

MiniMax M2.7

MiniMax — specs, benchmarks, API

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The DeepSeek-V3.2 (Thinking) and MiniMax M2.7 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.2 (Thinking) or MiniMax M2.7 page. See also the complete list of AI model comparisons.